On Similarity Measures for Concept-based Querying
نویسنده
چکیده
The aim of this paper is to devise measures for similarity for querying an information base, that utilizes the knowledge represented in an ontology. The basis for this approach is an ontology defining the major concepts of the domain and a concept language defining a set of well-formed concepts. These concepts are to be used for description of the semantics of objects in the information base. Well-formed concepts are thus assumed to form the basis for an indexing of the information base in the sense that these concepts appear as descriptions attached to the objects in the information base. The challenge for support of queries in this context is an evaluation principle that on the one hand utilizes the semantics expressed in the concept language and on the other is sufficiently efficient to candidate as a realistic principle for query evaluation. We present and discuss principles where efficiency is obtained by reducing the matching problem which basically is a matter of conceptual reasoning to numerical similarity computation.
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