Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/eswc2009/paper/147> ?p ?o. }
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- 147 creator andrew-branson.
- 147 creator jetendr-shamdasani.
- 147 creator mohammed-odeh.
- 147 creator peter-bloodsworth.
- 147 creator richard-mcclatchey.
- 147 creator tamas-hauer.
- 147 type InProceedings.
- 147 label "Semantic Matching using the UMLS".
- 147 sameAs 147.
- 147 abstract "Traditional ontology alignment techniques enable equivalence relationships to be established between concepts in two ontologies with some confidence value. With semantic matching, however, it is possible to identify not only equivalence relationships between concepts, but less general and more general relationships. This is beneficial since more expressive relationships can be discovered between ontologies thus helping us to resolve heterogeneity between differing semantic representations at a finer level of granularity. This work concerns the application of semantic matching to the medical domain. We have extended the SMatch algorithm to function in the medical domain with the use of the UMLS metathesaurus as the background resource, hence removing its previous reliance on WordNet, which does not cover the medical domain in a satisfactory manner. We describe the steps required to extend the SMatch algorithm to the medical domain for use with UMLS. We test the accuracy of our approach on subsets of the FMA and MeSH ontologies, with both precision and recall showing the accuracy and coverage of different versions of our algorithm on each dataset.".
- 147 hasAuthorList authorList.
- 147 hasTopic Ontology_%28computer_science%29.
- 147 hasTopic Ontology_alignment.
- 147 hasTopic Semantic_Web.
- 147 isPartOf proceedings.
- 147 keyword "UMLS".
- 147 keyword "ontology matching".
- 147 keyword "semantic matching".
- 147 title "Semantic Matching using the UMLS".