New Methods for Ontology Alignment.
- Aligning multiple ontologies has come to the forefront of the data integration field as a critical and complex problem without a single universally applicable solution. Many different semi-automatic and automatic solutions have been proposed, each solving a piece of the alignment problem and leading to a developing picture of how to best integrate the ever-growing information of the Semantic Web. ... read moreIn this work, we present a context-sensitive ontology alignment algorithm, CompositeMatch, that considers one aspect of the problem: the problem of accurately identifying composite matches. These matches, which arise when one concept is equivalent to the combination of multiple others, are an often-overlooked portion of an accurate alignment. CompositeMatch identifies these matches, along with the typical one-to-one matches, by taking advantage of the information provided by a concept's surrounding concepts, referred to as the context'' of a concept. Because the algorithm looks more broadly at concepts and the information that their relationships confer, it can identify both composite and non-composite matches. In the end, this methodology provides more accurate matches between ontologies that differ structurally. In this paper, we show that our algorithm can correctly identify composite matches more confidently than existing, high-performing alignment tools.read less