Biblio

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Author Title Type [ Year(Asc)]
Filters: Author is Julio Cesar Dos Reis  [Clear All Filters]
2015
J. C. Dos Reis, Pruski, C., Da Silveira, M., and Reynaud, C., “DyKOSMap: A Framework for Mapping Adaptation between Biomedical Knowledge Organization Systems”, Journal of Biomedical Informatics, pp. 153-173, 2015.
J. C. Dos Reis, Pruski, C., and Reynaud, C., “Heuristiques pour l'adaptation des mappings entre ontologies dynamiques”, in Extraction et Gestion de Connaissances (EGC), Luxembourg, Luxembourg, 2015, vol. RNTI-E-28, pp. 239-250.
J. C. Dos Reis, Duy, D., Da Silveira, M., Pruski, C., and Reynaud, C., “Recognizing Lexical and Semantic Change patterns in Evolving Life Science Ontologies to Inform Mapping Adaptation”, Artificial Intelligence in Medicine, vol. 63, pp. 153-170, 2015.
J. C. Dos Reis, Pruski, C., and Reynaud, C., “State-of-the-art on Mapping Maintenance and Challenges towards a Fully Automatic Approach”, Expert Systems with Applications, vol. 42, pp. 1465-1478, 2015.
2014
D. Dinh, Reis, J. C. Dos, Pruski, C., Da Silveira, M., and Reynaud, C., “Identifying change patterns of concept attributes in ontology evolution”, in 11th Extended Semantic Web Conference (ESWC) 2014, Anissaras/Heronissou, Greece, 2014.
J. C. Dos Reis, Duy, D., Pruski, C., Da Silveira, M., and Reynaud, C., “Identifying Relevant Concepts Attributes to Support Mapping Maintenance under Ontology Evolution”, Journal of Web Semantics, vol. 29, pp. 53-66, 2014.
J. C. Dos Reis, Duy, D., Pruski, C., Da Silveira, M., and Reynaud, C., “The influence of similarity between concepts in evolving biomedical ontologies for mapping adaptation”, in European Medical Informatics Conference (MIE), Istanbul, Turkey, 2014.
J. C. Dos Reis, Da Silveira, M., Dinh, D., Pruski, C., and Reynaud, C., “Requirements for Implementing Mappings Adaptation Systems”, in Web2Touch 2014 Modelling The Collaborative Web Knowledge, Conference Track@ the 23rd WETICE Conference, Parma, Italy, 2014.
J. C. Dos Reis, Pruski, C., Da Silveira, M., and Reynaud, C., “Understanding semantic mapping evolution by observing changes in biomedical ontologies”, Journal of Biomedical Informatics, pp. 71-82, 2014.