A Context-based Approach for Complex Semantic Matching
نویسندگان
چکیده
Semantic matching is a fundamental step in implementing data sharing applications. Most systems automating this task however limit themselves to finding simple (one-to-one) matching. In fact, complex (many-to-many) matching raises a far more difficult problem as the search space of concept combinations is often very large. This article presents Indigo, a system discovering complex matching in two steps. First, it semantically enriches data sources with complex concepts extracted from their development artifacts. It then proceeds to the alignment of data sources thus enhanced.
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