Identifying change patterns of concept attributes in ontology evolution

Abstract : Ontology versions are periodically released to ensure their usefulness and reliability over time. This potentially impacts dependent artefacts such as mappings and annotations. To deal with this issue re- quires to nely characterize ontology entities' changes between ontology versions. This article proposes to identify change patterns at attribute values when an ontology evolves, to track textual statements describing concepts. We empirically evaluate our approach by using biomedical on- tologies, for which new ontology versions are frequently released. Our achieved results suggest the feasibility of the proposed techniques.
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Communication dans un congrès
11th Extended Semantic Web Conference (ESWC) 2014, May 2014, Anissaras/Heronissou, Greece. 2014
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Duy Dinh, Julio Cesar Dos Reis, Cédric Pruski, Marcos Da Silveira, Chantal Reynaud-Delaître. Identifying change patterns of concept attributes in ontology evolution. 11th Extended Semantic Web Conference (ESWC) 2014, May 2014, Anissaras/Heronissou, Greece. 2014. 〈hal-01020921〉

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