Two Protégé plug-ins for supporting document-based ontology engineering and ontological annotation at document-level

    Publikation: KonferenzbeitragPaperForschungBegutachtung

    Abstract

    We present two plug-ins for Protégé OWL. The first, Discovery Tab, supports document-based ontology engineering with relevant term extraction, clustering and related functionality. The second, Annotation Tab, provides a facility to annotate documents manually and automatically (based on a training set).
    Originalspracheenglisch
    PublikationsstatusVeröffentlicht - 2007

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    @conference{9a873189fd8248aea63af7356dd599e3,
    title = "Two Prot{\'e}g{\'e} plug-ins for supporting document-based ontology engineering and ontological annotation at document-level",
    abstract = "We present two plug-ins for Prot{\'e}g{\'e} OWL. The first, Discovery Tab, supports document-based ontology engineering with relevant term extraction, clustering and related functionality. The second, Annotation Tab, provides a facility to annotate documents manually and automatically (based on a training set).",
    author = "Viktoria Pammer-Schindler and Peter Scheir and Stefanie Lindstaedt",
    year = "2007",
    language = "English",

    }

    TY - CONF

    T1 - Two Protégé plug-ins for supporting document-based ontology engineering and ontological annotation at document-level

    AU - Pammer-Schindler, Viktoria

    AU - Scheir, Peter

    AU - Lindstaedt, Stefanie

    PY - 2007

    Y1 - 2007

    N2 - We present two plug-ins for Protégé OWL. The first, Discovery Tab, supports document-based ontology engineering with relevant term extraction, clustering and related functionality. The second, Annotation Tab, provides a facility to annotate documents manually and automatically (based on a training set).

    AB - We present two plug-ins for Protégé OWL. The first, Discovery Tab, supports document-based ontology engineering with relevant term extraction, clustering and related functionality. The second, Annotation Tab, provides a facility to annotate documents manually and automatically (based on a training set).

    M3 - Paper

    ER -