Report on methods and algorithms for bootstrapping Semantic Web content from user repositories and reaching consensus on the use of semantics

Andrews, Pierre and Pane, Juan and Zaihrayeu, Ilya (2010) Report on methods and algorithms for bootstrapping Semantic Web content from user repositories and reaching consensus on the use of semantics. UNSPECIFIED.

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    Abstract

    The INSEMTIVES projects explores two approaches to tackle the issue of missing semantic content in the semantic web: finding insentives to motivate the user to provide more annotation and minimizing the cold start issue to provide enough critical mass of annotation to the users so they can see the benefits of semantic content. In this deliverable, we discuss solutions for reaching a critical mass of quality semantic annotations. We describe two techniques to solve this issue: a) automatic bootstrapping of annotations from the user’s knowledge and the content of resources and b) consensus reaching techniques to ensure quality annotations that are understood and shared by most of the users of the semantic web.

    Item Type: Departmental Technical Report
    Department or Research center: Information Engineering and Computer Science
    Subjects: Q Science > QA Mathematics > QA076 Computer software
    Report Number: DISI-10-009
    Repository staff approval on: 01 Apr 2010

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