Introduction
Building and evolving an ontology are a complex problems: they involve numerous entities (terms, concepts, relations), the environment of the ontology is dynamic (addition of new documents, ontologist’s actions) and we cannot predict all ontology evolution possibilities. That is why a unique entity or system to solve these problems cannot list all the possible situations to which it can be confronted as well as the actions it has to take in such situations. This compels to distribute the problem on several autonomous entities that have a local perception of each situation that can arise during the system functioning and that have simple, generic and local behaviors in order to self-adapt to these situations. We propose in that sense DYNAMO-MAS, a tool based on a Multi-Agent System (MAS) enabling the co-construction and the evolving of an ontology. It takes as input a corpus of texts and provides as output an ontology.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Cimiano, P.: Ontology Learning and Population from Text: Algorithms, Evaluation and Applications. Springer, Heidelberg (2006)
Reymonet, A., Thomas, J., Aussenac-Gilles, N.: Modelling ontological and terminological resources in OWL DL. In: OntoLex 2007 - From Text to Knowledge: The Lexicon/Ontology Interface - Workshop at ISWC 2007, Busan, South Korea (2007)
Sellami, Z., Camps, V.: Evaluation of a multi-agent system for the evolving of domain ontologies from text. In: Demazeau, Y., et al. (eds.) Advances on PAAMS. AISC, vol. 155, pp. 169–179. Springer, Heidelberg (2012)
Sellami, Z., Camps, V., Aussenac-Gilles, N., Rougemaille, S.: Ontology co-construction with an adaptive multi-agent system: Principles and case-study. In: Fred, A., Dietz, J.L.G., Liu, K., Filipe, J. (eds.) IC3K 2009. CCIS, vol. 128, pp. 237–248. Springer, Heidelberg (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sellami, Z., Camps, V. (2012). DYNAMO-MAS: A Multi-Agent System for Building and Evolving Ontologies from Texts. In: Demazeau, Y., Müller, J., Rodríguez, J., Pérez, J. (eds) Advances on Practical Applications of Agents and Multi-Agent Systems. Advances in Intelligent and Soft Computing, vol 155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28786-2_38
Download citation
DOI: https://doi.org/10.1007/978-3-642-28786-2_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28785-5
Online ISBN: 978-3-642-28786-2
eBook Packages: EngineeringEngineering (R0)