engleski

Semantic Matching Using Concept Lattice

Abstract. This paper describes how a concept lattice that represents semantic relations (synonymy, hyponymy, hypernymy) in a set of words can be used for semantic matching. This kind of concept lattice is the result of the formal concept analysis technique used for determining semantic relations in a set of words extracted from a monolingual dictionary. It is shown how relations between concepts can be mapped into semantic matching relations (equivalence, disjointness, more specific, less specific). The results of using semantic matching with concept lattice in a spoken dialog manager system are shown. The models are represented in F-logic language and implemented in FLORA-2 system.

Concept Lattice; Semantic Matching; Synonym Extraction; F-logic; Natural Language Dialog System

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