More Than the Sum of Its Parts – Holistic Ontology Alignment by Population-Based Optimisation (original) (raw)

Lecture Notes in Computer Science, 2012

Abstract

Ontology alignment is a key challenge to allow for interoperability between heterogeneous semantic data sources. Today, most algorithms extract an alignment from a matrix of the pairwise similarities of ontological entities of two ontologies. However, this standard approach has severe disadvantages regarding scalability and is incapable of accounting for global alignment quality criteria that go beyond the aggregation of independent pairwise correspondence evaluations. This paper considers the ontology alignment problem as an ...

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