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Semantic Wikis
Valentin Sviridov
13/12/2013 COMASIC M2 2013 - Web Sémantique 1
Some parts are taken from “Semantic Wikipedia”
presentation by Aaron Gallant and Sung Kim
Plan
• Introduction
– Why bother?
– What is Semantic Wiki?
– History and people behind
• Practical point of view
– How does it work?
– How is it used?
• Conclusion
– How to take part?
– Q&A
13/12/2013 COMASIC M2 2013 - Web Sémantique 2
Why bother?
• Traditional Wiki problems
– Data coherency
– Data access
– External data usage
– Tags/categories hell
• Export to RDF
13/12/2013 COMASIC M2 2013 - Web Sémantique 3
What is Semantic Wiki?
• Model of knowledge
– Machine processing is possible
• Regular Wiki
– Structured text and untyped hyperlinks
• Semantic Wiki
– Identifiable information with typed hyperlinks
– Metadata
13/12/2013 COMASIC M2 2013 - Web Sémantique 4
MediaWiki Structures
• Wiki Text: Markup language
– Relation between entities
• Hyperlinks : Redirect to different pages
– [[PAGE_NAME]]
• Category: classify pages and gives structures
– [[Category: CATEGORY_NAME]]
• Synonymous
– Redirect mechanism
• Homonymous
– Disambiguation page
13/12/2013 COMASIC M2 2013 - Web Sémantique 5
MediaWiki Structures
13/12/2013 COMASIC M2 2013 - Web Sémantique 6
Category
13/12/2013 COMASIC M2 2013 - Web Sémantique 7
Semantics: Shaken, not Stirred
13/12/2013 COMASIC M2 2013 - Web Sémantique 8
Typical features and examples
• Features
– Relate data (X is author of Y)
– Assign attributes to pages
– Search and filter (list of books published in French in
1965)
– Automatic updates of dependent pages
• Usage examples
– Bibliography
– Genealogy
– Catalogues
– Biology-related databases
13/12/2013 COMASIC M2 2013 - Web Sémantique 9
History
• 2001 – Wikipedia launched
• 2003 – Mention of Semantic Wiki
– L. Sauermann. The Gnowsis – Using Semantic Web
Technologies to build a Semantic Desktop. Master’s
thesis, Vienna University of Technology, 2003.
• Middle of 2000s
– PlatypusWiki (2004); Rhizome (2005); IkeWiki (2006); OntoWiki (2006)
• Today
– Semantic MediaWiki is the most widely used
13/12/2013 COMASIC M2 2013 - Web Sémantique 10
People
• Tim Berners-Lee
– Web creator
– Coined Semantic Web term
• Jimmy Wales and Larry Sanger
– Wikipedia project
• Markus Krötzsch, Denny Vrandečić and Max
Völkel
– Semantic MediaWiki in 2005
• Agile Knowledge Engineering and Semantic
Web (AKSW) research group, University of
Leipzig
– DBpedia and OntoWiki
13/12/2013 COMASIC M2 2013 - Web Sémantique 11
How does it work?
• Semantics included or placed separately
• Syntax: Wiki, OWL, RDF
• Ontologies: internal or “standard” ones
• Some wikis provide querying and reasoning
support
13/12/2013 COMASIC M2 2013 - Web Sémantique 12
How is it used?
• Show similar articles
• Derived information
– Place in the hierarchy
• Browse link types: show all capitals
• Semantic search
– SPARQL
– Usual search + refinement
13/12/2013 COMASIC M2 2013 - Web Sémantique 13
Wild nature Semantic Wikis
• Public wikis
• Internal usage
13/12/2013 COMASIC M2 2013 - Web Sémantique 14
Semantic Wiki engines
• Semantic MediaWiki
– Semantic Forms
– Semantic Result Formats
– Semantic Maps
• Ontowiki
13/12/2013 COMASIC M2 2013 - Web Sémantique 15
Semantic MediaWiki
• Extension to MediaWiki: special annotations
• Features
– Automatically-generated lists
– Visual display of information (maps, graphs, …)
– More simple data structure (no “1620s births” any more)
– Searching
– External use: CVS, JSON, SPARQL, RDF
• Syntax: [[Property name: Value]]
– Hyperlinks
• E.g. London  [[capital of: England]]
– Data value
• E.g. London  [[Population: 7,421,328]]
13/12/2013 COMASIC M2 2013 - Web Sémantique 16
Properties
• Predefined Properties
• Custom Properties
– Declare Properties
• Property Namespace
– E.g. Property: Population
• Define property’s type with has type: attribute
– Possible data types: “String”, “Date”, “Geographic Coordinate”,
“URL”
– E.g. Population  [[has type: Number]]
• Units Definition, Value validation, Property Hierarchy,
etc.
13/12/2013 COMASIC M2 2013 - Web Sémantique 17
OWL Conversion
• OWL/RDF
– Wiki Page = OWL abstract entity
– Property = OWL property
– Category = OWL class
13/12/2013 COMASIC M2 2013 - Web Sémantique 18
Example
13/12/2013 COMASIC M2 2013 - Web Sémantique 19
Text written with MediaWiki
Text written with Semantic MediaWiki
Querying
– Query results and output as part of the wiki
text
– #ask function
13/12/2013 COMASIC M2 2013 - Web Sémantique 20
 Query Condition
 Output Values
{{#ask:
[[Category:City]] [[located in::Germany]]
| ?population | ?area#km² = Size in km²
}}
Export
13/12/2013 COMASIC M2 2013 - Web Sémantique 21
What can you do?
• Research
– Data extraction techniques
– Ontologies
• Pass a message
13/12/2013 COMASIC M2 2013 - Web Sémantique 22
Web 3.0?
• People keep asking what Web 3.0 is. I think
maybe when you've got an overlay of scalable
vector graphics – everything rippling and
folding and looking misty – on Web 2.0 and
access to a semantic Web integrated across a
huge space of data, you'll have access to an
unbelievable data resource ...
Tim Berners-Lee, 2006
13/12/2013 COMASIC M2 2013 - Web Sémantique 23
Questions?
13/12/2013 COMASIC M2 2013 - Web Sémantique 24

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Semantic wikis

  • 1. Semantic Wikis Valentin Sviridov 13/12/2013 COMASIC M2 2013 - Web Sémantique 1 Some parts are taken from “Semantic Wikipedia” presentation by Aaron Gallant and Sung Kim
  • 2. Plan • Introduction – Why bother? – What is Semantic Wiki? – History and people behind • Practical point of view – How does it work? – How is it used? • Conclusion – How to take part? – Q&A 13/12/2013 COMASIC M2 2013 - Web Sémantique 2
  • 3. Why bother? • Traditional Wiki problems – Data coherency – Data access – External data usage – Tags/categories hell • Export to RDF 13/12/2013 COMASIC M2 2013 - Web Sémantique 3
  • 4. What is Semantic Wiki? • Model of knowledge – Machine processing is possible • Regular Wiki – Structured text and untyped hyperlinks • Semantic Wiki – Identifiable information with typed hyperlinks – Metadata 13/12/2013 COMASIC M2 2013 - Web Sémantique 4
  • 5. MediaWiki Structures • Wiki Text: Markup language – Relation between entities • Hyperlinks : Redirect to different pages – [[PAGE_NAME]] • Category: classify pages and gives structures – [[Category: CATEGORY_NAME]] • Synonymous – Redirect mechanism • Homonymous – Disambiguation page 13/12/2013 COMASIC M2 2013 - Web Sémantique 5
  • 6. MediaWiki Structures 13/12/2013 COMASIC M2 2013 - Web Sémantique 6
  • 7. Category 13/12/2013 COMASIC M2 2013 - Web Sémantique 7
  • 8. Semantics: Shaken, not Stirred 13/12/2013 COMASIC M2 2013 - Web Sémantique 8
  • 9. Typical features and examples • Features – Relate data (X is author of Y) – Assign attributes to pages – Search and filter (list of books published in French in 1965) – Automatic updates of dependent pages • Usage examples – Bibliography – Genealogy – Catalogues – Biology-related databases 13/12/2013 COMASIC M2 2013 - Web Sémantique 9
  • 10. History • 2001 – Wikipedia launched • 2003 – Mention of Semantic Wiki – L. Sauermann. The Gnowsis – Using Semantic Web Technologies to build a Semantic Desktop. Master’s thesis, Vienna University of Technology, 2003. • Middle of 2000s – PlatypusWiki (2004); Rhizome (2005); IkeWiki (2006); OntoWiki (2006) • Today – Semantic MediaWiki is the most widely used 13/12/2013 COMASIC M2 2013 - Web Sémantique 10
  • 11. People • Tim Berners-Lee – Web creator – Coined Semantic Web term • Jimmy Wales and Larry Sanger – Wikipedia project • Markus Krötzsch, Denny Vrandečić and Max Völkel – Semantic MediaWiki in 2005 • Agile Knowledge Engineering and Semantic Web (AKSW) research group, University of Leipzig – DBpedia and OntoWiki 13/12/2013 COMASIC M2 2013 - Web Sémantique 11
  • 12. How does it work? • Semantics included or placed separately • Syntax: Wiki, OWL, RDF • Ontologies: internal or “standard” ones • Some wikis provide querying and reasoning support 13/12/2013 COMASIC M2 2013 - Web Sémantique 12
  • 13. How is it used? • Show similar articles • Derived information – Place in the hierarchy • Browse link types: show all capitals • Semantic search – SPARQL – Usual search + refinement 13/12/2013 COMASIC M2 2013 - Web Sémantique 13
  • 14. Wild nature Semantic Wikis • Public wikis • Internal usage 13/12/2013 COMASIC M2 2013 - Web Sémantique 14
  • 15. Semantic Wiki engines • Semantic MediaWiki – Semantic Forms – Semantic Result Formats – Semantic Maps • Ontowiki 13/12/2013 COMASIC M2 2013 - Web Sémantique 15
  • 16. Semantic MediaWiki • Extension to MediaWiki: special annotations • Features – Automatically-generated lists – Visual display of information (maps, graphs, …) – More simple data structure (no “1620s births” any more) – Searching – External use: CVS, JSON, SPARQL, RDF • Syntax: [[Property name: Value]] – Hyperlinks • E.g. London  [[capital of: England]] – Data value • E.g. London  [[Population: 7,421,328]] 13/12/2013 COMASIC M2 2013 - Web Sémantique 16
  • 17. Properties • Predefined Properties • Custom Properties – Declare Properties • Property Namespace – E.g. Property: Population • Define property’s type with has type: attribute – Possible data types: “String”, “Date”, “Geographic Coordinate”, “URL” – E.g. Population  [[has type: Number]] • Units Definition, Value validation, Property Hierarchy, etc. 13/12/2013 COMASIC M2 2013 - Web Sémantique 17
  • 18. OWL Conversion • OWL/RDF – Wiki Page = OWL abstract entity – Property = OWL property – Category = OWL class 13/12/2013 COMASIC M2 2013 - Web Sémantique 18
  • 19. Example 13/12/2013 COMASIC M2 2013 - Web Sémantique 19 Text written with MediaWiki Text written with Semantic MediaWiki
  • 20. Querying – Query results and output as part of the wiki text – #ask function 13/12/2013 COMASIC M2 2013 - Web Sémantique 20  Query Condition  Output Values {{#ask: [[Category:City]] [[located in::Germany]] | ?population | ?area#km² = Size in km² }}
  • 21. Export 13/12/2013 COMASIC M2 2013 - Web Sémantique 21
  • 22. What can you do? • Research – Data extraction techniques – Ontologies • Pass a message 13/12/2013 COMASIC M2 2013 - Web Sémantique 22
  • 23. Web 3.0? • People keep asking what Web 3.0 is. I think maybe when you've got an overlay of scalable vector graphics – everything rippling and folding and looking misty – on Web 2.0 and access to a semantic Web integrated across a huge space of data, you'll have access to an unbelievable data resource ... Tim Berners-Lee, 2006 13/12/2013 COMASIC M2 2013 - Web Sémantique 23
  • 24. Questions? 13/12/2013 COMASIC M2 2013 - Web Sémantique 24