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P-time external PhD Research Student
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My research is about the application of uncertain reasoning (Dempster-Shafer theory) for data integration in multi-agent query answering system on the Semantic Web. The main research objective of my project is to investigate the level of machine intelligence multi agent systems can exhibit on the Semantic Web.

Keys: ontology mapping, uncertain reasoning, knowledge management, question answering

News

Publications

Vargas-Vera, M. and Nagy, M. (2015). Experiences on the Evaluation of DSSim: A Multi-Agent Ontology Mapping System. International Journal of Knowledge Society Research, 6(2), pp. 20–50. https://oro.open.ac.uk/51951/.

Vargas-Vera, M. and Nagy, M. (2015). Architecture of DSSim. International Journal of Knowledge Society Research, 6(2), pp. 65–82. https://oro.open.ac.uk/51931/.

Vargas-Vera, M. and Nagy, M. (2015). State of the Art on Ontology Alignment. International Journal of Knowledge Society Research, 6(1), pp. 17–42. https://oro.open.ac.uk/51930/.

Nagy, M., Vargas-Vera, M. and Motta, E. (2008). Managing conflicting beliefs with fuzzy trust on the Semantic Web. In: The 7th Mexican International Conference on Artificial Intelligence (MICAI 2008), 27-31 Oct 2008, Mexico City, Mexico. https://oro.open.ac.uk/23486/.

Tech Reports

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Probabilistic Methods for Data Integration in a Multi-Agent Query Answering System
Techreport ID: kmi-08-05
Date: 2008
Author(s): Miklos Nagy, Maria Vargas-Vera, Enrico Motta

View AbstractDownload PDF

Probabilistic Methods for Data Integration in a Multi-Agent Query Answering System
Techreport ID: kmi-06-08
Date: 2006
Author(s): Miklos Nagy, Maria Vargas-Vera, Enrico Motta

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Ontology Mapping with domain specific agents in the AQUA Question Answering system
Techreport ID: kmi-05-03
Date: 2005
Author(s): Miklos Nagy, Maria Vargas-Vera, Enrico Motta

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