Imposing a Semantic Schema for the Detection of Potential Mistakes in Knowledge Resources

Maltese, Vincenzo (2013) Imposing a Semantic Schema for the Detection of Potential Mistakes in Knowledge Resources. Trento : Università degli Studi di Trento.

PDF - Full Text
Download (323Kb) | Preview


    Society is becoming a complex socio-technical ecosystem requiring novel ICT solutions to provide the basic infrastructure for innovative services able to address key societal challenges and to assist people in their everyday activities. To tackle such complexity, there is a pressing need for very accurate, up-to-date and diversity-aware knowledge resources which can guarantee that results of automatic processing can be trusted enough for decision making processes. As the maintenance of such resources turns out to be very expensive, we argue that the only affordable way to address this is by complementing automatic with manual checks. This paper presents a methodology, based on the notion of semantic schema, which aims to minimize human intervention as it allows the automatic identification of potentially faulty parts of a knowledge resource which need manual checks. Our evaluation showed promising results.

    Item Type: Departmental Technical Report
    FP7 Grant Agreement Number: 287704
    Department or Research center: Information Engineering and Computer Science
    Subjects: Q Science > QA Mathematics > QA076 Computer software
    Additional Information: A brief version of this report has been accepted as a poster of the Ontologies, DataBases, and Applications of Semantics (ODBASE) Workshop 2013 in OTM 2013 Conference, and it is now published in Y.T. Demey, H. Panetto (eds.), On the Move to Meaningful Internet Systems: OTM 2013 Workshops, Berlin, Heidelberg, Springer Verlag, copyr. 2013 (Lecture Notes in Computer Science; 8186). - ISBN: 978-3-642-41032-1 (Print); 978-3-642-41033-8 (Online). -
    Report Number: DISI-13-034
    Repository staff approval on: 10 Oct 2013 13:58

    Actions (login required)

    View Item