Semantic Consistency Checking in Building Ontology from Heterogeneous Sources

Abstract EN

Semantic collision is inevitable while building a domain ontology from heterogeneous data sources (semi-)automatically.

Therefore, the semantic consistency is indispensable precondition for building a correct ontology.

In this paper, a model-checking-based method is proposed to handle the semantic consistency problem with a kind of middle-model methodology, which could extract a domain ontology from structured and semistructured data sources semiautomatically.

The method translates the middle model into the Kripke structure, and consistency assertions into CTL formulae, so a consistency checking problem is promoted to a global model checking.

Moreover, the feasibility and correctness of the transformation is proved, and case studies are provided.