A semantic search space integration method for meta-level knowledge acquisition from heterogeneous databases

In this paper, we present a semantic search space integration method for a heterogeneous database environment. This method realizes integration among various semantic search spaces for meta-level knowledge acquisition from heterogeneous databases. This semantic space integration is performed with the interpretation of meanings in terms of common concepts between different databases in heterogeneous research fields. In this paper, we also present an implementation method for applying our integration method to actual semantic search spaces. We have implemented an actual space integration system for accessing environmental and medical information resources. We clarify the feasibility and effectiveness of our method and system by showing several experimental results for environmental and medical document databases.