Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science
Reference20 articles.
1. Leclair A, Khedri R, Marinache A. Toward measuring knowledge loss due to ontology modularization. In: Proceedings of the 11th international joint conference on knowledge discovery, knowledge engineering and knowledge management, IC3K 2019. SCITEPRESS—Science and Technology Publications, Lda; 2019 pp. 174–184. https://doi.org/10.5220/0008169301740184.
2. De Giacomo G, Lembo D, Lenzerini M, Poggi A, Rosati R. Using ontologies for semantic data integration. In: Flesca S, Greco S, Masciari E, Saccà D, editors. A comprehensive guide through the Italian database research over the last 25 years. SBD, vol. 31. Cham: Springer; 2018. p. 187–202. https://doi.org/10.1007/978-3-319-61893-7_11.
3. Xue X, Tang Z. An evolutionary algorithm-based ontology matching system. J Inf Hid Multimedia Signal Process. 2017;8(3):551–6 (High heterogeneity; Matcher combination; Matching system; Ontology matching; Optimal model; Recall and precision; Semantic correspondence; State of the art).
4. Khan ZC, Keet CM. Toward a framework for ontology modularity. In: The proceedings of SAICSIT'15: annual research conference on South African Institute of Computer Scientists and Information Technologists. ACM; 2015. p. 24. https://doi.org/10.1145/2815782.2815819.
5. Algergawy A, Babalou S, Konig-Ries B. A new metric to evaluate ontology modularization. In: SumPre@ ESWC. 2016. Corpus ID: 2064828. http://ceur-ws.org/Vol-1605/paper4.pdf.