Wikipedia:Semantic Wikipedia

From Wikipedia, the free encyclopedia

This is an essay; it contains the advice and/or opinions of one or more Wikipedia contributors. It is not a policy or guideline, and editors are not obliged to follow it.

The Semantic Wikipedia would combine the properties of the Semantic Web and Wiki technology.

Contents

[edit] Advantages to Wikipedia

  • Provides rich metadata
  • Advanced searches - find me italian directors born beween 1956 and 1963, that worked on films staring Jim Carey, on films set in english speaking countries, ...........
  • Data for external applications/sister projects - potential for revenue ( This is Freebase's revenue model)
  • Editing Efficiency
  • Remove duplication of data
  • Removes need for manual lists to be compiled
  • Elegance/Comprehension
  • Solves the awkward category problems:
  • [[Category:African-American Actors from New York]] → [[Ethnicity:African-American]] [[From:New York]]
  • [[Category:Films about WWII | Films about US history|Films about UK history|Films about French History]] → [[Films about:WWII |US history|UK history|French History]]

[edit] Ontology

It would be very interesting to define an ontology of wikipedia articles, such as:

An article about a literary author contains information of:

  • biography
  • main works
  • style, trends he or she followed
  • review
  • bibliography
  • reference

An article about a literary movement is related to:

  • authors that participated
  • historical episodes related to those authors biographies
  • mention to main works

And so forth: Authors related to towns, towns related to countries, countries to continents... It would help making inferences, associations, content augmentations, etc. It would also combine with robots that create templates, relating existing information into new articles.

It would be a very enriching complement to browsing and content discovery.

[edit] Adoption/Integration/Scalability

The adoption of an semantic tools would leave wikipedia valurnable to beginners mistakes. It therefore seems sensible to limit the rate/extent of its adoption by strategically limiting where/how it is used and/or who is allowed impliment it.

[edit] Ontology for Wikipedia

Please feel free to develope this ontology: The goal is to have a exhausive account for all classes and properties that would sensibly be included in an ontology for wikipedia

[edit] Foundamental Properties

  • Name
  • Time/Date
  • Time period is two Time/Date values
  • Number
  • Integer
  • Decimal
  • Range is two numbers

[edit] People

[edit] All People

Ontology for Wikipedia

  • Names & Alternate names
  • Physical Atributes
  • Height
  • Weight
  • Eye colour
  • Birth (Date,Place)
  • Death (Date,Place)
  • Parents
  • Children (Name,Date)
  • Education
  • Employment
  • Hobbies
  • Creative works - Category:Creative works
  • Awards
  • Known for
  • Quotes
  • Criminal convictions
  • Places lived (Place,Date,Date)

[edit] Vehicles

  • Medium travelled - Land, Mud, Water, Space...........
  • Physical attributes
  • Capacity
  • Cargo
  • People

[edit] Reading

Semantic Wikipedia by Markus Krötzsch, Denny Vrandecic, Max Völkel, Heiko Haller, Rudi Studer

[edit] Related projects

  • Semantic MediaWiki
  • Platypus Wiki "Platypus Wiki is a project to develop an enhanced Wiki Wiki Web with ideas borrowed from the Semantic Web. It offers a simple user interface to create wiki pages with metadata based on W3C standards. It uses RDF (Resource Description Framework), RDF Schema and OWL (Web Ontology Language) to create ontologies and manage metadata. Platypus Wiki is an ongoing open source project started on 23rd December 2003. The project is actually hosted on SourceForge and licensed under GNU GPL."
  • Wikipedia:Persondata
  • Wikipedia³ is a monthly-updated conversion of the English Wikipedia into RDF
  • DBpedia is a conversion of wikipedia into RDF combined with other Linked Data sites to provide extra information
  • Freebase is, according to parent company Metaweb, "a massive, collaboratively-edited database of cross-linked data."

[edit] Press coverage