A semantic web of know-how: linked data for community-centric tasks

Paolo Pareti, Ewan Klein, Adam David Barker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

This paper proposes a novel framework for representing community ‘know-how’ on the Semantic Web. Procedural knowledge generated by web communities typically takes the form of natural language instructions or videos and is largely unstructured. The absence of semantic structure impedes the deployment of many useful applications, in particular the ability to discover and integrate know-how automatically. We discuss the characteristics of community know-how and argue that existing knowledge representation frameworks fail
to represent it adequately. We present a novel framework for representing the semantic structure of community know-how and demonstrate the feasibility of our approach by providing a concrete implementation which includes a method for automatically acquiring procedural knowledge for real-world tasks.
Original languageEnglish
Title of host publicationProceedings of the companion publication of the 23rd international conference on World wide web
PublisherInternational World Wide Web Conferences Steering Committee
Pages1011-1016
Number of pages6
ISBN (Print)978-1-4503-2745-9
DOIs
Publication statusPublished - 7 Apr 2014
EventWWW '14 23rd International World Wide Web Conference - Seoul, Korea, Republic of
Duration: 7 Apr 201411 Apr 2014

Conference

ConferenceWWW '14 23rd International World Wide Web Conference
Country/TerritoryKorea, Republic of
CitySeoul
Period7/04/1411/04/14

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