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    Indexing Ontologies with Semantics-enhanced Keywords

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    Ontologies, as a knowledge representation paradigm, rely on semantics for performing logical inference. However, in the context of ontology query and reuse, the semantics are hard to be manipulated. When searching for ontologies and identifying potentially relevant candidates, a mechanism is required to exploit (i) the appropriate semantic restrictions as well as the (ii) meaning of concepts/properties. This paper proposes an approach that will address both requirements. The contribution of this paper is to conceptually detail how a set of ontology indices can be obtained. More specifically, to obtain a relevant set of keywords describing an ontology, we use logic-based constructors to generate an initial set of keywords. The meaning of these keywords is further explored by consulting a comprehensive text corpora serving as the background/domain knowledge. The novelty of our work lies in the combination of logic-based formalisms with a collaboratively contributed web repository. We illustrate our work by the means of a real world example
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