Language and Domain Aware Lightweight Ontology Matching
25 Pages Posted: 9 Jul 2018 Publication Status: Accepted
Concepts and relations in ontologies and in other knowledge organisation systems are usually annotated with natural language labels. Most ontology matchers rely on such labels in element-level matching techniques. State-of-the-art approaches, however, tend to make implicit assumptions about the language used in labels (usually English) and are either domain-agnostic or are built for a specic domain. When faced with labels in dierent languages, most approaches resort to general-purpose machine translation services to reduce the problem to monolingual English-only matching. We investigate a thoroughly dierent and highly extensible solution based on semantic matching where labels are parsed by multilingual natural language processing and then matched using language-independent and domain-aware background knowledge acting as an interlingua. The method is implemented in NuSM, the language and domain aware evolution of the SMATCH semantic matcher, and is evaluated against a translation-based approach. We also design and evaluate a fusion matcher that combines the outputs of the two techniques in order to boost precision or recall beyond the results produced by either technique alone.
Suggested Citation: Suggested Citation