模糊技术在互联网元搜索中的应用

J.A. Okivas, P. J. Garcés, F. P. Romero
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引用次数: 5

摘要

在这项工作中,开发了一个概念表示模型(FIS-CPU),该模型基于分别从模糊同义词词典[1]和模糊本体中获得的两种模糊词之间的相互关系,即同义词和一般性。该模型已被放入元搜索器FISS (Fuzzy Interrelations and Synonymy based Searcher)中,它能够检索概念上相关的网页组,从而提高搜索结果的质量。
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FISS: application of fuzzy technologies to an internet metasearcher
In this work a concept representation model (FIS-CPU) has been developed, which is based on two types of fuzzy interrelations between words, synonymy and generality, obtained from a fuzzy dictionary of synonyms [1] and a fuzzy ontology respectively. The model has been put into the metasearcher FISS (Fuzzy Interrelations and Synonymy based Searcher) which is able to retrieve groups of web pages conceptually related among them, improving in this way the quality of the search results.
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