Schema Evolution publication categorizer

Automated Semantic Matching of Ontologies with Verification (ASMOV) is a novel algorithm that uses lexical
and structural characteristics of two ontologies to iteratively calculate a similarity measure between
them, derives an alignment, and then verifies it to ensure that it does not contain semantic inconsistencies.
In this paper,we describe the ASMOV algorithm, and then present experimental results that measure
its accuracy using the OAEI 2008 tests, and that evaluate its use with two different thesauri: WordNet,
and the Unified Medical Language System (UMLS). These results show the increased accuracy obtained
by combining lexical, structural and extensional matchers with semantic verification, and demonstrate
the advantage of using a domain-specific thesaurus for the alignment of specialized ontologies.