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Cultural knowledge evolution: motivations and experiments

Jerome Euzenat, INRIA
1-2pm  13th Apr 2017


Knowledge, as expressed formally in the ontologies used on the semantic web, is pressured to evolve. This evolution may be approached through detecting and propagating changes. It can also be considered under a more opportunistic strategy of repairing it when it breaks. Cultural evolution refers to the application of the theory of evolution to culture. In informatics, it has been successfully applied to agents evolving natural language and we study its relevance to knowledge evolution. We will report on experiments developed for testing this approach in the domain of ontology alignment repair. Alignments between ontologies may be established through agents holding such ontologies attempting at communicating and taking appropriate actions when communication fails. We show how agents, using very simple adaptation operators for locally modifying their alignments when they detect incorrect correspondences, are able to reach remarkable alignment quality. We will discuss future work along this line.

Short Bio

Jérôme Euzenat is a senior research scientist at INRIA and Université Grenoble Alpes. He holds a PhD and habilitation in computer science, both from Grenoble 1 University. As a researcher in artificial intelligence, he is generally interested in the relationships between different knowledge representations of the same domain. With his colleagues, he has contributed to reasoning maintenance systems, object-based knowledge representation, symbolic temporal granularity, collaborative knowledge base construction, multimedia document adaptation and semantic web technologies. He now leads the mOeX team investigating the application of experimental cultural evolution techniques to knowledge.
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