Identification of Web Information using Concept Hierarchies and On-line Updates of Concept Importance
نویسندگان
چکیده
The Internet users have to perform a lot of search to find web pages with relevant information. The paper proposes an approach for utilization of a hierarchy of concepts to perform identification of web pages in the environment of the Semantic Web. A user provides a hierarchy of concepts that can only partially “cover” their domain of interest. Ontologies related to that domain are used to instantiate the hierarchy with concrete information, as well as to enhance it with new concepts initially unknown to the user. A web page is checked against concepts from the hierarchy and activation levels of those concepts are aggregated using Ordered Weighted Averaging (OWA) operators that are part of the hierarchy of concepts. Mechanisms of aggregations embedded in OWA operators are determined using linguistic quantifiers and importance of concepts. The importance of concepts is constantly changing, and in order to automatically assign importance values and “keep track” of changes a new algorithm for Adaptive Assigning of Term Importance (AATI) is used. Keywords—hierarchy of concepts, ontology, ordered weighted aggregation, text identification
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