Integrating Fuzzy Formal Concept Analysis and Rough Set Theory for the Semantic Web

Formal Con ept Analysis and Rough Set Theory provide two mathemati al frame- works in information management whi h have been developed almost independently in the past. Currently, their integration is revealing very interesting in dierent resear h elds, su h as knowledge dis overy, data mining, information retrieval, elearning, and ontology engineering. In this paper, we show how Rough Set Theory an be employed in ombination with a generalization of Formal Con ept Analysis for modeling un ertainty information ( Fuzzy Formal Con ept Analysis ) to perform Semanti Web sear h. In parti ular this paper presents an updated evaluation of a previous proposal of the author whi h has been addressed be ause of the in reas- ing interest in this topi and, at the same time, the absen e in the literature of signi ant proposals ombining these two frameworks.