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Towards Social Webtops Using Semantic Wiki Jie Bao, Li Ding, Deborah McGuinness, James Hendler Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180, USA With contributions from Evan Patton, Jin Guang Zheng, Rui Huang and James Michaelis Tetherless World Constellation funding from: DARPA, NSF, IARPA, ARL, KAUST, Lockheed Martin, SRI, Fujitsu, IBM  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Demo:   http://tw.rpi.edu/wiki   Problem Steep learning curve  in developing and deploying semantic web applications. Solution Reduce it by using semantic wiki. Gain OWL RDF Jena XML SPARQL Protege Java JSP Pellet RIF DL SWiki Semantic  Wiki:  Application Workbench  Challenges and Initial Solutions Wiki:  Knowledge Management  Data Organization Data Sharing Ontology  Personalization Privacy  Protection Provenance Jim Hendler Professor hasRole Person rdfs:subClassOf Alice John hasUncle (Semantic History) (Semantic Email Archive) Alice Bob John isParentOf isBrotherOf RDF Modeling Relational Modeling Rule Modeling (Ontology Repository) Remote SemWiki Remote Query Wiki 1 Wiki 2 ? (“AskMany” extension) Person Name Role Alias Affiliation Project Name Member Issue ID Project Assignee Wiki DB Triple Store Online data Data  Layer RPI Map & Events Wine Wiki Social Rec. Group Info.  Management  Task & Issue Tracking Ontology  Repository Still many  not yet mentioned … Wiki  Layer App. Layer (Semantic) Wiki Scripting Semantic  Template Semantic  Query (PHP, Javascript) Wiki Extensions Halo Annotation Extension Parser  Function … House of Social Webtop Concept Modeling: RDF, Relational Modeling, Rules Semantic  Forms Wiki DB Data  Layer Wiki  Document Wiki  Layer Doc. Layer Wiki  Scripting Wiki  Extensions KM

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Towards social webtops using semantic wiki

  • 1.

Editor's Notes

  1. One of the main reasons that why semantic web technology is adopted slowly is its complexity: End user learning curve: understand language; learn tools (ontology editor, annotation tools) How end users engage? End tool needs application, not only tool (like editor) – application facilitate end user engagement. Ex: user get homepage for free {{PersonInfo}}{{Person}} Need end user to contribute data, but how? Allow user to contribute data, not only expert. Too build semantic web application, high learning curve: reasoner, editor, parser, browser, api, triple store, … One of the major barriers for the mass adoption of semantic technology is its complexity, for both end users and tool builders. Semantic Wiki provides an application infrastructure that serves for end users as a friendly interface to collaboratively provide/consume semantic data tool builders as a handy workbench to develop lightweight semantic web applications Demo Site: http://tw.rpi.edu/wiki