The Open University ’ s repository of research publications and other research outputs Editing OWL through generated CNL
نویسندگان
چکیده
Traditionally, Controlled Natural Languages (CNLs) are designed either to avoid ambiguity for human readers, or to facilitate automatic semantic analysis, so that texts can be transcoded to a knowledge representation language. CNLs of the second kind have recently been adapted to the requirements of knowledge formation in OWL for the Semantic Web. We suggest in this paper a variant approach based on automatic generation of texts in CNL (as opposed to automatic analysis), and argue that this provides the best of both worlds, allowing us to pursue human readability in addition to a precise mapping from texts to a formal language.
منابع مشابه
The Open University ’ s repository of research publications and other research outputs Editing OWL through generated
Traditionally, Controlled Natural Languages (CNLs) are designed either to avoid ambiguity for human readers, or to facilitate automatic semantic analysis, so that texts can be transcoded to a knowledge representation language. CNLs of the second kind have recently been adapted to the requirements of knowledge formation in OWL for the Semantic Web. We suggest in this paper a variant approach bas...
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متن کاملThe Open University ’ s repository of research publications and other research outputs Integration of OWL - S into IRS
IRS-III is the first WSMO compliant system for supporting the Semantic Web Services technologies and it is based on the IRS-II [3]. This paper presents how we integrated the OWL-S [5] service description ontology to IRS-III. We describe how the underlying model of IRS-III supports OWL-S.
متن کاملThe Open University ’ s repository of research publications and other research outputs Integration of OWL - S into IRS - III Conference
IRS-III is the first WSMO compliant system for supporting the Semantic Web Services technologies and it is based on the IRS-II [3]. This paper presents how we integrated the OWL-S [5] service description ontology to IRS-III. We describe how the underlying model of IRS-III supports OWL-S.
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