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Multi-agent Conflict Resolution with Trust for Ontology Mapping.

, , and . IDC, volume 162 of Studies in Computational Intelligence, page 275-280. Springer, (2008)

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State of the Art on Ontology Alignment., and . Int. J. Knowl. Soc. Res., 6 (1): 17-42 (2015)Multi-agent Voting for Conflict Resolution - A Fuzzy Approach., and . ICAART (1), page 178-183. INSTICC Press, (2010)Challenges in Ontology Alignment and Solution to the Contradictory Evidence Problem., and . MICAI (1), volume 8265 of Lecture Notes in Computer Science, page 199-216. Springer, (2013)Dealing with Contradictory Evidence Using Fuzzy Trust in Semantic Web Data., and . URSW (LNCS Vol.), volume 7123 of Lecture Notes in Computer Science, page 139-157. Springer, (2013)Experimental Evaluation of Multi-Agent Ontology Mapping Framework., and . AIAI, volume 296 of IFIP Advances in Information and Communication Technology, page 145-150. Springer, (2009)XML related data exchange from the test machine to a web-enabled MAT-DB., , and . Data Sci. J., (2005)Web Application Development for Diabetes Patients., , , , , , , , and . SACI, page 573-580. IEEE, (2024)DSSim Results for OAEI 2009., , and . OM, volume 551 of CEUR Workshop Proceedings, CEUR-WS.org, (2009)A Framework for Detecting and Removing Knowledge Overlaps in a Collaborative Environment., , and . J. Web Eng., 12 (5): 422-438 (2013)Machine learning application development to predict blood glucose level based on real time patient data., , and . RIVF, page 1-6. IEEE, (2020)