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DYNAMO-MAS: a multi-agent system for ontology evolution from text

Sellami, Zied and Camps, Valérie and Aussenac-Gilles, Nathalie DYNAMO-MAS: a multi-agent system for ontology evolution from text. (2013) Journal on Data Semantics, 2 (2-3). 145-161. ISSN 1861-2032

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Official URL: http://dx.doi.org/10.1007/s13740-013-0025-1

Abstract

Manual ontology development and evolution are complex and time-consuming tasks, even when textual documents are used as knowledge sources in addition to human expertise or existing ontologies. Processing natural language in text produces huge amounts of linguistic data that need to be filtered out and structured. To support both of these tasks, we have developed DYNAMO-MAS, an interactive tool based on an adaptive multi-agent system (adaptive MAS or AMAS) that builds and evolves ontologies from text. DYNA-MO-MAS is a partner system to build ontologies; the ontologist interacts with the system to validate or modify its outputs. This paper presents the architecture of DYNAMO-MAS, its operating principles and its evaluation on three case studies.

Item Type:Article
Additional Information:Thanks to Springer Verlag editor. The definitive version is available at http://link.springer.com/article/10.1007%2Fs13740-013-0025-1
HAL Id:hal-01137318
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Funders:
ANR-07-TLOG-004
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Deposited On:30 Mar 2015 13:06

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