A Semantic Web of Know-How: Linked Data for Community-Centric Tasks

andrews.ac.uk This paper proposes a novel framework for representing com-munity ‘know-how ’ on the Semantic Web. Procedural knowl-edge generated by web communities typically takes the form of natural language instructions or videos and is largely un-structured. 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 provid-ing a concrete implementation which includes a method for automatically acquiring procedural knowledge for real-world tasks. 1