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Semantic Wikipedia
Abstract Wikipedia is the world's largest collaboraWikipedia is the world's largest collaboratively edited source of encyclopaedic knowledge. But in spite of its utility, its contents are barely machine-interpretable. Structural knowledge, e.,g. about how concepts are interrelated, can neither be formally stated nor automatically processed. Also the wealth of numerical data is only available as plain text and thus can not be processed by its actual {meaning.We} provide an extension to be integrated in Wikipedia, that allows the typing of links between articles and the specification of typed data inside the articles in an easy-to-use {manner.Enabling} even casual users to participate in the creation of an open semantic knowledge base, Wikipedia has the chance to become a resource of semantic statements, hitherto unknown regarding size, scope, openness, and internationalisation. These semantic enhancements bring to Wikipedia benefits of today's semantic technologies: more specific ways of searching and browsing. Also, the {RDF} export, that gives direct access to the formalised knowledge, opens Wikipedia up to a wide range of external applications, that will be able to use it as a background knowledge {base.In} this paper, we present the design, implementation, and possible uses of this extension.tion, and possible uses of this extension.
Added by wikilit team Added on initial load  +
Collected data time dimension Cross-sectional  +
Comments "These semantic enhancements bring to Wikipedia benefits of today's semantic technologies: more specific ways of searching and browsing." p. 585 Websites: different wikis
Conclusion These semantic enhancements bring to WikipThese semantic enhancements bring to Wikipedia benefits of today's semantic technologies: more specific ways of searching and browsing. Also, the RDF export, that gives direct access to the formalised knowledge, opens Wikipedia up to a wide range of external applications, that will be able to use it as a background knowledge base.In this paper, we present the design, implementation, and possible uses of this extension.tion, and possible uses of this extension.
Data source Websites  +
Doi 10.1016/j.websem.2007.09.001 +
Google scholar url http://scholar.google.com/scholar?ie=UTF-8&q=%22Semantic%2BWikipedia%22  +
Has author Markus Krötzsch + , Denny Vrandečić + , Max Völkel + , Heiko Haller + , Rudi Studer +
Has domain Computer science +
Has topic Other content topics + , Ontology building + , Technical infrastructure +
Pages 585-594  +
Peer reviewed Yes  +
Publication type Journal article  +
Published in Journal of Web Semantics +
Research design Design science  + , Statistical analysis  +
Research questions Wikipedia is the world’s largest collaboraWikipedia is the world’s largest collaboratively edited source of encyclopaedic knowledge. But in spite of its utility, its content is barely machine-interpretable and only weakly structured. With Semantic MediaWiki we provide an extension that enables wiki-users to semantically annotate wiki pages, based on which the wiki contents can be browsed, searched, and reused in novel ways. In this paper, we give an extended overview of Semantic MediaWiki and discuss experiences regarding performance and current applications. Structural knowledge, e.,g. about how concepts are interrelated, can neither be formally stated nor automatically processed. Also the wealth of numerical data is only available as plain text and thus can not be processed by its actual meaning.We provide an extension to be integrated in Wikipedia, that allows the typing of links between articles and the specification of typed data inside the articles in an easy-to-use manner.Enabling even casual users to participate in the creation of an open semantic knowledge base, Wikipedia has the chance to become a resource of semantic statements, hitherto unknown regarding size, scope, openness, and internationalisation.scope, openness, and internationalisation.
Revid 10,941  +
Theories Undetermined
Theory type Design and action  +
Title Semantic Wikipedia
Unit of analysis Website  +
Url http://dx.doi.org/10.1016/j.websem.2007.09.001  +
Wikipedia coverage Main topic  +
Wikipedia data extraction Live Wikipedia  +
Wikipedia language English  +
Wikipedia page type N/A  +
Year 2007  +
Creation dateThis property is a special property in this wiki. 15 March 2012 20:30:10  +
Categories Other content topics  + , Ontology building  + , Technical infrastructure  + , Computer science  + , Publications  +
Modification dateThis property is a special property in this wiki. 30 January 2014 20:31:21  +
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