Ontology Matching

Euzenat, J., & Shvaiko, P. (2013). Ontology Matching. Springer.

Type

Book

Intellectual base

Review or monograph

Year

2013

DOI

10.1007/978-3-642-38721-0

ISBN

9783642387203

DOI registrant

Springer Nature

Link

https://doi.org/10.1007/978-3-642-38721-0

Cited by

4 citations across 4 artifacts.

Each citation links to the sentence it supports in the citing article.

Domain-specific

• Semantic integration
  • Semantic integration makes data from different sources jointly interpretable by explicitly aligning their concepts, relationships and contextual meanings.
• Semantic translation
  • The entry records a descriptive analytical identity; practical use requires the governing domain's evidence, standards, and safety obligations.

Mechanisms

• Ontology Mapping Workshop
  • The field of ontology matching exists precisely because this alignment is hard enough to warrant dedicated methods and tools.

    This sourceTreats ontology matching as a dedicated field for addressing semantic heterogeneity with specialized methods and tools.

• Schema Mapping Review
  • Its failure mode is structural false equivalence: two fields with the same name and type are mapped as identical when their meaning diverges

    This sourceTreats divergent meaning across heterogeneous ontologies as a semantic matching problem.

Verification

Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.

Does it back the claim? Not recorded. Neither this nor any other of the 4 citations of this work carries a recorded support check.

Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.

See how references were verified.

Registry ID ref:ada20a69210b · see in the full table