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An Extensible Semantic Wiki Architecture The Semantic Wiki Extension Space Jochen Reutelshöfer, Fabian Haupt, Florian Lemmerichand Joachim Baumeister, University of Würzburg Germany
Semantic Wiki Whatis a Semantic Wiki? „Semanticallyenriched“ content Allowingforsome additional functionalitybeyondreadingandbrowsing Examples: Semantic MediaWiki, KIWI, SWIM, AceWiki, SweetWiki,… Problem: Wiki means: fast and simple enrichingthecontentmeans: … Danger not so fast and not so simple (anymore) ?
Why Extending(Semantic) Wikis? Customization: tailored to specific applications Lowers barriers of usage Higher efficiency in formalization Extension: more complex knowledge management Problem-solving knowledge, flowchart-editing Advanced editing support Exploitation of further formalization techniques NLP, Text Mining Customized to a startup corpus
How Extending Semantic Wikis? ?
The Semantic Wiki  Pipeline
DimensionsofExtensions
Semantic Wiki Extension Space (minimal)
The  KnowWE Minimal Core Presentation Inline SPARQL  Queries Basic Markups Sesame2  + OWLIM Formalization Reasoning
Extensions
Application: Hermes Wiki Developers: Chair of ancient greek history, 4-6 people (University of Würzburg) Task: Connecting explaining text, formalized time events and historical sources Purpose: Exam preparation for students Content: > 500 pages, ~ 600 time events, >100 Google-maps, > 350 concepts (historical characters, places, peoples, rites…)
Articleabouttheconquestof Alexander the Great 32 time events
 In Wiki Source…
 In Wiki Source… Importance Title Date Description Source
Hermes Ontology Concept Character Geogr. Location Source involves describedBy locatedAt Politician God Writer Historian Dynasty Description TimeEvent Title hasDate Date Importance
DecoratingSemantic Wikis Hide/Disable Basic Functionality Add customKnowledgeFormalizationandPresentationExtensionstailoredexactlytotaskand mental model oftheuser Result: People don‘tneedtoknowabout SWs
The d3web Extension FormalizationComponent: ,[object Object]
Visual editorsFor: ,[object Object]
DecisionTrees
Covering ModelsPresentationComponent: - Different interview methods
The d3web Extension Interview methods d3web reasoning engine ,[object Object]
Tables
Editors,[object Object]
The Semantic Wiki  Pipeline
?
Multimodal Knowledge Knowledge of organizations is present in different shapes but referring to the same objects and relations of the domain Functional Models Tabular data Text Logic XML Rules Images Segmented Text Cases Flow charts
Semantic Wiki: AuthoringandReasoningwithknowledge ,[object Object]

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An Extensible Semantic Wiki Architecture

  • 1. An Extensible Semantic Wiki Architecture The Semantic Wiki Extension Space Jochen Reutelshöfer, Fabian Haupt, Florian Lemmerichand Joachim Baumeister, University of Würzburg Germany
  • 2. Semantic Wiki Whatis a Semantic Wiki? „Semanticallyenriched“ content Allowingforsome additional functionalitybeyondreadingandbrowsing Examples: Semantic MediaWiki, KIWI, SWIM, AceWiki, SweetWiki,… Problem: Wiki means: fast and simple enrichingthecontentmeans: … Danger not so fast and not so simple (anymore) ?
  • 3. Why Extending(Semantic) Wikis? Customization: tailored to specific applications Lowers barriers of usage Higher efficiency in formalization Extension: more complex knowledge management Problem-solving knowledge, flowchart-editing Advanced editing support Exploitation of further formalization techniques NLP, Text Mining Customized to a startup corpus
  • 5. The Semantic Wiki Pipeline
  • 7. Semantic Wiki Extension Space (minimal)
  • 8. The KnowWE Minimal Core Presentation Inline SPARQL Queries Basic Markups Sesame2 + OWLIM Formalization Reasoning
  • 10. Application: Hermes Wiki Developers: Chair of ancient greek history, 4-6 people (University of Würzburg) Task: Connecting explaining text, formalized time events and historical sources Purpose: Exam preparation for students Content: > 500 pages, ~ 600 time events, >100 Google-maps, > 350 concepts (historical characters, places, peoples, rites…)
  • 12. In Wiki Source…
  • 13. In Wiki Source… Importance Title Date Description Source
  • 14. Hermes Ontology Concept Character Geogr. Location Source involves describedBy locatedAt Politician God Writer Historian Dynasty Description TimeEvent Title hasDate Date Importance
  • 15. DecoratingSemantic Wikis Hide/Disable Basic Functionality Add customKnowledgeFormalizationandPresentationExtensionstailoredexactlytotaskand mental model oftheuser Result: People don‘tneedtoknowabout SWs
  • 16.
  • 17.
  • 19. Covering ModelsPresentationComponent: - Different interview methods
  • 20.
  • 22.
  • 23. The Semantic Wiki Pipeline
  • 24. ?
  • 25. Multimodal Knowledge Knowledge of organizations is present in different shapes but referring to the same objects and relations of the domain Functional Models Tabular data Text Logic XML Rules Images Segmented Text Cases Flow charts
  • 26.
  • 28. at different degreesofformalitydescribingonetopic. KnowWE – A Semantic Wiki forKnowledge Engineering Try out: http://knowwedemo.informatik.uni-wuerzburg.de THANK YOU ExamplepageClogged Air Filterfrom a cardiagnosisknowledgesystem
  • 29. Extension Points Modules Introducingnew„types“ (newmarkup) TagHandlers Actions Actions initiatedbyuser (e.g., transformation/refactoringofcontent) Renderers/Editors Visual representationoftypes ReviseSubtree Handlers Traversationofcontenttree after save (e.g., meta-dataextraction, syntax check)
  • 30. Conclusions KnowledgeWiki Environment KnowWE Core version (withoutanyextension) readyforrunning/extensiondevelopment Latestcode on sourceforge Ongoingdevelopment (drivenbythe d3web-extension) Basic functionalityimprovingwithJSPWiki
  • 31.
  • 33. KnowWE Core Formalizationcomponents: Introduceproperties/hierarchies: Presentationcomponent: