These slides explain (1) the motivation for using RDFa, for embedding structured data on web pages, (2) RDF as the foundation of RDFa, and (3) RDFa through examples.
Presentation of current research: distributed architecture for recommendation...Benjamin Heitmann
This document discusses Benjamin Heitmann's research interests which include distributed architectures for recommendations on the Web of Data. It provides background on Heitmann and outlines some of his recent work identifying common components of Semantic Web applications. Finally, it contrasts current recommender systems with Heitmann's vision of future distributed recommender architectures that can provide recommendations across multiple linked data sources and domains.
This document discusses enriching affiliation networks in SKOS-based datasets. It proposes a tripartite model representing users annotating resources with tags linked by SKOS broader/narrower properties. This model can be represented as graphs like an actors graph obtained from a dataset with authors, publications and MeSH concepts. Broader semantic relations between tags allow identifying patterns like parent-child and sibling relations. The approach aims to enhance information discovery and help connect users based on emerging relations between topics.
Transitioning web application frameworks towards the Semantic Web (master the...Benjamin Heitmann
This document provides a progress report on a master's thesis about transitioning web application frameworks towards the Semantic Web. It describes a survey of 54 Semantic Web applications, analysis of common application types and their requirements, and an evaluation of current framework approaches. The report is divided into three parts: introduction, contributions so far, and outlook. It discusses application types identified in the survey like semantic portals, annotations, and repositories. It also analyzes the requirements of these types and common components needed to support them.
Enabling Case-Based Reasoning on the Web of Data (How to create a Web of Exp...Benjamin Heitmann
Presentation at the "Reasoning from experiences on the Web" workshop (WebCBR 2010) at the International Conference on Case Based Reasoning 2010.
Abstract:
While Case-based reasoning (CBR) has successfully been deployed on the Web, its data models are typically inconsistent with existing information infrastructure and standards. In this paper, we examine how
CBR can operate on the emerging Web of Data, with mutual benefits. The
expense of knowledge engineering and curating a case base can be reduced
by using Linked Data from the Web of Data. While Linked Data provides experiential data from many different domains, it also contains inconsistencies, missing data and noise which provide challenges for logic-based reasoning. CBR is well suited to provide alternative and robust reasoning approaches. We introduce (i) a lightweight CBR vocabulary which is
suited for the open ecosystem of the emerging Web of Data, and provide
(ii) a detailed example of a case base using data from multiple sources. We
propose that for the first time the Web of Data provides data and a real
context for open CBR systems.
Lessons and requirements from a decade of deployed Semantic Web appsBenjamin Heitmann
The document summarizes lessons learned from analyzing over 100 Semantic Web applications from challenge competitions over the past decade. It finds that while standards like RDF, OWL and SPARQL are widely used, there remain gaps in publishing and updating Linked Data. Most applications require human intervention for data integration due to noisy RDF data. There is also a mismatch between graph-based data models and relational/object-oriented components. The document recommends addressing these issues through more guidelines, libraries, and software frameworks to improve the software engineering process for building Semantic Web applications.
Rethinking Microblogging: Open Distributed SemanticAlexandre Passant
Presentation of SMOB (http://smob.me) at ICWE2010 - http://icwe2010.webengineering.org/ - VIenna, Austria, 8th July 2010
This document describes VoID (Vocabulary of Interlinked Datasets), which is a metadata vocabulary for describing linked datasets and linksets between datasets. VoID allows datasets to provide information about structural metadata, access points, statistics, and interlinking between other datasets. It has been adopted by many datasets in the Linked Open Data cloud.
Implementing Semantic Web applications: reference architecture and challengesBenjamin Heitmann
Best paper award at the workshop for Semantic Web enabled software engineering 2009, at the International Semantic Web Conference 2009.
Full paper at: http://ceur-ws.org/Vol-524/swese2009_2.pdf
Summary of the slides and the paper:
* an empirical analysis of 98 Semantic Web applications based on an architectural analysis and an application functionality questionnaire
* a reference architecture for Semantic Web applications
* the main challenges of implementing Semantic Web technologies and their effect on an example application
* approaches for mitigating the challenges
Turning social disputes into knowledge representations DERI reading group 201...jodischneider
A reading group presentation about Turning social disputes into knowledge representations, based primarily on two papers:
Toni and Torroni. Bottom-up Argumentation. In: First International Workshop on the Theory and Applications of Formal Argumentation 2011 (TAFA), 16-22 July, 2011, Barcelona, Spain. http://www.doc.ic.ac.uk/~ft/PAPERS/tafaPT.pdf
Benn, Buckingham Shum, Domingue, and Mancini. Ontological Foundations for Scholarly Debate Mapping Technology. In: 2nd International Conference on Computational Models of Argument (COMMA '08), 28-30 May, 2008, Toulouse, France. http://oro.open.ac.uk/11939/
An architecture for privacy-enabled user profile portability on the Web of DataBenjamin Heitmann
Presentation at the Heterogeneous Recommendation Workshop at the ACM Recommender Systems Conference 2010.
Providing relevant recommendations requires access to user profile data. Current social networking ecosystems allow third party services to request user authorisation for accessing profile data, thus enabling cross-domain recommendation. However these ecosystems create user lock-in and social networking data silos, as the profile data is neither portable nor interoperable. We argue that innovations in reconciling heterogeneous data sources must be also be matched by innovations in architecture design and recommender methodology. We present and qualitatively evaluate an architecture for privacy-enabled user profile portability, which is based on technologies from the emerging Web of Data (FOAF, WebIDs and the Web Access Control vocabulary). The proposed architecture enables the creation of a universal “private by default” ecosystem with interoperability of user profile data. The privacy of the user is protected by allowing multiple data providers to host their part of the user profile. This provides an incentive for more users to make profile data from different domains available for recommendations.
What your hairstyle says about your political preferences, and why you should...Benjamin Heitmann
Recent developments in the area of social networking have lead to prominent users leaving facebook due to privacy concerns.
In order to really understand what motivated facebook to implement these controversial changes, you have to look at the future of recommender systems. I will introduce my current research in the areas of multi-source, cross-domain and privacy enabled user profiling and recommendation,
and show how it relates to current developments in the social networking space.
The document provides information about the Digital Enterprise Research Institute (DERI) in Galway, Ireland. It discusses DERI's research areas including semantic web, social networks, and data mining. It also outlines DERI's funding sources and partners. The document then shifts to discussing linked open data, including its key components like RDF and vocabularies. Finally, it provides examples of linked open data projects by DERI and others.
The document discusses the problems of information overload and data silos on personal computers. It proposes using semantic web technologies to create a semantic desktop that represents all files, emails, and other resources as linked data. This would allow for centralized storage, data sharing between applications, and easier discovery and filtering of information. The benefits would include time savings for users and increased data interoperability.
Linked data for Enterprise Data IntegrationSören Auer
The Web evolves into a Web of Data. In parallel Intranets of large companies will evolve into Data Intranets based on the Linked Data principles. Linked Data has the potential to complement the SOA paradigm with a light-weight, adaptive data integration approach.
An intelligent expert system for location planning is proposed that uses semantic web technologies and a Bayesian network. The system integrates heterogeneous information through an ontology. It develops an integrated knowledge process to guide the engineering procedure. Based on a Bayesian network technique, the system recommends well-planned attractions to users.
Brief look at data segmenting decisions and use of Semantic Web technologies within Anzo. Presented at the 2011 W3C Linked Enterprise Data Patterns workshop.
Modern learning models require linking experiences in training environments with experiences in the real-world. However, data about real-world experiences is notoriously hard to collect. Social spaces bring new opportunities to tackle this challenge, supplying digital traces where people talk about their real-world experiences. These traces can become valuable resource, especially in ill-defined domains that embed multiple interpretations. The paper presents a unique approach to aggregate content from social spaces into a semantic-enriched data browser to facilitate informal learning in ill-defined domains. This work pioneers a new way to exploit digital traces about real-world experiences as authentic examples in informal learning contexts. An exploratory study is used to determine both strengths and areas needing attention. The results suggest that semantics can be successfully used in social spaces for informal learning – especially when combined with carefully designed nudges.
Geo-annotations in Semantic Digital Libraries mdabrowski
The document discusses using geo-annotations and ontologies in digital libraries. It describes JeromeDL, a social semantic digital library that allows users to collaboratively annotate resources with metadata like geotags. It also describes the MarcOnt initiative which aims to develop tools for a collaborative ontology about bibliographic resources to improve interoperability between digital libraries and enable semantic search.
The document discusses the Web of Data, which is a boundless graph of interconnected data available online. It describes how the Web of Data differs from just having data on the web by having links between related data points. This allows the data to have more structure and meaning. The basic building blocks that make up the Web of Data are Resource Description Framework (RDF) triples that express relationships between subjects and objects. By using HTTP URIs to identify things and RDF to express relationships, the Web of Data aims to make data on the web more connected and meaningful.
The document discusses semantic systems and how they can help solve problems related to integrating different types of systems by facilitating interoperability. It outlines some of the key challenges, such as the lack of tools that are easy for average users while also being powerful enough for experts. The document also discusses different semantic technologies like ontologies, logic programming, and the Semantic Web that could help address these challenges if implemented properly with a focus on integration rather than fragmentation.
This document discusses the history and modern approaches to knowledge management systems on the desktop. It traces ideas back to Vannevar Bush's 1945 proposal of the memex device. More recent systems like Doug Engelbart's NLS in the 1960s and Ted Nelson's Xanadu aimed to improve linking and navigation of information. Modern semantic desktops take a layered, modular approach and use ontologies and semantic technologies to unlock and integrate desktop data. They provide services like storage, extraction, annotation and inference to enhance existing applications and help users manage information overload. Evaluation of these systems remains a challenge due to their personal, customized nature.
The document describes the Digital Enterprise Research Institute (DERI) and its work on enabling networked knowledge. DERI aims to link scientific research with industry through fundamental research, technology development, and education. Its goals include exploiting big data and enabling smart cities through removing data silos and leveraging linked open data. DERI is developing technologies like the Semantic Sensor Network ontology, CoAP protocol, and Continuous Query Evaluation over Linked Streams (CQELS) to process sensor data and queries over linked streams and datasets in real-time.
Eric Kaufman is an assistant professor and extension specialist at Virginia Tech interested in leadership development, community education, and teaching and learning. His background includes a B.S. in agriculture education from Ohio State and a M.S. and Ph.D. in agricultural education and communication from the University of Florida. His recent projects include the Virginia Agriculture Leaders Obtaining Results program and a graduate certificate in collaborative community leadership. He is exploring how problem-solving style and leadership style interact to effectively achieve pollution reduction goals.
This document provides an overview and introduction to RDFa, which allows embedding RDF data into HTML and other XML-based languages like XHTML and SVG. It discusses RDFa Lite syntax including vocab, prefix, property and typeof. It also covers RDFa Core syntax, including about, rel, href, and datatype. The goal of RDFa is to embed RDF data into documents while maintaining document structure and semantics.
Implementing Semantic Web applications: reference architecture and challengesBenjamin Heitmann
Best paper award at the workshop for Semantic Web enabled software engineering 2009, at the International Semantic Web Conference 2009.
Full paper at: http://ceur-ws.org/Vol-524/swese2009_2.pdf
Summary of the slides and the paper:
* an empirical analysis of 98 Semantic Web applications based on an architectural analysis and an application functionality questionnaire
* a reference architecture for Semantic Web applications
* the main challenges of implementing Semantic Web technologies and their effect on an example application
* approaches for mitigating the challenges
Turning social disputes into knowledge representations DERI reading group 201...jodischneider
A reading group presentation about Turning social disputes into knowledge representations, based primarily on two papers:
Toni and Torroni. Bottom-up Argumentation. In: First International Workshop on the Theory and Applications of Formal Argumentation 2011 (TAFA), 16-22 July, 2011, Barcelona, Spain. http://www.doc.ic.ac.uk/~ft/PAPERS/tafaPT.pdf
Benn, Buckingham Shum, Domingue, and Mancini. Ontological Foundations for Scholarly Debate Mapping Technology. In: 2nd International Conference on Computational Models of Argument (COMMA '08), 28-30 May, 2008, Toulouse, France. http://oro.open.ac.uk/11939/
An architecture for privacy-enabled user profile portability on the Web of DataBenjamin Heitmann
Presentation at the Heterogeneous Recommendation Workshop at the ACM Recommender Systems Conference 2010.
Providing relevant recommendations requires access to user profile data. Current social networking ecosystems allow third party services to request user authorisation for accessing profile data, thus enabling cross-domain recommendation. However these ecosystems create user lock-in and social networking data silos, as the profile data is neither portable nor interoperable. We argue that innovations in reconciling heterogeneous data sources must be also be matched by innovations in architecture design and recommender methodology. We present and qualitatively evaluate an architecture for privacy-enabled user profile portability, which is based on technologies from the emerging Web of Data (FOAF, WebIDs and the Web Access Control vocabulary). The proposed architecture enables the creation of a universal “private by default” ecosystem with interoperability of user profile data. The privacy of the user is protected by allowing multiple data providers to host their part of the user profile. This provides an incentive for more users to make profile data from different domains available for recommendations.
What your hairstyle says about your political preferences, and why you should...Benjamin Heitmann
Recent developments in the area of social networking have lead to prominent users leaving facebook due to privacy concerns.
In order to really understand what motivated facebook to implement these controversial changes, you have to look at the future of recommender systems. I will introduce my current research in the areas of multi-source, cross-domain and privacy enabled user profiling and recommendation,
and show how it relates to current developments in the social networking space.
The document provides information about the Digital Enterprise Research Institute (DERI) in Galway, Ireland. It discusses DERI's research areas including semantic web, social networks, and data mining. It also outlines DERI's funding sources and partners. The document then shifts to discussing linked open data, including its key components like RDF and vocabularies. Finally, it provides examples of linked open data projects by DERI and others.
The document discusses the problems of information overload and data silos on personal computers. It proposes using semantic web technologies to create a semantic desktop that represents all files, emails, and other resources as linked data. This would allow for centralized storage, data sharing between applications, and easier discovery and filtering of information. The benefits would include time savings for users and increased data interoperability.
Linked data for Enterprise Data IntegrationSören Auer
The Web evolves into a Web of Data. In parallel Intranets of large companies will evolve into Data Intranets based on the Linked Data principles. Linked Data has the potential to complement the SOA paradigm with a light-weight, adaptive data integration approach.
An intelligent expert system for location planning is proposed that uses semantic web technologies and a Bayesian network. The system integrates heterogeneous information through an ontology. It develops an integrated knowledge process to guide the engineering procedure. Based on a Bayesian network technique, the system recommends well-planned attractions to users.
Brief look at data segmenting decisions and use of Semantic Web technologies within Anzo. Presented at the 2011 W3C Linked Enterprise Data Patterns workshop.
Modern learning models require linking experiences in training environments with experiences in the real-world. However, data about real-world experiences is notoriously hard to collect. Social spaces bring new opportunities to tackle this challenge, supplying digital traces where people talk about their real-world experiences. These traces can become valuable resource, especially in ill-defined domains that embed multiple interpretations. The paper presents a unique approach to aggregate content from social spaces into a semantic-enriched data browser to facilitate informal learning in ill-defined domains. This work pioneers a new way to exploit digital traces about real-world experiences as authentic examples in informal learning contexts. An exploratory study is used to determine both strengths and areas needing attention. The results suggest that semantics can be successfully used in social spaces for informal learning – especially when combined with carefully designed nudges.
Geo-annotations in Semantic Digital Libraries mdabrowski
The document discusses using geo-annotations and ontologies in digital libraries. It describes JeromeDL, a social semantic digital library that allows users to collaboratively annotate resources with metadata like geotags. It also describes the MarcOnt initiative which aims to develop tools for a collaborative ontology about bibliographic resources to improve interoperability between digital libraries and enable semantic search.
The document discusses the Web of Data, which is a boundless graph of interconnected data available online. It describes how the Web of Data differs from just having data on the web by having links between related data points. This allows the data to have more structure and meaning. The basic building blocks that make up the Web of Data are Resource Description Framework (RDF) triples that express relationships between subjects and objects. By using HTTP URIs to identify things and RDF to express relationships, the Web of Data aims to make data on the web more connected and meaningful.
The document discusses semantic systems and how they can help solve problems related to integrating different types of systems by facilitating interoperability. It outlines some of the key challenges, such as the lack of tools that are easy for average users while also being powerful enough for experts. The document also discusses different semantic technologies like ontologies, logic programming, and the Semantic Web that could help address these challenges if implemented properly with a focus on integration rather than fragmentation.
This document discusses the history and modern approaches to knowledge management systems on the desktop. It traces ideas back to Vannevar Bush's 1945 proposal of the memex device. More recent systems like Doug Engelbart's NLS in the 1960s and Ted Nelson's Xanadu aimed to improve linking and navigation of information. Modern semantic desktops take a layered, modular approach and use ontologies and semantic technologies to unlock and integrate desktop data. They provide services like storage, extraction, annotation and inference to enhance existing applications and help users manage information overload. Evaluation of these systems remains a challenge due to their personal, customized nature.
The document describes the Digital Enterprise Research Institute (DERI) and its work on enabling networked knowledge. DERI aims to link scientific research with industry through fundamental research, technology development, and education. Its goals include exploiting big data and enabling smart cities through removing data silos and leveraging linked open data. DERI is developing technologies like the Semantic Sensor Network ontology, CoAP protocol, and Continuous Query Evaluation over Linked Streams (CQELS) to process sensor data and queries over linked streams and datasets in real-time.
Eric Kaufman is an assistant professor and extension specialist at Virginia Tech interested in leadership development, community education, and teaching and learning. His background includes a B.S. in agriculture education from Ohio State and a M.S. and Ph.D. in agricultural education and communication from the University of Florida. His recent projects include the Virginia Agriculture Leaders Obtaining Results program and a graduate certificate in collaborative community leadership. He is exploring how problem-solving style and leadership style interact to effectively achieve pollution reduction goals.
This document provides an overview and introduction to RDFa, which allows embedding RDF data into HTML and other XML-based languages like XHTML and SVG. It discusses RDFa Lite syntax including vocab, prefix, property and typeof. It also covers RDFa Core syntax, including about, rel, href, and datatype. The goal of RDFa is to embed RDF data into documents while maintaining document structure and semantics.
Rachelle Andrews is a senior lecturer at the University of Hertfordshire with 25 years of experience working with small and medium enterprises. Her research interests focus on strategic management, business strategy, qualitative research methods, and applying complexity theory to understand the management of small firms. She has published papers on topics such as the changing role of business advisers, transformational conversations in business advice, and conceptualizing small firms as complex adaptive systems. She provides consultancy and business advice to SMEs and collaborates on applied research and developing training solutions to support organizational growth.
The Centre for Education Research (CER) is a partnership between researchers from the University of Prince Edward Island's Faculty of Education, graduate students from UPEI, and affiliate partners from other educational institutions. The CER focuses on literacy and learning leadership, arts-based education, and education for inclusion and social justice. Several professors and assistant professors from UPEI's Faculty of Education are listed with their research interests and current projects related to education.
The document discusses Simple Knowledge Organization System (SKOS), machine-readable data in HTML documents using RDFa, Microformats, and Microdata, and how search engines can process this machine-readable data. It also briefly mentions the Facebook Graph API and Open Graph Protocol.
This presentation is an introduction to RDFa, as the fourth assignment of the IST 681 in iSchool, Syracuse University. The presentation is made by Kai Li, who is a library student in Syracuse University..
This document discusses k-means clustering and different initialization methods. K-means clustering partitions objects into k clusters based on their attributes, with objects in the same cluster being similar and objects in different clusters being dissimilar. The initialization method affects the clustering result and number of iterations, with better initialization methods leading to fewer iterations. The document compares random, Forgy, MacQueen, and Kaufman initialization methods.
Given at PyDataSV 2014
In machine learning, clustering is a good way to explore your data and pull out patterns and relationships. Scikit-learn has some great clustering functionality, including the k-means clustering algorithm, which is among the easiest to understand. Let's take an in-depth look at k-means clustering and how to use it. This mini-tutorial/talk will cover what sort of problems k-means clustering is good at solving, how the algorithm works, how to choose k, how to tune the algorithm's parameters, and how to implement it on a set of data.
The document discusses clustering and k-means clustering algorithms. It provides examples of scenarios where clustering can be used, such as placing cell phone towers or opening new offices. It then defines clustering as organizing data into groups where objects within each group are similar to each other and dissimilar to objects in other groups. The document proceeds to explain k-means clustering, including the process of initializing cluster centers, assigning data points to the closest center, recomputing the centers, and iterating until centers converge. It provides a use case of using k-means to determine locations for new schools.
K-means clustering is an algorithm that groups data points into k number of clusters based on their similarity. It works by randomly selecting k data points as initial cluster centroids and then assigning each remaining point to the closest centroid. It then recalculates the centroids and reassigns points in an iterative process until centroids stabilize. While efficient, k-means clustering has weaknesses in that it requires specifying k, can get stuck in local optima, and is not suitable for non-convex shaped clusters or noisy data.
1. The document discusses the history and future of semantic web technologies, including lessons learned and trends. It notes that semantic web's strength is in data aggregation rather than data management.
2. Two scenarios involving expressing claims in RDFa and linking from a homepage are presented, showing how trust can come from linked information.
3. Recent and emerging trends in user interfaces, search engines, and services are moving towards a more machine-readable web where pages make claims and datasets are interconnected.
Hello Open World - The Web of Data for the Pragmatic DeveloperAlexandre Passant
This document provides an outline and content for a tutorial on the Web of Data. It introduces the motivation for the Web of Data by discussing how more structured data is available on the web but was previously only accessible through proprietary APIs. It then defines the Web of Data according to linked data principles and discusses URIs, HTTP, RDF, and basic ontologies as the core technologies that make up the Web of Data. The tutorial aims to teach participants how to find and create structured data, discover and query data, and build applications using Web of Data technologies and standards.
How to Build Linked Data Sites with Drupal 7 and RDFascorlosquet
Slides of the tutorial Stéphane Corlosquet, Lin Clark and Alexandre Passant presented at SemTech 2010 in San Francisco http://semtech2010.semanticuniverse.com/sessionPop.cfm?confid=42& proposalid=2889
Semantic Web research anno 2006:main streams, popular falacies, current statu...Frank van Harmelen
This keynote at the Cooperative Intelligent Agents Workshop was a good opportunity to give my view on the current state of Semantic Web research: what is it about, what is it not about, what has been achieved, what remains to be done. (Includes the now infamous slide "What's it like to be a machine")
SemSearch09 workshop at WWW2009, April 21th 2009- http://km.aifb.uni-karlsruhe.de/ws/semsearch09/ - Paper available at: http://km.aifb.uni-karlsruhe.de/ws/semsearch09/semse2009_25.pdf
Using Semantics to Improve Corporate Online CommunitiesAlexandre Passant
This document summarizes a presentation about using semantics to improve corporate online communities. It discusses:
1) Enterprise 2.0 tools like blogs, wikis and tags that have been introduced in companies, but have issues with information fragmentation, knowledge modeling and tagging.
2) The SemSLATES approach which uses semantic web technologies through a middleware architecture to address these issues. It generates socio-structural metadata, supports collaborative ontology population and semantic tagging.
3) How semantics can improve searching, knowledge reuse and linking of information across different Enterprise 2.0 applications through structured annotations and ontologies defined by online communities.
This document summarizes a talk on common errors found in Linked Data. It discusses several types of errors discovered through analyzing over 150,000 RDF documents, including HTTP-level issues like URIs that don't return RDF descriptions, inaccurate content-type reporting, and duplicate content served at different URIs. It also describes reasoning issues such as undefined classes and properties, non-unique values for inverse-functional properties, malformed datatypes, and instances of disjoint classes. The document provides solutions like application workarounds, publishing validators, and the Pedantic Web Group for improving Linked Data quality.
Nicolas Delaforge: Modeling the Web resource, extracting the context: stakes ...PhiloWeb
This document discusses challenges with current bookmarking systems and proposes an enhanced bookmark called "Webmark" to address them. It notes that the web has evolved rapidly in a technology-driven way without clear definitions, making it difficult to design tools to help users orient themselves. It also observes that web references are unreliable due to dynamic content, URLs becoming obsolete, and the page-based model being insufficient. The document then hypothesizes that modeling web objects and reference types from a user perspective could help with orientation solutions, and proposes defining web pages as information mediums that interact rather than documents or memory extensions. It outlines different types of intentions in marking web resources and envisions Webmark providing dedicated services based on the marking kind.
Leveraging existing Web Frameworks for a SIOC explorer (Scripting for the Sem...Benjamin Heitmann
The SIOC data format enables mash-ups of community focused content. This presentation introduces the SIOC format, and the SIOC explorer web application, which allows you to browse and navigate such data. The slides also show how the SIOC explorer is implemented with ActiveRDF and Ruby on Rails
Federating Distributed Social Data to Build an Interlinked Online Information...Alexandre Passant
This document discusses social semantic information spaces (SSIS) which combine semantic web technologies with social web platforms to allow online communities to collectively build and share data. It describes requirements for SSIS including semantics for modeling community structures and interactions. SSIS can improve search, integration and reuse of user-generated content within enterprise environments. The document outlines various implementations of SSIS including semantic wikis, tagging and interlinking spaces. Developing common vocabularies and interlinking SSIS across different domains can help create a more interlinked online information society.
A distributional structured semantic space for querying rdf graph dataAndre Freitas
The vision of creating a Linked Data Web brings together the challenge of allowing queries across highly heterogeneous and distributed datasets. In order to query Linked Data on the Web today, end users need to be aware of which datasets potentially contain the data and also which data model describes these datasets. The process of allowing users to expressively query relationships in RDF while abstracting them from the underlying data model represents a fundamental problem for Web-scale Linked Data consumption. This article introduces a distributional structured semantic space which enables data model independent natural language queries over RDF data. The center of the approach relies on the use of a distributional semantic model to address the level of semantic interpretation demanded to build the data model independent approach. The article analyzes the geometric aspects of the proposed space, providing its description as a distributional structured vector space, which is built upon the Generalized Vector Space Model (GVSM). The final semantic space proved to be flexible and precise under real-world query conditions achieving mean reciprocal rank = 0.516, avg. precision = 0.482 and avg. recall = 0.491.
This document discusses making semantic technologies more accessible to non-experts by combining data semantics, mathematical theories of declarative knowledge, and application semantics expressed in English. It proposes a browser-based system for writing and running applications using business rules in open vocabulary English. Examples demonstrate resolving semantic differences between retailer and manufacturer ontology data and answering questions about oil industry SQL data, both through English explanations. The goal is to bridge the gap between people and machines through natural language.
How google is using linked data today and vision for tomorrowVasu Jain
In this presentation, I will discuss how modern search engines, such as Google, make use of Linked Data spread inWeb pages for displaying Rich Snippets. Also i will present an example of the technology and analyze its current uptake.
Then i sketched some ideas on how Rich Snippets could be extended in the future, in particular for multimedia documents.
Original Paper :
http://scholar.google.com/citations?view_op=view_citation&hl=en&user=K3TsGbgAAAAJ&authuser=1&citation_for_view=K3TsGbgAAAAJ:u-x6o8ySG0sC
Another Presentation by Author: https://docs.google.com/present/view?id=dgdcn6h3_185g8w2bdgv&pli=1
This document discusses the Social Semantic Web and Linked Data. It describes issues with current social web platforms like data silos and social network fatigue. It introduces FOAF for describing people and relationships and SIOC for describing social media contributions. Together, FOAF and SIOC allow interlinking social web data across platforms through common semantics. This allows portability of user data and unified queries across platforms. Linked data principles and exporting data in RDF/FOAF from platforms helps to unify user identities and network across platforms addressing current issues.
Challenges Ahead for Converging Financial DataEdward Curry
Consumers of financial information come in many guises from personal investors looking for that value for money share, to government regulators investigating corporate fraud, to business executives seeking competitive advantage over their competition. While the particular analysis performed by each of these information consumers will vary, they all have to deal with the explosion of information available from multiple sources including, SEC filings, corporate press releases, market press coverage, and expert commentary. Recent economic events have begun to bring sharp focus on the activities and actions of financial markets, institutions and not least regulatory authorities. Calls for enhanced scrutiny will bring increased regulation and information transparency While extracting information from individual filings is relatively easy to perform when a machine readable format is utilized (for example, using XBRL, the eXtensible Business Reporting Language), cross comparison of extracted financial information can be problematic as descriptions and accounting terms vary across companies and jurisdictions. Across multiple sources the problem becomes the classical data integration problem where a common data abstraction is necessary before functional data use can begin. Within this paper we discuss the challenges in converging financial data from multiple sources. We concentrate on integrating data from multiple sources in terms of the abstraction, linking, and consolidation activities needed to consolidate data before more sophisticated analysis algorithms can examine the data for the objectives of particular information consumers (for e.g. competitive analysis, regulatory compliance, or investor analysis). We base our discussion on several years researching and deploying data integration systems in both the web and enterprise environments.
E. Curry, A. Harth, and S. O’Riain, “Challenges Ahead for Converging Financial Data,” in Proceedings of the XBRL/W3C Workshop on Improving Access to Financial Data on the Web, 2009.
This document discusses a lecture on social media and Web 2.0 given by Alexandre Passant at the Digital Enterprise Research Institute. The lecture covers topics like blogs, wikis, media sharing, social networking and how they relate to concepts like social media, Web 2.0, and harnessing collective intelligence. It also provides examples of popular social media platforms and how users can discover and create their own blogs.
Detailed how-to guide covering the fusion of ODBC and Linked Data, courtesy of Virtuoso.
This presentation includes live links to actual ODBC and Linked Data exploitation demos via an HTML5 based XMLA-ODBC Client. It covers:
1. SPARQL queries to various Linked (Open) Data Sources via ODBC
2. ODBC access to SQL Views generated from federated SPARQL queries
3. Local and Network oriented Hyperlinks
4. Structured Data Representation and Formats.
Roberto García presented on exploring linked data. He discussed how semantic data is fine for computers but difficult for people to interact with. He proposed automatically generating user interfaces from ontologies and datasets, including overview menus, faceted browsing, and interaction patterns to allow users to build queries without knowledge of SPARQL or dataset structure. He demonstrated examples of his approach applied to DBPedia and LinkedMDB data.
Presentation given during a tour of Australia, in May 2009. The targeted audience are people who are already familiar with the fundamentals of Semantic Web, and this presentation gives an overview of what is happening at W3C
A new direction for recommender systems: balancing privacy and personalisationBenjamin Heitmann
In this talk, Benjamin Heitmann will introduce a new direction for future recommender systems: the idea of balancing privacy and personalisation when designing a personalisation approach.
First, recent events which form the motivation for this new direction are introduced,
then the basics of current personalisation approaches and how they approach data collection are presented. After that, several different aspects of balancing privacy and personalisation are discussed, which will show that this is a wide open topic for research and innovation.
Benjamin Heitmann, PhD defence talk: An Open Framework for Multi-source, Cro...Benjamin Heitmann
The work in this thesis addresses the new challenges and opportunities for online personalisation posed by the emergence of new infrastructures for sharing user preferences and for access to open repositories of data. As a result of these new infrastructures, user profiles can now include data from multiple sources about preferences in multiple domains. This new kind of user profile data requires a cross-domain personalisation approach. However, current cross-domain personalisation approaches are restricted to proprietary social networking ecosystems.
The main problem that we address in this thesis, is to enable cross-domain recommendations without the use of proprietary and closed infrastructure. Towards this goal, we propose an open framework for cross-domain personalisation. Our framework consists of two parts: a conceptual architecture for recommender systems, and our cross-domain personalisation approach. The main enabling technology for our framework is Linked Open Data, as it provides a common data presentation for user preferences and cross-domain links between concepts from many different domains.
As part of our framework, we first propose a conceptual architecture for Linked Open Data recommender systems that provides guidelines and best practices for the typical high level components required for providing personalisation in open ecosystems using Linked Open Data. The architecture has a strong empirical founding, as it based on an empirical survey of 124 RDF-based applications.
Then we introduce and throughly evaluate SemStim, an unsupervised, graph-based algorithm for cross-domain personalisation. It leverages multi-source, domain-neutral user profiles and the semantic network of DBpedia in order to generate recommendations for different source and target domains. The results of our evaluation show that SemStim is able to provide cross-domain recommendations, without any overlap between target and source domains and without using any ratings in the target domain.
We show how we instantiate our proposed conceptual architecture for a prototype implementation that is the outcome of the ADVANSSE collaboration project with CISCO Galway. The prototype shows how to implement our framework for a real-world use case and data.
Our open framework for cross-domain personalisation provides an alternative to existing proprietary cross-domain personalisation approaches. As such, it opens up the potential for novel and innovative personalised services without the risk of user lock-in and data silos.
Representing discourse and argumentation as an application of Web ScienceBenjamin Heitmann
Discourse on the Web currently can not be appropriately representation, which hampers searching and querying. Based on insights from Web Science, DERI Galway has developed three different approaches for representing and mining of discourse.
Most areas of today's society are dependent on the web in some way.
This raises the issue of the web as an object of scientific study on its own.
The presentation will introduce the emerging scientific discipline of Web Science,
as a way to study the web as a whole, on a systems level and in an inter-disciplinary way.
The presentation will cover the motivation for Web Science,
discuss the different goals and definitions of Web Science,
and present some current contributions of Web Science.
Applying the scientific method in Software EvaluationBenjamin Heitmann
Is Computer Science a real Science? If yes, then how does the scientific method apply to computer science. What are the benefits of doing experiments as a computer scientist?
And how can we apply the scientific method to the evaluation of design and implementation of software?
A measles outbreak originating in West Texas has been linked to confirmed cases in New Mexico, with additional cases reported in Oklahoma and Kansas. The current case count is 817 from Texas, New Mexico, Oklahoma, and Kansas. 97 individuals have required hospitalization, and 3 deaths, 2 children in Texas and one adult in New Mexico. These fatalities mark the first measles-related deaths in the United States since 2015 and the first pediatric measles death since 2003.
The YSPH Virtual Medical Operations Center Briefs (VMOC) were created as a service-learning project by faculty and graduate students at the Yale School of Public Health in response to the 2010 Haiti Earthquake. Each year, the VMOC Briefs are produced by students enrolled in Environmental Health Science Course 581 - Public Health Emergencies: Disaster Planning and Response. These briefs compile diverse information sources – including status reports, maps, news articles, and web content– into a single, easily digestible document that can be widely shared and used interactively. Key features of this report include:
- Comprehensive Overview: Provides situation updates, maps, relevant news, and web resources.
- Accessibility: Designed for easy reading, wide distribution, and interactive use.
- Collaboration: The “unlocked" format enables other responders to share, copy, and adapt seamlessly. The students learn by doing, quickly discovering how and where to find critical information and presenting it in an easily understood manner.
CURRENT CASE COUNT: 817 (As of 05/3/2025)
• Texas: 688 (+20)(62% of these cases are in Gaines County).
• New Mexico: 67 (+1 )(92.4% of the cases are from Eddy County)
• Oklahoma: 16 (+1)
• Kansas: 46 (32% of the cases are from Gray County)
HOSPITALIZATIONS: 97 (+2)
• Texas: 89 (+2) - This is 13.02% of all TX cases.
• New Mexico: 7 - This is 10.6% of all NM cases.
• Kansas: 1 - This is 2.7% of all KS cases.
DEATHS: 3
• Texas: 2 – This is 0.31% of all cases
• New Mexico: 1 – This is 1.54% of all cases
US NATIONAL CASE COUNT: 967 (Confirmed and suspected):
INTERNATIONAL SPREAD (As of 4/2/2025)
• Mexico – 865 (+58)
‒Chihuahua, Mexico: 844 (+58) cases, 3 hospitalizations, 1 fatality
• Canada: 1531 (+270) (This reflects Ontario's Outbreak, which began 11/24)
‒Ontario, Canada – 1243 (+223) cases, 84 hospitalizations.
• Europe: 6,814
How to Manage Opening & Closing Controls in Odoo 17 POSCeline George
In Odoo 17 Point of Sale, the opening and closing controls are key for cash management. At the start of a shift, cashiers log in and enter the starting cash amount, marking the beginning of financial tracking. Throughout the shift, every transaction is recorded, creating an audit trail.
How to Manage Purchase Alternatives in Odoo 18Celine George
Managing purchase alternatives is crucial for ensuring a smooth and cost-effective procurement process. Odoo 18 provides robust tools to handle alternative vendors and products, enabling businesses to maintain flexibility and mitigate supply chain disruptions.
The *nervous system of insects* is a complex network of nerve cells (neurons) and supporting cells that process and transmit information. Here's an overview:
Structure
1. *Brain*: The insect brain is a complex structure that processes sensory information, controls behavior, and integrates information.
2. *Ventral nerve cord*: A chain of ganglia (nerve clusters) that runs along the insect's body, controlling movement and sensory processing.
3. *Peripheral nervous system*: Nerves that connect the central nervous system to sensory organs and muscles.
Functions
1. *Sensory processing*: Insects can detect and respond to various stimuli, such as light, sound, touch, taste, and smell.
2. *Motor control*: The nervous system controls movement, including walking, flying, and feeding.
3. *Behavioral responThe *nervous system of insects* is a complex network of nerve cells (neurons) and supporting cells that process and transmit information. Here's an overview:
Structure
1. *Brain*: The insect brain is a complex structure that processes sensory information, controls behavior, and integrates information.
2. *Ventral nerve cord*: A chain of ganglia (nerve clusters) that runs along the insect's body, controlling movement and sensory processing.
3. *Peripheral nervous system*: Nerves that connect the central nervous system to sensory organs and muscles.
Functions
1. *Sensory processing*: Insects can detect and respond to various stimuli, such as light, sound, touch, taste, and smell.
2. *Motor control*: The nervous system controls movement, including walking, flying, and feeding.
3. *Behavioral responses*: Insects can exhibit complex behaviors, such as mating, foraging, and social interactions.
Characteristics
1. *Decentralized*: Insect nervous systems have some autonomy in different body parts.
2. *Specialized*: Different parts of the nervous system are specialized for specific functions.
3. *Efficient*: Insect nervous systems are highly efficient, allowing for rapid processing and response to stimuli.
The insect nervous system is a remarkable example of evolutionary adaptation, enabling insects to thrive in diverse environments.
The insect nervous system is a remarkable example of evolutionary adaptation, enabling insects to thrive
"Basics of Heterocyclic Compounds and Their Naming Rules"rupalinirmalbpharm
This video is about heterocyclic compounds, which are chemical compounds with rings that include atoms like nitrogen, oxygen, or sulfur along with carbon. It covers:
Introduction – What heterocyclic compounds are.
Prefix for heteroatom – How to name the different non-carbon atoms in the ring.
Suffix for heterocyclic compounds – How to finish the name depending on the ring size and type.
Nomenclature rules – Simple rules for naming these compounds the right way.
Common rings – Examples of popular heterocyclic compounds used in real life.
What makes space feel generous, and how architecture address this generosity in terms of atmosphere, metrics, and the implications of its scale? This edition of #Untagged explores these and other questions in its presentation of the 2024 edition of the Master in Collective Housing. The Master of Architecture in Collective Housing, MCH, is a postgraduate full-time international professional program of advanced architecture design in collective housing presented by Universidad Politécnica of Madrid (UPM) and Swiss Federal Institute of Technology (ETH).
Yearbook MCH 2024. Master in Advanced Studies in Collective Housing UPM - ETH
World war-1(Causes & impacts at a glance) PPT by Simanchala Sarab(BABed,sem-4...larencebapu132
This is short and accurate description of World war-1 (1914-18)
It can give you the perfect factual conceptual clarity on the great war
Regards Simanchala Sarab
Student of BABed(ITEP, Secondary stage)in History at Guru Nanak Dev University Amritsar Punjab 🙏🙏
How to Customize Your Financial Reports & Tax Reports With Odoo 17 AccountingCeline George
The Accounting module in Odoo 17 is a complete tool designed to manage all financial aspects of a business. Odoo offers a comprehensive set of tools for generating financial and tax reports, which are crucial for managing a company's finances and ensuring compliance with tax regulations.
APM event hosted by the Midlands Network on 30 April 2025.
Speaker: Sacha Hind, Senior Programme Manager, Network Rail
With fierce competition in today’s job market, candidates need a lot more than a good CV and interview skills to stand out from the crowd.
Based on her own experience of progressing to a senior project role and leading a team of 35 project professionals, Sacha shared not just how to land that dream role, but how to be successful in it and most importantly, how to enjoy it!
Sacha included her top tips for aspiring leaders – the things you really need to know but people rarely tell you!
We also celebrated our Midlands Regional Network Awards 2025, and presenting the award for Midlands Student of the Year 2025.
This session provided the opportunity for personal reflection on areas attendees are currently focussing on in order to be successful versus what really makes a difference.
Sacha answered some common questions about what it takes to thrive at a senior level in a fast-paced project environment: Do I need a degree? How do I balance work with family and life outside of work? How do I get leadership experience before I become a line manager?
The session was full of practical takeaways and the audience also had the opportunity to get their questions answered on the evening with a live Q&A session.
Attendees hopefully came away feeling more confident, motivated and empowered to progress their careers
CBSE - Grade 8 - Science - Chemistry - Metals and Non Metals - WorksheetSritoma Majumder
Introduction
All the materials around us are made up of elements. These elements can be broadly divided into two major groups:
Metals
Non-Metals
Each group has its own unique physical and chemical properties. Let's understand them one by one.
Physical Properties
1. Appearance
Metals: Shiny (lustrous). Example: gold, silver, copper.
Non-metals: Dull appearance (except iodine, which is shiny).
2. Hardness
Metals: Generally hard. Example: iron.
Non-metals: Usually soft (except diamond, a form of carbon, which is very hard).
3. State
Metals: Mostly solids at room temperature (except mercury, which is a liquid).
Non-metals: Can be solids, liquids, or gases. Example: oxygen (gas), bromine (liquid), sulphur (solid).
4. Malleability
Metals: Can be hammered into thin sheets (malleable).
Non-metals: Not malleable. They break when hammered (brittle).
5. Ductility
Metals: Can be drawn into wires (ductile).
Non-metals: Not ductile.
6. Conductivity
Metals: Good conductors of heat and electricity.
Non-metals: Poor conductors (except graphite, which is a good conductor).
7. Sonorous Nature
Metals: Produce a ringing sound when struck.
Non-metals: Do not produce sound.
Chemical Properties
1. Reaction with Oxygen
Metals react with oxygen to form metal oxides.
These metal oxides are usually basic.
Non-metals react with oxygen to form non-metallic oxides.
These oxides are usually acidic.
2. Reaction with Water
Metals:
Some react vigorously (e.g., sodium).
Some react slowly (e.g., iron).
Some do not react at all (e.g., gold, silver).
Non-metals: Generally do not react with water.
3. Reaction with Acids
Metals react with acids to produce salt and hydrogen gas.
Non-metals: Do not react with acids.
4. Reaction with Bases
Some non-metals react with bases to form salts, but this is rare.
Metals generally do not react with bases directly (except amphoteric metals like aluminum and zinc).
Displacement Reaction
More reactive metals can displace less reactive metals from their salt solutions.
Uses of Metals
Iron: Making machines, tools, and buildings.
Aluminum: Used in aircraft, utensils.
Copper: Electrical wires.
Gold and Silver: Jewelry.
Zinc: Coating iron to prevent rusting (galvanization).
Uses of Non-Metals
Oxygen: Breathing.
Nitrogen: Fertilizers.
Chlorine: Water purification.
Carbon: Fuel (coal), steel-making (coke).
Iodine: Medicines.
Alloys
An alloy is a mixture of metals or a metal with a non-metal.
Alloys have improved properties like strength, resistance to rusting.