SAM: A tool for the semi-automatic mapping and enrichment of ontologies

Maltese, Vincenzo and Hossain, Bayzid Ashik (2012) SAM: A tool for the semi-automatic mapping and enrichment of ontologies. Trento : Università degli Studi di Trento.

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    Ontologies are fundamental tools used with different purposes and with different modalities in different areas and communities. To guarantee the right level of quality, the most widely used ontologies are man-made. However, developing and maintaining them turns out to be extremely time-consuming. For this reason, there are approaches aiming at their automatic construction where ontologies are incrementally extended by extracting and integrating knowledge from existing sources. However, these approaches tend to reach an accuracy that, according to the application they need to serve, cannot be always considered satisfactory. Therefore, when a higher accuracy is necessary, manual or semi-automatic approaches are still preferable. In this paper we present a technique and a corresponding tool, that we called SAM (semi-automatic mapper), for the semi-automatic enrichment of an ontology through the mapping of an external source to the target ontology. As proved by our evaluation, the tool allows saving around 50% of the time required by purely manual approaches.

    Item Type: Departmental Technical Report
    FP7 Grant Agreement Number: info:eu-repo/grantAgreement/EC/FP7/287704
    Department or Research center: Information Engineering and Computer Science
    Subjects: Q Science > QA Mathematics > QA076 Computer software
    Uncontrolled Keywords: ontologies, mapping, semi-automatic enrichment
    Additional Information: The final proceedings will be published by Springer Verlag as LNCS. Also: in proceedings of the 8th International Workshop on Ontology Content (OnToContent 2012)
    Report Number: DISI-12-007
    Repository staff approval on: 30 May 2012 13:59

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