Tutorial at DCMI conference in Seoul, 2019-09-25, by Tom Baker, Joachim Neubert and Andra Waagmeester
Rendered HTML version: https://jneubert.github.io/wd-dcmi2019/#/
Providing Tools for Author Evaluation - A case studyinscit2006
The document discusses tools in Scopus for author evaluation. It outlines challenges in author evaluation including author disambiguation and data limitations. Scopus addresses this through the Author Identifier which uses publication data to group documents by author, improving disambiguation. The Citation Tracker and H-index provide visual citation analysis tools for author evaluation. PatentCites and WebCites additionally track citations in patents and web sources. Quality author evaluation depends on underlying source data quality, and Scopus aims to make author information objective, quantitative, and globally comparative.
Vital AI MetaQL: Queries Across NoSQL, SQL, Sparql, and SparkVital.AI
This document provides an overview of MetaQL, which allows composing queries across NoSQL, SQL, SPARQL, and Spark databases using a domain model. Key points include:
- MetaQL uses a domain model to define concepts and compose typed queries in code that can execute across different databases.
- This separates concerns and improves developer efficiency over managing schemas and databases separately.
- Examples demonstrate MetaQL queries in graph, path, select, and aggregation formats across SQL, NoSQL, and RDF implementations.
20161004 “Open Data Web” – A Linked Open Data Repository Built with CKANandrea huang
Our team is in Madrid (#CKANCon) to introduce our #LODLAM implementation. The http://data.odw.tw just out. (Slides at https://goo.gl/KJApV8 ) If you are at #IODC16, you are also welcome to discuss with our team in person. #opendata
More introduction about data.odw.tw can be accessed at https://goo.gl/YUSI74 (chinese) and https://goo.gl/2u07Ap (english).
Slides used to introduce the technical aspects of DSpace-CRIS to the technical staff of the Hamburg University of Technology.
Main topics:
The DSpace-CRIS data model: additional entities, interactions with the DSpace data model (authority framework), enhanced metadata, inverse relationship
ORCID integration & technical details: available features & use cases (authentication, authorization, profile claiming, profile synchronization push & pull, registry lookup), configuration, API-KEY, use of the sandbox, metadata mapping
Relations for Reusing (R4R) in A Shared Context: An Exploration on Research P...andrea huang
Will the rich domain knowledge from research publications and the implicit cross-domain metadata of cultural objects be compliant with each other? A contextual framework is proposed as dynamic and relational in supporting three different contexts: Reusing, Publication and Curation, which are individually constructed but overlapped with major conceptual elements. A Relations for Reusing (R4R) ontology has been devised for modeling these overlapping
conceptual components (Article, Data, Code, Provence, and License) for interlinking research outputs and cultural heritage data. In particular, packaging and citation relations are key to build up interpretations for dynamic contexts. Examples are provided for illustrating how the linking mechanism can be constructed and represented as a result to reveal the data linked in different contexts.
Metadata Provenance Tutorial at SWIB 13, Part 1Kai Eckert
The slides of part one of the Metadata Provenance Tutorial (Linked Data Provenance). Part 2 is here: http://de.slideshare.net/MagnusPfeffer/metadata-provenance-tutorial-part-2-modelling-provenance-in-rdf
The document discusses creating Linked Open Data (LOD) microthesauri from the Art & Architecture Thesaurus (AAT). It defines a microthesaurus as a designated subset of a thesaurus that can function independently. The document provides an overview of creating an AAT-based LOD dataset for a digital art and architecture collection. It also demonstrates how to extract concept URIs and labels from the AAT thesaurus structure using SPARQL queries to build microthesauri.
The document discusses creating intelligent, data-driven applications using the Vital.AI platform. The platform combines semantics and big data techniques to allow applications to learn from experience and dynamically adjust behaviors. It provides components for data collection, analysis, predictive modeling, and dynamically generating user interfaces and logic based on an application ontology. This allows for more efficient and rapid development of intelligent apps that can adapt over time.
Putting Historical Data in Context: how to use DSpace-GLAM4Science
This document discusses using DSpace and DSpace-GLAM to manage digital cultural heritage data. It provides an overview of DSpace's data model and functionality for ingesting, describing, and sharing digital objects. It then introduces DSpace-GLAM, an extension of DSpace developed for cultural heritage institutions. DSpace-GLAM adds additional entity types, relationships, and metadata to better represent cultural concepts. It also provides tools for visualizing and analyzing datasets.
A Linked Data Prototype for the Union Catalog of Digital Archives Taiwanandrea huang
Linked data paradigm has provided the potential for any data to link or to be linked with structural information, internally and externally. To improve on current cultural
service of the Union Catalog of Digital Archives Taiwan (catalog.digitalarchives.tw), a linked data prototype is developed and benefited by extending the Art & Architecture Thesaurus (AAT) for a machine-understandable catalog service.
However, knowledge engineering is time and labor consuming, especially for an archive that is non-western based in culture and multidisciplinary in natural. This
makes data semantics of the UCdaT are extremely challenged for mapping to international standards and vocabularies.
At this stage, the triple store is an experimental addition to the existing Union Catalog of Digital Archives Taiwan architecture, and provides semantic links to target collections for relative suggestions. This will guide us in creating a future technical architecture that is scalable to the whole archive level, compliant with learning by doing
guidelines, and preserves the data even that is difficult to be understood fully at present, but at least to be linked by others that may provide third-party’s understandings for their own reuse.
Semantics for Big Data Integration and AnalysisCraig Knoblock
Much of the focus on big data has been on the problem of processing very large sources. There is an equally hard problem of how to normalize, integrate, and transform the data from many sources into the format required to run large-scale anal- ysis and visualization tools. We have previously developed an approach to semi-automatically mapping diverse sources into a shared domain ontology so that they can be quickly com- bined. In this paper we describe our approach to building and executing integration and restructuring plans to support analysis and visualization tools on very large and diverse datasets.
20160818 Semantics and Linkage of Archived Catalogsandrea huang
1. The document discusses representing archive catalog data as linked data using semantic web technologies. It involves mapping catalog metadata from XML and CSV formats to RDF and linking to external vocabularies.
2. A system is presented that converts archive catalogs to linked data, stores it using CKAN and provides SPARQL querying. It allows browsing catalog records, performing spatial and temporal queries.
3. An ontology called voc4odw is introduced for organizing open data. It is based on the R4R ontology and aims to semantically enrich catalog records by linking objects, events, places and times using common vocabularies.
Leverage DSpace for an enterprise, mission critical platformAndrea Bollini
Conference: Open Repository, Indianapolis, 8-12 June 2015
Presenters: Andrea Bollini, Michele Mennielli
Cineca, Italy
We would like to share with the DSpace Community some useful tips, starting from how to embed DSpace into a larger IT ecosystem that can provide additional value to the information managed. We will then show how publication data in DSpace - enriched with a proper use of the authority framework - can be combined with information coming from the HR system. Thanks to this, the system can provide rich and detailed reports and analysis through a business intelligence solution based on the Pentaho’s Mondrian OLAP open source data integration tools.
We will also present other use cases related to the management of publication information for reporting purpose: publication record has an extended lifecycle compared to the one in a basic IR; system load is much bigger, especially in writing, since the researchers need to be able to make changes to enrich data when new requirements come from the government or the university researcher office; data quality requires the ability to make distributed changes to the publication also after the conclusion of a validation workflow.
Finally we intend to present our direct experience and the challenges we faced to make DSpace easily and rapidly deployable to more than 60 sites.
CLARIN CMDI use case and flexible metadata schemes vty
Presentation for CLARIAH IG Linked Open Data on the latest developments for Dataverse FAIR data repository. Building SEMAF workflow with external controlled vocabularies support and Semantic API. Using the theory of inventive problem solving TRIZ for the further innovation in Linked Data.
WWW2014 Overview of W3C Linked Data Platform 20140410Arnaud Le Hors
The document summarizes the Linked Data Platform (LDP) being developed by the W3C Linked Data Platform Working Group. It describes the challenges of using Linked Data for application integration today and how the LDP specification aims to address these by defining HTTP-based patterns for creating, reading, updating and deleting Linked Data resources and containers in a standardized, RESTful way. The LDP models resources as HTTP entities that can be manipulated via standard methods and represent their state using RDF, addressing questions around resource management that the original Linked Data principles did not.
Open Archives Initiative Object Reuse and Exchangelagoze
This document discusses infrastructure to support new models of scholarly publication by enabling interoperability across repositories through common data modeling and services. It proposes building blocks like repositories, digital objects, a common data model, serialization formats, and core services. This would allow components like publications and data to move across repositories and workflows, facilitating reuse and new value-added services that expose the scholarly communication process.
The document discusses recent developments at the W3C related to semantic technologies. It highlights several technologies that have been under development including RDFa, Linked Open Data, OWL 2, and SKOS. It provides examples of how the Linked Open Data project has led to billions of triples and millions of links between open datasets. Applications using this linked data are beginning to emerge for activities like bookmarking, exploring social graphs, and financial reporting.
Nelson Piedra , Janneth Chicaiza
and Jorge López, Universidad Técnica Particular de Loja, Edmundo
Tovar, Universidad Politécnica de Madrid,
and Oscar Martínez, Universitas
Miguel Hernández
Explore the advantages of using linked data with OERs.
This presentation as been used to start the pilot phase of the OpenAIRE Advance' funded implementation project in DSpace-CRIS.
DSpace-CRIS now provide support for the OpenAIRE guidelines for CRIS manager in addition to the previous already supported guidelines for Literature Repository and DataArchive
How to describe a dataset. Interoperability issuesValeria Pesce
Presented by Valeria Pesce during the pre-meeting of the Agricultural Data Interoperability Interest Group (IGAD) of the Research Data Alliance (RDA), held on 21 and 22 September 2015 in Paris at INRA.
Data Enthusiasts London: Scalable and Interoperable data services. Applied to...Andy Petrella
Data science requires so many skills, people and time before the results can be accessed. Moreover, these results cannot be static anymore. And finally, the Big Data comes to the plate and the whole tool chain needs to change.
In this talk Data Fellas introduces Shar3, a tool kit aiming to bridged the gaps to build a interactive distributed data processing pipeline, or loop!
Then the talk covers genomics nowadays problems including data types, processing, discovery by introducing the GA4GH initiative and its implementation using Shar3.
This document discusses approaches for creating linked data from relational databases. It begins by outlining the motivations and benefits, such as bootstrapping the semantic web with large datasets and facilitating database integration. It then discusses existing classifications of approaches and proposes a new classification based on whether an existing ontology is used, the domain of any generated ontology, and whether database reverse engineering is applied. The document also describes several descriptive features of different approaches, such as the level of automation, how data is accessed, and whether mappings are static or dynamic. Overall, the document provides an overview of converting relational database content into linked data.
A Generic Scientific Data Model and Ontology for Representation of Chemical DataStuart Chalk
The current movement toward openness and sharing of data is likely to have a profound effect on the speed of scientific research and the complexity of questions we can answer. However, a fundamental problem with currently available datasets (and their metadata) is heterogeneity in terms of implementation, organization, and representation.
To address this issue we have developed a generic scientific data model (SDM) to organize and annotate raw and processed data, and the associated metadata. This paper will present the current status of the SDM, implementation of the SDM in JSON-LD, and the associated scientific data model ontology (SDMO). Example usage of the SDM to store data from a variety of sources with be discussed along with future plans for the work.
Structured Dynamics provides 'ontology-driven applications'. Our product stack is geared to enable the semantic enterprise. The products are premised on preserving and leveraging existing information assets in an incremental, low-risk way. SD's products span from converters to authoring environments to Web services middleware and to eventual ontologies and user interfaces and applications.
Storing and Querying Semantic Data in the CloudSteffen Staab
Daniel Janke and Steffen Staab. Tutorial at Reasoning Web
With proliferation of semantic data, there is a need to cope with trillions of triples by horizontally scaling data management in the cloud. To this end one needs to advance (i) strategies for data placement over compute and storage nodes, (ii) strategies for distributed query processing, and (iii) strategies for handling failure of compute and storage nodes. In this tutorial, we want to review challenges and how they have been addressed by research and development in the last 15 years.
Linking Knowledge Organization Systems via Wikidata (DCMI conference 2018)Joachim Neubert
Wikidata has been used sucessfully as a linking hub for authoritiy files. Knowledge organization systems like thesauri or classifications are more complex and pose additional challenges.
Semantic web technologies applied to bioinformatics and laboratory data manag...Toni Hermoso Pulido
This document discusses using semantic web technologies and semantic wikis for bioinformatics and laboratory data management. It provides examples of semantic wikis like SNPedia and Gene Wiki that organize and semantically tag genetic and bioinformatics data. It also describes a proposed "Protein-Wiki" system built with Semantic MediaWiki to manage protein production workflows and experiments at a bioinformatics core facility in a customizable, semantic and open-source way.
The document discusses creating Linked Open Data (LOD) microthesauri from the Art & Architecture Thesaurus (AAT). It defines a microthesaurus as a designated subset of a thesaurus that can function independently. The document provides an overview of creating an AAT-based LOD dataset for a digital art and architecture collection. It also demonstrates how to extract concept URIs and labels from the AAT thesaurus structure using SPARQL queries to build microthesauri.
The document discusses creating intelligent, data-driven applications using the Vital.AI platform. The platform combines semantics and big data techniques to allow applications to learn from experience and dynamically adjust behaviors. It provides components for data collection, analysis, predictive modeling, and dynamically generating user interfaces and logic based on an application ontology. This allows for more efficient and rapid development of intelligent apps that can adapt over time.
Putting Historical Data in Context: how to use DSpace-GLAM4Science
This document discusses using DSpace and DSpace-GLAM to manage digital cultural heritage data. It provides an overview of DSpace's data model and functionality for ingesting, describing, and sharing digital objects. It then introduces DSpace-GLAM, an extension of DSpace developed for cultural heritage institutions. DSpace-GLAM adds additional entity types, relationships, and metadata to better represent cultural concepts. It also provides tools for visualizing and analyzing datasets.
A Linked Data Prototype for the Union Catalog of Digital Archives Taiwanandrea huang
Linked data paradigm has provided the potential for any data to link or to be linked with structural information, internally and externally. To improve on current cultural
service of the Union Catalog of Digital Archives Taiwan (catalog.digitalarchives.tw), a linked data prototype is developed and benefited by extending the Art & Architecture Thesaurus (AAT) for a machine-understandable catalog service.
However, knowledge engineering is time and labor consuming, especially for an archive that is non-western based in culture and multidisciplinary in natural. This
makes data semantics of the UCdaT are extremely challenged for mapping to international standards and vocabularies.
At this stage, the triple store is an experimental addition to the existing Union Catalog of Digital Archives Taiwan architecture, and provides semantic links to target collections for relative suggestions. This will guide us in creating a future technical architecture that is scalable to the whole archive level, compliant with learning by doing
guidelines, and preserves the data even that is difficult to be understood fully at present, but at least to be linked by others that may provide third-party’s understandings for their own reuse.
Semantics for Big Data Integration and AnalysisCraig Knoblock
Much of the focus on big data has been on the problem of processing very large sources. There is an equally hard problem of how to normalize, integrate, and transform the data from many sources into the format required to run large-scale anal- ysis and visualization tools. We have previously developed an approach to semi-automatically mapping diverse sources into a shared domain ontology so that they can be quickly com- bined. In this paper we describe our approach to building and executing integration and restructuring plans to support analysis and visualization tools on very large and diverse datasets.
20160818 Semantics and Linkage of Archived Catalogsandrea huang
1. The document discusses representing archive catalog data as linked data using semantic web technologies. It involves mapping catalog metadata from XML and CSV formats to RDF and linking to external vocabularies.
2. A system is presented that converts archive catalogs to linked data, stores it using CKAN and provides SPARQL querying. It allows browsing catalog records, performing spatial and temporal queries.
3. An ontology called voc4odw is introduced for organizing open data. It is based on the R4R ontology and aims to semantically enrich catalog records by linking objects, events, places and times using common vocabularies.
Leverage DSpace for an enterprise, mission critical platformAndrea Bollini
Conference: Open Repository, Indianapolis, 8-12 June 2015
Presenters: Andrea Bollini, Michele Mennielli
Cineca, Italy
We would like to share with the DSpace Community some useful tips, starting from how to embed DSpace into a larger IT ecosystem that can provide additional value to the information managed. We will then show how publication data in DSpace - enriched with a proper use of the authority framework - can be combined with information coming from the HR system. Thanks to this, the system can provide rich and detailed reports and analysis through a business intelligence solution based on the Pentaho’s Mondrian OLAP open source data integration tools.
We will also present other use cases related to the management of publication information for reporting purpose: publication record has an extended lifecycle compared to the one in a basic IR; system load is much bigger, especially in writing, since the researchers need to be able to make changes to enrich data when new requirements come from the government or the university researcher office; data quality requires the ability to make distributed changes to the publication also after the conclusion of a validation workflow.
Finally we intend to present our direct experience and the challenges we faced to make DSpace easily and rapidly deployable to more than 60 sites.
CLARIN CMDI use case and flexible metadata schemes vty
Presentation for CLARIAH IG Linked Open Data on the latest developments for Dataverse FAIR data repository. Building SEMAF workflow with external controlled vocabularies support and Semantic API. Using the theory of inventive problem solving TRIZ for the further innovation in Linked Data.
WWW2014 Overview of W3C Linked Data Platform 20140410Arnaud Le Hors
The document summarizes the Linked Data Platform (LDP) being developed by the W3C Linked Data Platform Working Group. It describes the challenges of using Linked Data for application integration today and how the LDP specification aims to address these by defining HTTP-based patterns for creating, reading, updating and deleting Linked Data resources and containers in a standardized, RESTful way. The LDP models resources as HTTP entities that can be manipulated via standard methods and represent their state using RDF, addressing questions around resource management that the original Linked Data principles did not.
Open Archives Initiative Object Reuse and Exchangelagoze
This document discusses infrastructure to support new models of scholarly publication by enabling interoperability across repositories through common data modeling and services. It proposes building blocks like repositories, digital objects, a common data model, serialization formats, and core services. This would allow components like publications and data to move across repositories and workflows, facilitating reuse and new value-added services that expose the scholarly communication process.
The document discusses recent developments at the W3C related to semantic technologies. It highlights several technologies that have been under development including RDFa, Linked Open Data, OWL 2, and SKOS. It provides examples of how the Linked Open Data project has led to billions of triples and millions of links between open datasets. Applications using this linked data are beginning to emerge for activities like bookmarking, exploring social graphs, and financial reporting.
Nelson Piedra , Janneth Chicaiza
and Jorge López, Universidad Técnica Particular de Loja, Edmundo
Tovar, Universidad Politécnica de Madrid,
and Oscar Martínez, Universitas
Miguel Hernández
Explore the advantages of using linked data with OERs.
This presentation as been used to start the pilot phase of the OpenAIRE Advance' funded implementation project in DSpace-CRIS.
DSpace-CRIS now provide support for the OpenAIRE guidelines for CRIS manager in addition to the previous already supported guidelines for Literature Repository and DataArchive
How to describe a dataset. Interoperability issuesValeria Pesce
Presented by Valeria Pesce during the pre-meeting of the Agricultural Data Interoperability Interest Group (IGAD) of the Research Data Alliance (RDA), held on 21 and 22 September 2015 in Paris at INRA.
Data Enthusiasts London: Scalable and Interoperable data services. Applied to...Andy Petrella
Data science requires so many skills, people and time before the results can be accessed. Moreover, these results cannot be static anymore. And finally, the Big Data comes to the plate and the whole tool chain needs to change.
In this talk Data Fellas introduces Shar3, a tool kit aiming to bridged the gaps to build a interactive distributed data processing pipeline, or loop!
Then the talk covers genomics nowadays problems including data types, processing, discovery by introducing the GA4GH initiative and its implementation using Shar3.
This document discusses approaches for creating linked data from relational databases. It begins by outlining the motivations and benefits, such as bootstrapping the semantic web with large datasets and facilitating database integration. It then discusses existing classifications of approaches and proposes a new classification based on whether an existing ontology is used, the domain of any generated ontology, and whether database reverse engineering is applied. The document also describes several descriptive features of different approaches, such as the level of automation, how data is accessed, and whether mappings are static or dynamic. Overall, the document provides an overview of converting relational database content into linked data.
A Generic Scientific Data Model and Ontology for Representation of Chemical DataStuart Chalk
The current movement toward openness and sharing of data is likely to have a profound effect on the speed of scientific research and the complexity of questions we can answer. However, a fundamental problem with currently available datasets (and their metadata) is heterogeneity in terms of implementation, organization, and representation.
To address this issue we have developed a generic scientific data model (SDM) to organize and annotate raw and processed data, and the associated metadata. This paper will present the current status of the SDM, implementation of the SDM in JSON-LD, and the associated scientific data model ontology (SDMO). Example usage of the SDM to store data from a variety of sources with be discussed along with future plans for the work.
Structured Dynamics provides 'ontology-driven applications'. Our product stack is geared to enable the semantic enterprise. The products are premised on preserving and leveraging existing information assets in an incremental, low-risk way. SD's products span from converters to authoring environments to Web services middleware and to eventual ontologies and user interfaces and applications.
Storing and Querying Semantic Data in the CloudSteffen Staab
Daniel Janke and Steffen Staab. Tutorial at Reasoning Web
With proliferation of semantic data, there is a need to cope with trillions of triples by horizontally scaling data management in the cloud. To this end one needs to advance (i) strategies for data placement over compute and storage nodes, (ii) strategies for distributed query processing, and (iii) strategies for handling failure of compute and storage nodes. In this tutorial, we want to review challenges and how they have been addressed by research and development in the last 15 years.
Linking Knowledge Organization Systems via Wikidata (DCMI conference 2018)Joachim Neubert
Wikidata has been used sucessfully as a linking hub for authoritiy files. Knowledge organization systems like thesauri or classifications are more complex and pose additional challenges.
Semantic web technologies applied to bioinformatics and laboratory data manag...Toni Hermoso Pulido
This document discusses using semantic web technologies and semantic wikis for bioinformatics and laboratory data management. It provides examples of semantic wikis like SNPedia and Gene Wiki that organize and semantically tag genetic and bioinformatics data. It also describes a proposed "Protein-Wiki" system built with Semantic MediaWiki to manage protein production workflows and experiments at a bioinformatics core facility in a customizable, semantic and open-source way.
This tutorial explains the Data Web vision, some preliminary standards and technologies as well as some tools and technological building blocks developed by AKSW research group from Universität Leipzig.
RO-Crate: A framework for packaging research products into FAIR Research ObjectsCarole Goble
RO-Crate: A framework for packaging research products into FAIR Research Objects presented to Research Data Alliance RDA Data Fabric/GEDE FAIR Digital Object meeting. 2021-02-25
The document discusses architecting applications for the cloud using Microsoft technologies. It provides an overview of Microsoft's Azure platform, including hosting applications on Azure infrastructure as a service (IaaS) or platform as a service (PaaS). It also discusses using Azure storage services like tables, queues and blobs to build scalable cloud applications.
Knowledge Graph Conference 2021
Semantic MediaWiki (SMW), which was introduced as early as in 2006, has since gone on to establish a vital community and is currently one of the few semantic wiki solutions still in existence. SMW is an extension of MediaWiki, the software used for Wikipedia and many other projects, resulting in a largely sustainable codebase and ecosystem. There are many reasons why SMW should not be overlooked by the knowledge graph community:
SMW is capable of directly connecting to several triple stores (Blazegraph, Virtuoso, Jena), which is why it can be considered an interface for entering data into knowledge graphs.
SMW can use its internal relational database (or ElasticSearch), enabling users to build simple knowledge graphs without in-depth knowledge about triple stores.
SMW has the built-in capability of exporting to RDF including building complete RDF data dumps that can be imported into existing knowledge graphs.
SMW has the capability to reuse existing ontologies by importing vocabularies and providing unique identifiers.
The explicit semantic content of Semantic MediaWiki is formally interpreted in the OWL DL ontology language and is made available in XML/RDF format.
A simple internal query language is available to query the internal knowledge graph from within SMW, without the requirement of having a SPARQL endpoint. However, extensions for implementing SPARQL in SMW are available as well.
SMW has the capability to enable data curation for experienced users responsible for the ontology as well as simple form-based input for regular users that can easily populate the KG with data.
There are several approaches to visualizing data in SMW, thus making the knowledge graph visible and interactive.
Implementing custom ontologies in SMW is quite easy, everything is built-in wiki pages (e.g. definition of properties and datatypes, forms and templates).
SMW has low barriers to implementation as it is a clean extension to MediaWiki, which is PHP software running on regular web hosts.
In the talk, I will give an overview of the mentioned aspects and highlight some main differences to Wikibase – which is an alternative approach for managing structured data in MediaWiki – as well as the current limitations of SMW.
PoolParty Thesaurus Management - ISKO UK, London 2010Andreas Blumauer
Building and maintaining thesauri are complex and laborious tasks. PoolParty is a Thesaurus Management Tool (TMT) for the Semantic Web, which aims to support the creation and maintenance of thesauri by utilizing Linked Open Data (LOD), text-analysis and easy-to-use GUIs, so thesauri can be managed and utilized by domain experts without needing knowledge about the semantic web. Some aspects of thesaurus management, like the editing of labels, can be done via a wiki-style interface, allowing for lowest possible access barriers to contribution.
Vinod Chachra discussed improving discovery systems through post-processing harvested data. He outlined key players like data providers, service providers, and users. The harvesting, enrichment, and indexing processes were described. Facets, knowledge bases, and branding were discussed as ways to enhance discovery. Chachra concluded that progress has been made but more work is needed, and data and service providers should collaborate on standards.
For our next ArcReady, we will explore a topic on everyone’s mind: Cloud computing. Several industry companies have announced cloud computing services . In October 2008 at the Professional Developers Conference, Microsoft announced the next phase of our Software + Services vision: the Azure Services Platform. The Azure Services Platforms provides a wide range of internet services that can be consumed from both on premises environments or the internet.
Session 1: Cloud Services
In our first session we will explore the current state of cloud services. We will then look at how applications should be architected for the cloud and explore a reference application deployed on Windows Azure. We will also look at the services that can be built for on premise application, using .NET Services. We will also address some of the concerns that enterprises have about cloud services, such as regulatory and compliance issues.
Session 2: The Azure Platform
In our second session we will take a slightly different look at cloud based services by exploring Live Mesh and Live Services. Live Mesh is a data synchronization client that has a rich API to build applications on. Live services are a collection of APIs that can be used to create rich applications for your customers. Live Services are based on internet standard protocols and data formats.
This document summarizes lessons learned from developing semantic wikis. It discusses how semantic wikis differ from traditional wikis by embedding structured metadata and propagating that metadata via semantic queries. It then outlines key features for different user groups, including improved data generation and propagation tools for end users, and light-weight data modeling and fast prototyping for developers. Remaining issues are also discussed, such as managing public and personal data, improving scalability, and data portability and protection across multiple wikis.
DBpedia Spotlight is a system that automatically annotates text documents with DBpedia URIs. It identifies mentions of entities in text and links them to the appropriate DBpedia resources, addressing the challenge of ambiguity. The system is highly configurable, allowing users to specify which types of entities to annotate and the desired balance of coverage and accuracy. An evaluation found DBpedia Spotlight performed competitively compared to other annotation systems.
The document introduces the concept of Linked Data and discusses how it can be used to publish structured data on the web by connecting data from different sources. It explains the principles of Linked Data, including using HTTP URIs to identify things, providing useful information when URIs are dereferenced, and including links to other URIs to enable discovery of related data. Examples of existing Linked Data datasets and applications that consume Linked Data are also presented.
The document discusses technical issues and opportunities for improving the Global Biodiversity Information Facility's (GBIF) registry and portals for discovering biodiversity resources. It analyzes GBIF's past use of UDDI registry and data portal, and outlines challenges in developing a new graph-based registry model to better represent the network of institutions, collections, and relationships. The new registry aims to improve discoverability through associating automated and human-generated metadata, uniquely identifying resources, and defining services and vocabularies.
This talk introduces the concepts of web 3.0 technology and how they relate to related technologies such as Internet of Things (IoT), Grid Computing and the Semantic Web:
• A short history of web technologies:
o Web 1.0: Publishing static information with links for human consumption.
o Web 2.0: Publishing dynamic information created by users, for human consumption.
o Web 3.0: Publishing all kinds of information with links between data items, for machine consumption.
• Standardization of protocols for description of any type of data (RDF, N3, Turtle).
• Standardization of protocols for the consumption of data in “the grid” (SPARQL).
• Standardization of protocols for rules (RIF).
• Comparison with the evolution of technologies related to data bases.
• Comparison of IoT solutions based on web 2.0 and web 3.0 technologies.
• Distributed solutions vs centralized solutions..
• Security
• Extensions of Peer-to-peer protocols (XMPP).
• Advantages of solutions based on web 3.0 and standards (IETF, XSF).
Duration of talk: 1-2 hours with questions.
It is important to make architecture accessible in a good way so that it is accessible to all target groups as much as possible. At the same time, architectural languages such as ArchiMate are not fully focused on this. In addition, they are actually too abstract. You cannot express exactly enough what you are trying to model and the resulting model is open to several interpretations. Linked Data fits in well with these objectives and makes it easier to define and unlock more accessible and more targeted information.
In this presentation Danny Greefhorst will tell more about the motivation behind the idea, but also show a further elaboration. For example, he has made a mapping of ArchiMate to commonly used Linked Data vocabularies. He also made a demonstrator, in which you can see how you can define, enrich and publish ArchiMate models as Linked Data. He will also discuss how the European reference architecture EIRA is available as Linked Data.
The document introduces the Scholarly Works Application Profile (SWAP), which is a Dublin Core application profile for describing scholarly works held in institutional repositories. SWAP defines a model for scholarly works and their relationships using entities like ScholarlyWork, Expression, Manifestation, and Copy. It also specifies a set of metadata properties and an XML format for encoding and sharing metadata records between systems according to this model. The document provides an example of using SWAP to describe a scholarly work with multiple expressions, manifestations, and copies.
Enterprise guide to building a Data MeshSion Smith
Making Data Mesh simple, Open Source and available to all; without vendor lock-in, without complex tooling and to use an approach centered around ‘specifications’, existing tools and baking in a ‘domain’ model.
Big Data Analytics from Azure Cloud to Power BI MobileRoy Kim
This document discusses using Azure services for big data analytics and data insights. It provides an overview of Azure services like Azure Batch, Azure Data Lake, Azure HDInsight and Power BI. It then describes a demo solution that uses these Azure services to analyze job posting data, including collecting data using a .NET application, storing in Azure Data Lake Store, processing with Azure Data Lake Analytics and Azure HDInsight, and visualizing results in Power BI. The presentation includes architecture diagrams and discusses implementation details.
Exploring and mapping the category system of the world‘s largest public press...Joachim Neubert
ZBW is a member of the Leibniz Association that has explored and mapped the category system of the world's largest public press archives. The archives contain over 25,000 thematic dossiers from 1908 to 1949 about persons, general subjects, events, and companies with over 2 million scanned pages available online. ZBW aims to map the historic system used to organize knowledge about the world in the press archives to Wikidata to make the information more accessible.
Donating data to Wikidata: First experiences from the „20th Century Press Arc...Joachim Neubert
This document summarizes ZBW's experiences donating data from its 20th Century Press Archives (PM20) collection to Wikidata. PM20 contains over 2 million digitized newspaper clippings organized into 25,000 thematic dossiers on general topics, persons, companies, and products from 1908-1949. ZBW aims to link all PM20 dossier folders to Wikidata items to provide open access to these historical sources. So far, ZBW has added over 5,000 links and 6,000 statements from PM20 dossiers to Wikidata items on persons. Their next challenge is mapping PM20's hierarchical organization of dossiers on countries and topics to Wikidata.
Wikidata as opportunity for special collections: the 20th Century Press Archi...Joachim Neubert
This document discusses transferring metadata from the 20th Century Press Archives to Wikidata. It begins by describing the press archives collection. It then explains why Wikidata is a good platform, being sustainable, editable, and with linked open data capabilities. The document outlines the process of linking the archive's metadata to existing Wikidata items, creating new items, and adding metadata to items. It provides an example of using the linked data to create a map of economists in the collection. Future plans include linking more archive folders to items and creating pages for each folder on the archive's website.
ZBW is a member of the Leibniz Association and maintains the 20th Century Press Archives. The archives contain over 1 million digitized newspaper clippings from 1500+ newspapers covering persons, companies, products, and events. To ensure long term sustainability, ZBW is making the folder metadata from the archives openly available on Wikidata to allow for improved discovery, access, and maintenance of the metadata. Over 90% of person folders from the archives have already been linked on Wikidata. This integration with Wikidata will provide new interfaces and APIs for working with the press archive metadata.
1) The 20th Century Press Archives housed at ZBW, a member of the Leibniz Association, contains digitized press clippings dating back to 1826 that were organized into dossiers on persons, companies, products and events.
2) The metadata for the dossiers and 1.8 million digitized pages are being linked to Wikidata to make them more accessible and connect them to related information on Wikidata.
3) A new Wikidata property was created to link the press archive dossier IDs to relevant Wikidata items and the press archive data was released on Wikidata and via APIs to encourage participation in the Coding da Vinci cultural hackathon.
Making Wikidata fit as a Linking Hub for Knowledge Organization SystemsJoachim Neubert
Wikidata can serve as a linking hub for knowledge organization systems by using its new "mapping relation type" qualifier (P4390) to optionally qualify external property relations with a mapping type like exactMatch, closeMatch, or narrowMatch. This qualifier allows tracking its usage by relation type and external ID properties. The qualifier aims to improve Wikidata's role as a hub for linking different knowledge organization systems.
Joachim Neubert presented methods for linking authorities like economists from the Research Papers in Economics (RePEc) database and the Integrated Authority File (GND) to Wikidata items. This included developing tools to match Wikidata items to external IDs, identify items missing properties, lookup external IDs, and trigger property inserts into Wikidata via QuickStatements. Over 10% of economists were added to Wikidata by synthesizing existing mappings and inserting new items from RePEc.
Wikidata as a linking hub for knowledge organization systems? Integrating an ...Joachim Neubert
Wikidata has been created in order to support all of the roughly 300 Wikipedia projects. Besides interlinking all Wikipedia pages about a specific item – e.g., a person - in different languages, it also connects to more than 1900 different sources of authority information.
We will present lessons learned from using Wikidata as a linking hub for two personal name authorities in economics (GND and RePEc author identifiers) and demonstrate the benefits of moving a mapping from a closed environment to Wikidata as a public and community-curated linking hub. We will further ask to what extent these experiences can be transferred to knowledge organization systems and how the limitation to simple 1:1 relationships (as for authorities) can be overcome. Using STW Thesaurus for Economics as an example, we will investigate how we can make use of existing cross-concordances to "seed" Wik-idata with external identifiers, and how transitive mappings to yet un-mapped vocabularies can be earned.
ELAG 2017 Abstract: Authority files and identifiers are used by libraries to consistently refer to entities such as subjects and authors. This principle of referencing “things, not strings” is also applied successfully in Linked Open Data and knowledge bases.
The open knowledge base Wikidata connects Wikipedia articles in any language and provides background information on article’s subject such images and affiliations. In addition to internal references Wikidata contains identifiers from more than thousand authority files: well known library identifiers such as VIAF and GND, researcher IDs such as ORCID and Google Scholar, and identifiers for many more items such as TED speakers and Find A Grave. Wikidata thus emerges as a giant curated linking hub based on authority identifiers. In contrast to closed authority files that often impose tedious procedures, Wikidata can be enhanced and corrected by anybody, just like Wikipedia.
The management of links between authority files in Wikidata is particularly suitable for automation: mappings extracted from Wikidata can be used in other systems and mapping data is already available in libraries ready to be added to Wikidata. This presentation will illustrate the use of Wikidata as authority linking hub with a case study considering links between author identifiers from RePEc (Research Papers in Economics) and GND. Workflows include both automatic and semi-automatic mapping approaches. We will address both technical solutions and organizational policies ruling the operation of Wikidata bots for automated updates. The tools presented in this talk include “wdmapper” command line application for extracting and complementing mappings from Wikidata with external mapping files and the “Mix’n’Match” to support crowdsourced mapping of authority files to Wikidata.
Online version: https://hackmd.io/s/S1YmXWC0e#
Using Wikidata as an Authority for the SowiDataNet Research Data RepositoryJoachim Neubert
Wikidata provides a comprehensive authority for geographical entities that can be used by the SowiDataNet Research Data Repository. Wikidata contains countries, German states, the European Union, and geographical regions without needing to create a custom authority. A custom query can access just the required geographical data items from Wikidata, gaining identifiers, multilingual labels, links to other identifiers, and abundant information from Wikipedia with minimal cost and effort compared to maintaining a custom authority.
Leveraging SKOS to trace the overhaul of the STW Thesaurus for EconomicsJoachim Neubert
ZBW maintains the STW Thesaurus for Economics. They have overhauled it since 2010 using SKOS, releasing a new version roughly yearly. The latest version 9.0 added 777 new concepts and deprecated 1,052 concepts. To track these complex changes, ZBW developed a dataset versioning and SKOS-history approach. It extracts insertions and deletions between versions and makes them queryable. This provides comprehensive information on concept changes to support users and applications that use the thesaurus.
SWIB14 presentation
Over time, Knowledge Organization Systems such as thesauri and classifications undergo lots of changes, as the knowledge domains evolve. Most SKOS publishers therefore put a version tag on their vocabularies. With the vocabularies interwoven in the open web of data, however, different versions may be the base for references in other datasets. So, updates by "third parties" are required, in indexing data as well as in mappings from or to other vocabularies. Yet answers to simple user questions such as "What's new?" or "What has changed?" are not easily obtainable. Best practices and shared standards for communicating changes precisely and making them (machine-) actionable still have to emerge. STW Thesaurus for Economics currently is subject to a series of major revisions. In a case study we review the amount and the types of changes in this process, and demonstrate how versioning in general and difficult types of changes such as the abandonment of descriptors in particular are handled. Furthermore, a method to get a tight grip on the changes, based on SPARQL queries over named graphs, is presented. And finally, the skos-history activity is introduced, which aims at the development of an ontology/application profile and best practices to describe SKOS versions and changes.
The complete discuss in this topic
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Pulmonary delivery of biologics (insulin, vaccines, mRNA)
Definition and Purpose
Pulmonary Delivery: Involves administering biologics directly to the lungs via inhalation.
Goal: To achieve rapid absorption into the bloodstream, enhance bioavailability, and improve therapeutic outcomes.
Types of Biologics
• Insulin: Used for diabetes management; inhaled insulin can provide a non-invasive alternative to injections.
• Vaccines: Pulmonary delivery of vaccines (e.g., mRNA vaccines) can stimulate local and systemic immune responses.
• mRNA Therapeutics: Inhalable mRNA formulations can be used for gene therapy and vaccination, allowing for direct delivery to lung cells.
Advantages
• Non-Invasive: Reduces the need for needles, improving patient comfort and compliance.
• Rapid Onset: Direct absorption through the alveolar membrane can lead to quicker therapeutic effects.
• Targeted Delivery: Focuses treatment on the lungs, which is beneficial for respiratory diseases.
Future Directions
• Personalized Medicine: Potential for tailored therapies based on individual patient needs and responses.
• Combination Therapies: Exploring the use of pulmonary delivery for combination therapies targeting multiple diseases.
Gene therapy via inhalation
Definition and Purpose
• Gene Therapy: A technique that involves introducing, removing, or altering genetic material within a patient’s cells to treat or prevent disease.
• Inhalation Delivery: Administering gene therapies directly to the lungs through inhalation, targeting respiratory diseases and conditions.
Mechanism of Action
• Aerosolized Vectors: Utilizes viral or non-viral vectors (e.g., liposomes, nanoparticles) to deliver therapeutic genes to lung cells.
• Cell Uptake: Once inhaled, the vectors penetrate the alveolar epithelium and deliver genetic material to target cells.
Advantages
• Localized Treatment: Direct delivery to the lungs can enhance therapeutic effects while minimizing systemic side effects.
• Non-Invasive: Inhalation is less invasive than traditional injection methods, improving patient compliance.
• Rapid Onset: Potential for quicker therapeutic effects due to direct absorption in the pulmonary system.
Personalized inhaler systems with sensors
• Smart Inhalers: Devices with sensors that track usage and technique.
• Real-Time Monitoring: Connect to apps for data on adherence and inhalation patterns.
• Tailored Treatment: Adjusts medication based on individual usage data.
• Patient Engagement: Provides feedback and reminders to empower self-management.
• Improved Outcomes: Enhances adherence and reduces exacerbations in respiratory conditions.
• Future Potential: May integrate with other health data and use AI for predictive insights.
Sustained-Release Nano Formulations
Definition: Nanoscale drug delivery systems that release therapeutic agents over an extended period.
Components: Made from polymers, lipids, or inorganic materials that encapsulate drugs.
Mechanism:
A spectrophotometer is an essential analytical instrument widely used in various scientific disciplines, including chemistry, biology, physics, environmental science, clinical diagnostics, and materials science, for the quantitative analysis of substances based on their interaction with light. At its core, a spectrophotometer measures the amount of light that a chemical substance absorbs by determining the intensity of light as a beam of light passes through the sample solution. The fundamental principle behind the spectrophotometer is the Beer-Lambert law, which relates the absorption of light to the properties of the material through which the light is traveling. According to this law, the absorbance is directly proportional to the concentration of the absorbing species in the material and the path length that the light travels through the sample. By exploiting this principle, a spectrophotometer provides a powerful, non-destructive means of identifying and quantifying substances in both qualitative and quantitative studies.
The construction of a spectrophotometer involves several key components, each playing a vital role in the overall functioning of the instrument. The first critical component is the light source. The choice of the light source depends on the range of wavelengths needed for analysis. For ultraviolet (UV) light, typically a deuterium lamp is used, while tungsten filament lamps are commonly used for the visible light range. In some advanced spectrophotometers, xenon lamps or other broad-spectrum sources may be used to cover a wider range of wavelengths. The light emitted from the source is then directed toward a monochromator, which isolates the desired wavelength of light from the full spectrum emitted by the lamp. Monochromators generally consist of a prism or a diffraction grating, which disperses the light into its component wavelengths. By rotating the monochromator, the instrument can select and pass a narrow band of wavelengths to the sample, ensuring that only light of the desired wavelength reaches the sample compartment.
The sample is typically held in a cuvette, a small transparent container made of quartz, glass, or plastic, depending on the wavelength range of interest. Quartz cuvettes are used for UV measurements since they do not absorb UV light, while plastic or glass cuvettes are sufficient for visible light applications. The path length of the cuvette, usually 1 cm, is a critical parameter because it influences the absorbance readings according to the Beer-Lambert law. Once the monochromatic light passes through the sample, it emerges with reduced intensity due to absorption by the sample. The transmitted light is then collected by a photodetector, which converts the light signal into an electrical signal. This electrical signal is proportional to the intensity of the transmitted light and is processed by the instrument’s electronics to calculate absorbance or transmittance values. These values are then give
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Wikidata as a hub for the linked data cloud
1. Wikidata as a hub for the linked data cloudWikidata as a hub for the linked data cloud
TUTORIAL AT DCMI CONFERENCE, SEOUL, 2019-09-25TUTORIAL AT DCMI CONFERENCE, SEOUL, 2019-09-25
Tom Baker, Joachim Neubert, Andra Waagmeester
Slides (partitially) at https://jneubert.github.io/wd-dcmi2019/#/
2. OverviewOverview
Part 1: Using and querying Wikidata
Part 2: Wikidata as a linking hub
Part 3: Applications based on Wikidata
Part 4: Wikidata usage scenarios
Scenarios
Intro and details
Hands-on: Mix-n-match
Quality control tools and procedures
Wikidata community
4. The idea of linking hubsThe idea of linking hubs
Connect concepts via identifiers/URLs
Existing hubs: , , ...
Image by Jakob Voss
VIAF sameAs.org
5. Different linking propertiesDifferent linking properties
1. (datatype URL)
generic link to URL in the meaning of skos:exactMatch
2. : more than 4000 specialized properties (datatype external identifier)
exact match
Pxxxx
6. Examples for external identifiersExamples for external identifiers
GND / VIAF identifiers
geogaphical entities
proteins
Swedish cultural heritage objects
African plants
baseball players
TED conference speakers
8. Property definitionsProperty definitions
subject item for the property
examples
constraints on values, cardinality, etc.
: creates a clickable link for the ID
start at the property page, e.g., for the ISSN:
formatter URL
https://www.wikidata.org/wiki/Property:P236
11. Beyond sameness - mapping relationsBeyond sameness - mapping relations
Wikidata external ids imply "sameness" of linked concepts
even with geographic names, other mapping relations are required in some
cases.
examples:
close matches, e.g., "Yugoslavia" (1918-1992) (Wikidata) ≅ "Yugoslavia (until
1990)" (STW)
related matches, e.g. a company and its founder
12. Mapping relation type (P4390)Mapping relation type (P4390)
introduced after a community discussion in October 2017
to be used as qualifier for external id entries
fixed value set - SKOS mapping relations (exact, close, broad, narrow, related
match)
14. How does that relate to the Linked Data model?How does that relate to the Linked Data model?
Internal data model and storage (Wikibase) is transformed to RDF for:
RDF dumps
Query Service
15. RDF linking from WikidataRDF linking from Wikidata
: linked data URI
e.g., , (vs. formatter URL
)
linked external RDF resources
plus ~950.000 relations to individual URIs
formatter URI for RDF resource
http://sws.geonames.org/$1/
https://www.geonames.org/$1
List of 130+ relationships to external RDF datasets
26+ million
exact match
16. Links in the RDF dumpsLinks in the RDF dumps
Output has full URLs to external resources, however with Wikidata-specific
properties:
This creates a hurdle for generic Linked Data browsers and tools - not even
is translated to skos:exactMatch
wd:Q123 wdt:P234 "External-ID" ;
wdtn:P234 <http://example.com/reference/External-ID>
exact
match
17. Federated SPARQL queriesFederated SPARQL queries
Example use case: GND authority has information about the
professions/occupations of people which is not known in Wikidata.
So get that information dynamically from a GND SPARQL endpoint.
Here, we are interested in economists, in particular.
18. From Wikidata to a remote endpointFrom Wikidata to a remote endpoint
From a remote endpoint to WikidataFrom a remote endpoint to Wikidata
<== not working currently
query to WDQS
query to GND endpoint
19. Several points for attentionSeveral points for attention
Direction and sequence of statements often matters for performance
To reach out from Wikidata, endpoints have to be ( )
In the other direction, access is normally not restricted
Some federated queries get extremely slow, when large sets of bindings exist before the remote
service is invoked
be sure to exclude variables bound to blank nodes ('unknown value' in Wikidata)
approved full list
20. Further reading on Wikidata/RDFFurther reading on Wikidata/RDF
( )
Critical comments/suggestions:
RDF dump format (documentation)
Waagmeester: Integrating Wikidata and other linked data sources -
Federated SPARQL queries more examples
Malyshev et al.: Semantic Technology Usage in Wikipedia’s
Knowledge Graph
Freire/Isaac: Technical usability of
Wikidatas linked data
21. Application process for a new propertyApplication process for a new property
Double-check, that the property does not already exist
Prepare a property proposal in the according section, e.g., Wikidata:Property
proposal/Authority control
23. Hints for getting it approved smoothlyHints for getting it approved smoothly
Clearly lay out the motivation and planned use for the property
Provide working examples (with the formatter URI you are suggesting)
Be responsive to comments
24. Wikidata as a universal linking hubWikidata as a universal linking hub
easy extensibility with new properties for external identifiers
immense fund of existing items, with the full set of SKOS mapping relations for
more or less exact mappings to these
immediate extensibility with new items
26. Mix-n-match is a widely used tool (by Magnus Manske) to link external databases,
catalogs, etc. to existing Wikidata items (or to create new ones).
35. Item creation "on the go"Item creation "on the go"
With Mix-n-match "New item": rudimentary, no references
Custom list of prepared QuickStatements insert blocks ( from STW
Thesaurus for Economics - please don't mess with it, this is work in progress)
Workflow-wise, use same sequence for M-n-m input and prepared insert blocks
example
36. Recommendations for item creationRecommendations for item creation
Pay attention to (much more relaxed then
Wikipedias)
Explain your plan and ask for feedback in the
to make mass edits ( )
Source every statement ( )
Create input in
Check with a few statements, verify result
Run as batch, document input and batch URL
Wikidata's notability criteria
Wikidata project chat
Apply for a bot account example
hints
QuickStatements text format
37. Matching from WD to the external database entriesMatching from WD to the external database entries
39. Normally requires an endpoint for the external source, where you can search for
the labels, aliases or other data of Wikidata items
Insert statement for external id into Wikidata can be prepared for cut&paste or
even semi-automatic execution in QuickStatements
Some hints and linked code here
41. Prepare dataPrepare data
... as tab-separated table (one line per record) with three columns
1. identitfier
2. name
3. description
Input file for the example used earlier
42. Pay attention toPay attention to
description column: include everything useful for intelectual identification
order: the sequence may help structuring your workflow (e.g., most used entries
first)
43. Load data via web interfaceLoad data via web interface
... at https://tools.wmflabs.org/mix-n-match/import.php
52. Quality control tools and proceduresQuality control tools and procedures
Perception: Anybody can edit anything - so Wikidata is no reliable source of
knowledge
Seen as a threat for information systems based on Wikidata
particularly by some large Wikipedias (e.g., the English one)
Basic policy to address this: Statements should be referenced
53. QA support for editorsQA support for editors
Contraint definition for properties
raise warnings during data input, when, e.g.
a format definition (ISBN, DOI etc.) is violated
a supposedly unique identifier is added to more than one item
generated lists of constraint violations (e.g. )
Constraints can be very helpful, but do not cover complex cases
ZDB ID format
54. More QA support for editorsMore QA support for editors
Additional reports can be created via SPARQL queries
Shape Expressions (ShEx) allow to define complex constraints and conformance
checks
ShEx Primer
How to get started with Shape Expressions in Wikidata?
55. Revision control and patrolingRevision control and patroling
Versioned edits and version control
Manual and tool supported vandalism prevention
Watchlists
Automated flagging of suspect edits (e.g., "new editor deleteing statements")
Technically very easy to revert edits
Semi-protection or protection of oftenly-vandalized items
Patroling
57. Automated tools for vandalism detectionAutomated tools for vandalism detection
Fighting to keep up with rate of human edits in Wikidata (multiple per second)
... requires reducing the manual workload, e.g. via
Objective Revision Evaluation Service ( )
and other rule-based and machine-learning tools
Wikidata Abuse Filter
ORES
59. The Wikidata communityThe Wikidata community
Everybody can participate
No central "committee" or decision structure
Desisions are made via discussion and community consensus
60. Main entry point for all kind of discussions
Resolved discussions archived after 7 days -
Beginner's questions welcome (but please try to find the answer online before,
particularly in the , which has a search link to the help pages)
Compared to Wikipedia, the overall atmosphere is constructive (though
exceptions exist sometimes in some sub-communities)
English is the lingua franca, but a few questions show up in other languages,
and receive comments, too
Project chatProject chat
searchable
FAQ
61. User page and user talk pageUser page and user talk page
Introduce yourself - especially if you work in a professional context with
Wikidata ( )
Activate notifications to your email address
Be responsive to comments on your talk page
You can address other users on their talk page, too
example
62. Talk pages of propertiesTalk pages of properties
Questions on the use of a certain property
Suggestions for changes or enhancements of the property definition ( )
Consider adding properties you are interested in to your watchlist
example
65. Often a great source to find documentation about the community consensus in
certain fields
Many WikiProjects pages contain data structuring recommendations - see, e.g.,
for
Current WikiProjects on Wikidata
periodicals