Evaluation of a Multi-Agent System for the Evolving of Domain Ontologies from Texts

Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 155)

Abstract

Ontologies are one of the most used representation to model the domain knowledge. An ontology consists of a set of concepts connected by semantic relations. Manual ontology building and evolving are difficult and complex tasks. This paper presents DYNAMO, a software based on a Multi-Agent System (MAS) that automates these tasks. Terms and concepts of a given domain are agentified. These agents cooperate to determine their place in the MAS (that is the ontology) thanks to (i) lexical relations between terms, (ii) some adaptive mechanisms enabling addition, removing or moving of new terms, concepts and relations in the ontology as well as (iii) feedbacks from the ontologist about the propositions given by the MAS. This paper presents the architecture of DYNAMO, its mechanisms for ontology evolution and its evaluations.

Keywords

Domain Ontology Candidate Term Ontology Evolution Corpus Analyzer Ontology Engineering 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.IRIT (Institut de Recherche en Informatique de Toulouse)University of ToulouseToulouse cedex 9France

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