This document discusses knowledge wikis and Semantic MediaWiki (SMW). SMW adds structured data and semantic web capabilities to MediaWiki wikis. It allows defining classes, properties, and relationships to build a knowledge graph. Properties can link to external vocabularies and identifiers. SMW supports querying the graph through its internal query language or by exporting data to a SPARQL endpoint. Use cases mentioned include history, knowledge management, and research wikis. The presenter is an expert in knowledge management and SMW who consults on its implementation and best practices.
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.
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.
This document discusses semantic wikis and their advantages over traditional wikis. Semantic wikis add structured metadata to wiki pages, allowing knowledge to be made explicit and formal. This facilitates consensus over data, combines low-expressivity data authorship with traditional wiki features, and makes content more interoperable between systems. Semantic MediaWiki is highlighted as a popular open-source semantic wiki platform that extends MediaWiki with typed links and properties to add semantic structure.
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/#/
The document discusses semantic wikis and applications of the social semantic web. It provides an overview of semantic wikis including their key characteristics like typed content and links. The document focuses on Semantic MediaWiki (SMW) as an example semantic wiki, outlining its history, markup syntax, special properties, querying capabilities, and extensions. SMW allows defining classes through categories and properties, and querying wiki data through SPARQL-like queries.
This document discusses how to use Semantic MediaWiki (SMW) to publish open linked data. SMW can annotate data with metadata and export it using semantic web standards. The document provides examples of how to link SMW data to external identifiers like Wikidata, use external vocabularies via import declarations, and reconcile SMW data with Wikidata to enable data sharing across platforms. Future developments may improve integration with Wikidata through properties mapping and data pushing capabilities.
Linking Knowledge Organization Systems via Wikidata (DCMI conference 2018)Joachim Neubert
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Presentation about Semantic MediaWiki and Semantic Forms given by Sergey Chernyshev and Yaron Koren at "Semantic Wikis" (March 2008 NY SemWeb Meetup) on March 13, 2008
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with metadata. Adding semantic information to the keywords allows
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Wikipedia as source of collaboratively created Knowledge Organization SystemsJakob .
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“The Semantic Web is a vision: the idea of having data on the Web defined and linked in a way that it can be used by machines not just for display purposes, but for automation, integration and reuse of data across various applications”
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This document provides an introduction to the APIs of various Wikimedia projects including Wikipedia, Wikidata, Wikimedia Commons, and Wikiquote. It describes how each API can be used to access data from its respective project. The APIs allow users to retrieve page content, structured data, and metadata. Examples are given demonstrating how to access items, properties, and content via APIs and query interfaces for each project. Contact information is provided for questions about using the Wikimedia APIs.
This document provides a history of Semantic MediaWiki (SMW) and Wikidata, including:
- SMW was created in 2006 as a MediaWiki extension to add structured data to wiki pages. It is now used on over 1500 sites.
- Wikidata launched in 2012 as a structured database to provide common facts across Wikimedia projects.
- SMW allows adding both unstructured text and structured data to wiki pages through features like online forms, queries, and semantic web standards.
- An example FINA wiki uses several SMW extensions to integrate structured data from Wikidata into person pages and visualizations.
- Opportunities are discussed to further link SMW and Wikidata data through mappings, reconciliation
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The document discusses semantic wikis and applications of the social semantic web. It provides an overview of semantic wikis including their key characteristics like typed content and links. The document focuses on Semantic MediaWiki (SMW) as an example semantic wiki, outlining its history, markup syntax, special properties, querying capabilities, and extensions. SMW allows defining classes through categories and properties, and querying wiki data through SPARQL-like queries.
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This document discusses using wikis and semantic wikis for knowledge management. It begins with an introduction to the Centre for Public Administration Research and Open Knowledge Austrian Chapter. The agenda then outlines discussing IT and knowledge management, wikis, semantic wikis, and providing an example and conclusion. It describes wikis as being socially driven software that allows for collaborative knowledge creation. Semantic wikis add structured data capabilities to traditional wikis through attributes, forms, templates and filters. An example semantic wiki project is provided, the Vienna History Wiki, which allows structured querying of data. The document argues that semantic wikis can function as a knowledge management system by bringing together unstructured text, structured data, semantic web standards and various use cases.
Semantic Web - Lecture 09 - Web Information Systems (4011474FNR)Beat Signer
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2. 2
Introduction
Managing partner at KM-A Knowledge
Management Associates
Active member of the Semantic
MediaWiki community ~ 15 years
Knowledge Graph/Wiki researcher at WU
Vienna (Prof. Polleres)
Knowledge Management lecturer at
university of applied sciences
2
• KM consulting
• KM training
• KM research
• open-source SMW stack
• professional hosting
5. The power of Knowledge Graphs
A knowledge graph represents knowledge in form of tripes:
subject – predicate – object (format: RDF)
This forms a network of nodes and edges
page 5
Hedy Lamarr actor
is an
born in
Vienna
Austria
located in
artist
subclass of
Query for Austrian artists
can retrieve
Hedy Lamarr
even when this is not tagged
on her page!
6. Knowledge Graph vs. Knowledge Base
Term was made popular by Google
„Introducing the Knowledge Graph: things, not strings”
Trivial definition: Ontology + Instances
https://blog.google/products/search/introducing-knowledge-graph-things-not/
actress woman
person
???
is a
subclass of
has birthdate
has birthdate
Hedy Lamarr
Romy Schneider
Christiane Hörbiger
Paula Wessely
https://en.wikipedia.org/wiki/Category:Actresses_
7. A scientific definition (Paulheim 2016)
A knowledge graph
• mainly describes real world
entities and their interrelations,
organized in a graph,
• defines possible classes and
relations of entities in a schema,
• allows for potentially interrelating
arbitrary entities,
• covers various topical domains.
in MediaWiki
• real world entities = wiki pages
• classes = categories and
relations of entities =
properties,
• interrelating entities = linking
• wiki topic
8. Structures in MediaWiki
Formatted text (Headings, numerations, paragraphs, quotes)
Templates
Pages and subpages
Namespaces
Categories and subcategories
Category „inflation“
Manually curated lists
No querying of data inside MediaWiki
9. 9
Knowledge Graphs and Wikipedia
vs. custom Knowledge Graphs
• extract structured information from Wikipedia and make
this information available on the Web
free knowledge base that can be read and edited by
humans and machines alike… central storage for the data
that may be accessed by the client Wikipedias
turns MediaWiki into a powerful and flexible knowledge
management system
lets you store and query data within the wiki's pages
a set of extensions for MediaWiki
12. Knowledge Graph?
Storage of data MW database,
ElasticSearch,
TripleStores (incl.
Blazegraph)
MW database,
Blazegraph
MW database MW database
Properties flexible defined before
usage, unchangeable
no properties, but
table fields
defined through
JSON-schema
Queries parser function, API,
TripleStore (SPARQL)
API,
TripeStore (SPARQL)
parser function, API parser function, API
Linking Data RDF, importing
ontologies
RDF, reusing Wikidata
ontology
- -
Knowledge Graph
would need RDF or
JSON-LD
would need RDF or
JSON-LD
13. 13
Semantic MediaWiki or Wikibase?
https://www.mediawiki.org/wiki/Manual:Managing_data_in_MediaWiki
Semantic MediaWiki Wikibase
flexible data model data model of Wikidata
properties can be pre-defined or declared by annotating properties need to be pre-defined
properties (and datatypes) can be changed any time properties cannot be changed!
requires extensions for form-based input comes with a fixed, built-in edit interface
SPARQL only with external triplestore
internal query language (easier than SPARQL) no built-in querying of data
14. 14
Semantic MediaWiki or Wikibase?
https://www.mediawiki.org/wiki/Manual:Managing_data_in_MediaWiki
Semantic MediaWiki when you Wikibase when you
have data that is not always disputed
(reference datatype exists)
need data provenance
(complex statments with references for disputed data)
want a data structure that defines your (smaller) world want a data structure that describes the world
want to re-use domain-specific vocabularies (schema.org) want to re-use (part of the) Wikidata ontology
want to define your own edit forms want the edit interface of Wikidata
want to interact with your data in wiki pages want to interact with your data primarily via SPARQL
endpoint
16. 16
What is Semantic MediaWiki (SMW)?
open source project:
• www.semantic-mediawiki.org
• https://github.com/SemanticMediaWiki
the „swiss army knife“ for data and
semantics
built on the MediaWiki ecosystem:
the wiki engine that powers Wikipedia
can be used for much more than just
wikis…
17. 17
MediaWiki + SMW + more extensions
• collaborative editing
• version history of every edit
• no backend:
everything is a wiki page
• structure via categories and
namespaces
• API
• …
• structured data
(Web database)
• result lists and formats
via {{#ask:}} queries
• Semantic Web standards
• triplestore support
• …
• online forms for data entry
• more visualizations
• responsive skin
• authentication
• image annotation
• SPARQL
• …
19. Open Data and SMW
Make your SMW readable by everyone
– editing can still be restricted to logged-in users
Include an open license
– see https://www.mediawiki.org/wiki/Manual:Copyright
– $wgRightsIcon = "$wgScriptPath/resources/assets/licenses/cc-by-sa.png";
Make it easy for users to access your data:
– SMW puts a link to the RDF-representation of individual pages (via Special:ExportRDF) in the
HTML automatically, see https://www.semantic-mediawiki.org/wiki/Help:RDF_export
– create an RDF Dump https://www.semantic-mediawiki.org/wiki/Help:Maintenance_script_dumpRDF.php
– indicate exporting of data on pages or lists (e. g. vCard, iCalendar, BibTex, KML)
– provide export pages with explanations and several result formats (CSV, JSON, RDF)
20. Linked Data and SMW
Re-use external vocabularies, most importantly Schema.org
Add vocabulary definitions to properties, but also to category pages
Use the page IDs of MediaWiki as unique identifiers
Use the data type External identifier to link to external sources
21. 21
Building your Knowledge Base
• page Vienna can have properties
– number of inhabitants, located in,
coordinates, WikidataID, …
• properties can have various data types
– page, text, number, date, URL, …
– external identifier links to external resources
• re-use external vocabularies
– “Coordinates” imported from schema:geo
• a page should be put into a category
– Also category pages should re-use vocabularies:
{{#set:Imported from=schema:City}}
22. Unique IDs in MediaWiki and
Special:URIResolver in SMW
Every page has a unique page ID
display it with the magic word:
{{PAGEID}}
use it to link to a page without using the
page name (that could change over time)
Use Special:URIResolver
https://yourwiki/Special:URIResolver/?curid=34
supports content negotiation
Furthermore: IDs for every version of a
page!
23. Using External Vocabularies
1. Add/edit a page
MediaWiki:Smw import schema
2. Instead of local datatype declarations, use
{{#set:Imported from=schema:geo}}
on the property page (e. g. Property:Coordinates)
instead of {{#set:Has type=Geographic coordinates}}
Add (or remove) vocabulary
terms any time…
24. Linking to external identifiers
Define a property
Assign datatype „External identifier“
– Links to external ids
{{#set:Has type=External identifier
|External formatter uri=
http://www.wikidata.org/entity/$1}}
Look for other identifiers
– ORCID https://orcid.org/
– GND
– …..
Even better, use Schema.org:
{{#set:Imported from::schema:sameAs}}
30. 30
Maintaining your Knowledge Graph
Data/ontology curation: “semantic gardening”
• user rights
– admins, curators, users
• property annotation health
– Outdated properties/entities
– Similar properties
– Property uniqueness
– Improper annotations and failed queries
– Missing redirect annotations
https://www.semantic-mediawiki.org/wiki/Semantic_gardening
Inferencing
• subcategories
• subproperties
• equality of pages:
redirects
• subqueries
https://www.semantic-mediawiki.org
/wiki/Help:Inferencing
31. 31
Semantic MediaWiki storage options
SQL Store (default)
• extra tables in the
SQL store of
MediaWiki
ElasticStore
• search engine, not a
storage backend
SPARQL/RDF Store
• custom, default
• Virtuoso
• Blazegraph
• Fuseki
• Sesame
• 4store
easy (to install) harder to install but more powerful
32. Examples
Vienna History Wiki
– https://www.geschichtewiki.wien.gv.at
Knowledge Management Platform
– https://www.wissensmanagement.gv.at
Austrian Public Sector Award
– https://www.verwaltungspreis.gv.at
FINA Wiki (numismatic research)
– https://fina.oeaw.ac.at/