Establishing agent trust for contradictory evidence by means of fuzzy voting model: An ontology mapping case study
| Autor: | Miklos Nagy, Maria Vargas-Vera |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
business.industry
Computer science End user media_common.quotation_subject Multi-agent system Ontology-based data integration Fuzzy logic Human-Computer Interaction Arts and Humanities (miscellaneous) Voting Upper ontology Semantic integration Artificial intelligence business Semantic Web General Psychology media_common |
| Zdroj: | Computers in Human Behavior. 30:745-752 |
| ISSN: | 0747-5632 |
| DOI: | 10.1016/j.chb.2013.10.032 |
| Popis: | This paper introduces a novel trust assessment formalism for contradicting evidence in the context of multi-agent ontology mapping. Evidence combination using the Dempster rule tend to ignore contradictory evidence and the contemporary approaches for managing these conflicts introduce additional computation complexity i.e. increased response time of the system. On the Semantic Web, ontology mapping systems that need to interact with end users in real time cannot afford prolonged computation. In this work, we have made a step towards the formalisation of eliminating contradicting evidence, to utilise the original Dempster's combination rule without introducing additional complexity. Our proposed solution incorporates the fuzzy voting model to the Dempster-Shafer theory. Finally, we present a case study where we show how our approach improves the ontology mapping problem. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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