Data mining-based approach for ontology matching problem
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/content/pdf/10.1007/s10489-019-01593-3.pdf
Reference59 articles.
1. Smith B, Ashburner M, Rosse C, Bard J, Bug W, Ceusters W, et al. (2007) The OBO foundry: coordinated evolution of ontologies to support biomedical data integration. Nat Biotechnol 25(11):1251
2. Cerón-Figueroa S, López-Yáñez I, Alhalabi W, Camacho-Nieto O, Villuendas-Rey Y, Aldape-Pérez M, et al. (2017) Instance-based ontology matching for e-learning material using an associative pattern classifier. Comput Human Behav 69:218–225
3. Iwata T, Kanagawa M, Hirao T, Fukumizu K (2017) Unsupervised group matching with application to cross-lingual topic matching without alignment information. Data Mining Knowl Discov 31(2):350–370
4. De Meo P, Quattrone G, Rosaci D, Ursino D, et al. (2012) Bilateral semantic negotiation: a decentralised approach to ontology enrichment in open multi-agent systems. IJDMMM 4(1):1–38
5. Garruzzo S, Quattrone G, Rosaci D, Ursino D (2011) Improving agent interoperability via the automatic enrichment of multi-category ontologies. Web Intell Agent Syst: Int J 9(4):291–318
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