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Corporate semantic web evolution: an approach based on multi-agent system

Published: 28 October 2013 Publication History

Abstract

In order to capture, share, reuse and better facilitate the access to knowledge, organisations set up a knowledge management system. In the context of corporate semantic web, documents are the main source of knowledge and ontologies are the main issue to describe domain's knowledge. However, the environment of organizations is widely known heterogeneous, distributed and evolutive. The main challenge consists of the capture of this environment evolution to satisfy the dynamic experts 'needs and requirements. Indeed, to apply changes to one of components (document, and ontology) involves the evolution of the Corporate Semantic Web. In the context of intranet, the employees share the documents and reuse them to write others. Every document is bound to ontological entities. In this paper, we present an approach to manage dynamically changes. We use a cooperative multi-agent system. The evolution process is distributed in the different agents. Each of them has a particular role.

References

[1]
Noy, N. F., Musen, M. 2002. PROMPTDIFF: A fixed-point algorithm for comparing ontology versions. In Proceedings of the 18th National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, Canada.
[2]
Stojanovic, L., Maedche, M., Stojanovic, N., Studer, R. 2003 Ontology evolution as reconfiguration design problem solving. In Proceedings of the 2nd International Conference on Knowledge CAPture K-CAP'03, 162--171.
[3]
Stojanovic, L., 2004. Methods and Tools for Ontology Evolution, PhD thesis, University Karlsruhe.
[4]
Klein, M., Noy, M. 2003. A component based framework for ontology evolution. In Workshop on Ontologies and distributed System, IJCAI'03, Mexico.
[5]
Klein, M., 2004. Change Management for Distributed Ontologies. PhD thesis, University of Amsterdam.
[6]
Djedidi, R., Aufaure, M. A. 2010. Onto-Evo an Ontology Evolution Approach Guided by Pattern Modelling and Quality Evaluation,. In the 6th International Symposium on Foundations of Information and Knowledge Systems, LNCS: Vol. 5956, G. Berlin, Germany: Springer, 268--305.
[7]
Luong, P-H., Dieng-Kuntz, R. et Boucher, A. 2006. Managing semantic annotations evolution in the CoSWEM system. Proceedings of the Third National Symposium on Research, Development and Application of Information and Communication Technology, Hanoi (Vietnam), 215--223.
[8]
Rogozan, D., Paquette, G., 2005. Managing ontology changes in the semantic web, In the IEEE/WIC/ACM International Conference on Web Intelligence, Compiegne, France
[9]
Jaziri, W., Sassi, N., Gargouri, F. 2010. Approach and tool to evolve ontology and maintain its coherence. Metadata Semantic and Ontologies, vol. 5, 151--166.
[10]
Zablith, F., Sabou, M., d'Aquin M., and Motta, E. 2008. Using background knowledge for Ontology evolution, 2008. In International Workshop on Ontology Dynamics (IWOD) at the International Semantic Web Conference (ISWC), Karlsruhe, German.
[11]
Freddo, A. R., Tacla, C. A. 2009. Integrating social web with semantic web-Ontology learning and ontology evolution from folksonomies, In International Conference on Knowledge Engineering and Ontology Development, Portugal, 247--253.
[12]
Touhami, R., Buche, P., Dibie-Barthélemy, J., Ibanescu, L. 2013. Évolution d'une ontologie dédiée à la représentation de relations n-aires. Revue des nouvelles technologies de l'information, Volume Extraction et gestion des connaissances RNTI-E-24, 413--418.
[13]
Stone, P., Veloso, M. 2000. Multiagent Systems: Survey from a Machine Learning Perspective, In Autonomous Robotics, vol. 8, 345--383.
[14]
Jennings, N. 1995. Controlling cooperative problem solving in industrial multi-agent systems using joint intentions. Artificial Intelligence.
[15]
Gandon, F. 2002. Distributed Artificial Intelligence and Knowledge Management: Ontologies and multi-agent systems for a corporate semantic web, PhD Thesis INRIA.
[16]
Sellami, Z., Camps, V. 2012. Evaluation of a multi-agent system for the evolving of domain ontologies from text. In proceedings of International Conference on Practical Applications of Agents and Multiagent Systems (PAAMS 2012), Salamanca, 169--179.
[17]
Deen, S. M., Ponnamperuma, K. 2006. Dynamic ontology integration in a multi-agent environment. In 20th International Conference on Advanced Information Networking and Application AINA'06.
[18]
Boulanger, D., Disson, E., Dubois, G. 2000. Object Oriented Metadata for Secured Cooperation of Legacy Information Systems. In International Workshop on Model Engineering IWME'00, 14th European Conference on Object Oriented Programming, Sophia-Antipolis and Cannes, France, 75--82.
[19]
Talens, G., Boulanger, D. 2009. Domain evolution ontology by versioning. In Proceedings of the 5th International Conference on Agents and Artificial Intelligence -- ICAART'09, Porto, Portugal, 185--190.
[20]
Slimani, S., Benslimane, D., Baina, S., Baina, K. 2011. Ontology evolution management for semantic web services cooperation. International journal of electronic business management, Volume 9, 310--321.
[21]
Chamekh, F., 2012. Evolution d'un web sémantique d'entreprise à l'aide d'ontologies dynamiques et de systéme multi-agent. Les actes de la 30éme congrès INFormatique des ORganisations et Systèmes d'Information et de Décision (INFORSID), Montpellier, France, 667-574.
[22]
Chamekh, F., Talens, G., Boulanger, D., 2013. Ontology evolution in the corporate semantic web. In Proceedings of the 15th International Conference on Entreprise Information Systems (ICEIS), Angers, France, 142--150.
[23]
Jaccard, P. 1901. Étude comparative de la distribution florale dans une portion des Alpes et des Jura. Bulletin de la Société Vaudoise des Sciences Naturelles, vol. 37, 547--579.
[24]
Levenshtein, V. 1966. Binary codes capable of correcting deletion, insertions, and reversals. Soviet Physics Doklady, vol. 10, n° 8, 707--710.
[25]
Damerau, F., Hirano, M., Oka, K., and Tagawa, Y. 1971 Markov Models & Linguistic Theory, The Hague Mouton.

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  1. Corporate semantic web evolution: an approach based on multi-agent system

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    cover image ACM Other conferences
    MEDES '13: Proceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems
    October 2013
    358 pages
    ISBN:9781450320047
    DOI:10.1145/2536146
    • Conference Chairs:
    • Latif Ladid,
    • Antonio Montes,
    • General Chair:
    • Peter A. Bruck,
    • Program Chairs:
    • Fernando Ferri,
    • Richard Chbeir
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • LBBC: Luxembourg Brazil Business Council
    • IPv6 Luxembourg Council: Luxembourg IPv6 Council
    • Luxembourg Green Business Awards 2013: Luxembourg Green Business Awards 2013
    • LUXINNOVATION: Agence Nationale pour la Promotion de l Innovation et de la Recherche
    • Pro Newtech: Pro Newtech
    • CTI: Centro de Tecnologia da Informação Renato Archer

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    New York, NY, United States

    Publication History

    Published: 28 October 2013

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    Author Tags

    1. document classification
    2. multi agent system
    3. ontology evolution

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    MEDES '13
    Sponsor:
    • LBBC
    • IPv6 Luxembourg Council
    • Luxembourg Green Business Awards 2013
    • LUXINNOVATION
    • Pro Newtech
    • CTI

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    MEDES '13 Paper Acceptance Rate 56 of 122 submissions, 46%;
    Overall Acceptance Rate 267 of 682 submissions, 39%

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