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This paper presents a novel way of building the user profile of concept network for personalized search. The user profile is defined as a concept network, in which each concept is approximately represented with the formal concept analysis (FCA) theory. We assume that a concept, called `session interest concept', subsume a user's query intention during a query session and it can reflect the user's...
For web service matching using different ontology, a new matching approach based on concept lattice is proposed in the paper. Firstly, a Formal Concept Analysis theory is formed by different ontology mapping. Secondly, a concept lattice structure is presented based on the Formal Concept Analysis and other mapping relations besides equal mapping are defined Then the similarity computing methods based...
In recent years, the success of Semantic Web is strongly related to the diffusion of numerous distributed ontologies enabling shared machine readable contents. Ontologies vary in size, semantic, application domain, but often do not foresee the representation and manipulation of uncertain information. Here we describe an approach for automatic fuzzy ontology elicitation by the analysis of web resources...
In this paper, we present a cooperative approach to deal with empty answers in the case of fuzzy conjunctive queries by referring to the formal concept analysis theory. We present an architecture combining databases with this theory. In this architecture, fuzzy querying processing based on Galois lattices allows to detect the reasons of empty answers by providing the subqueries that are responsible...
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