A Semantic Web of Know-how: Linked Data for Community-centric Tasks

Paolo Pareti, Ewan Klein, Adam Barker

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

Abstract / Description of output

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 Companion
Place of PublicationRepublic and Canton of Geneva, Switzerland
PublisherInternational World Wide Web Conferences Steering Committee
Number of pages6
ISBN (Print)978-1-4503-2745-9
Publication statusPublished - 2014

Keywords / Materials (for Non-textual outputs)

  • know-how, knowledge representation, procedural knowledge, process ontology, semantic web, social web


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