Authors:
Dominique Renaud
;
Cecilia Zanni-Merk
and
François Rousselot
Affiliation:
INSA Strasbourg, France
Keyword(s):
Expert systems, Ontology engineering, Intelligent multi-agent systems, Ontology sharing and reuse, Ontology matching and alignment.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Data Engineering
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Expert Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Ontology Matching and Alignment
;
Ontology Sharing and Reuse
;
Software Engineering
;
Symbolic Systems
Abstract:
This article reports our works on a strategy for results aggregation coming from a multi agent system. Each set of results is related to a specific ontology. The application is the organisation analysis of Small and Medium Enterprises. In this context, different knowledge bases are used. Depending on their origin, the different KB may be close, complementary and sometimes contradictory. The proposed approach uses a strategy based on two key ideas. The first one is general and aims at selecting a combining method of ontologies and the second one is focused on the selection and combining of sub-parts of ontologies. The combination of these two strategies should improve the understanding of the results produced by the multi agent system.