about
Mapping clinical phenotype data elements to standardized metadata repositories and controlled terminologies: the eMERGE Network experience.Improving the interoperability of biomedical ontologies with compound alignments.Ontology Matching: State of the Art and Future ChallengesA survey on ontology mappingFailure Analysis for Composition of Web Services Represented as Labeled Transition SystemsAn overview of current ontology meta-matching solutionsImproving Ontology Matching Using Meta-level Learning
P2860
Q33906590-68331A88-654E-4C80-A119-2E070DD3D3CAQ47566419-C855FFE5-0DA2-4EC6-ACF7-39C07CA7EEB2Q56878268-2e33a569-4eb5-3200-5d2e-405f46083d3eQ56878277-494d298d-49d2-cb0c-e3df-5d015ee0ff5eQ57015147-25B0B72C-DF23-4E2F-B7BD-0BE91B949238Q57737249-9F7862A4-FEDB-4F31-A291-F59F44BDFB3AQ57905352-2ECD861B-DF6D-4A93-AAF3-68B34ABDB61B
P2860
description
scientific article published on 21 November 2003
@en
wetenschappelijk artikel
@nl
наукова стаття, опублікована в листопаді 2003
@uk
name
Learning to match ontologies on the Semantic Web
@en
Learning to match ontologies on the Semantic Web
@nl
type
label
Learning to match ontologies on the Semantic Web
@en
Learning to match ontologies on the Semantic Web
@nl
prefLabel
Learning to match ontologies on the Semantic Web
@en
Learning to match ontologies on the Semantic Web
@nl
P2093
P1433
P1476
Learning to match ontologies on the Semantic Web
@en
P2093
Alon Halevy
AnHai Doan
Jayant Madhavan
Pedro Domingos
Robin Dhamankar
P2888
P304
P356
10.1007/S00778-003-0104-2
P577
2003-11-21T00:00:00Z