Controlling cooperative problem solving in industrial multi-agent systems using joint intentions
Artificial Intelligence
Multiagent Systems: A Survey from a Machine Learning Perspective
Autonomous Robots
Promptdiff: a fixed-point algorithm for comparing ontology versions
Eighteenth national conference on Artificial intelligence
Ontology evolution as reconfiguration-design problem solving
Proceedings of the 2nd international conference on Knowledge capture
Managing Ontology Changes on the Semantic Web
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Dynamic Ontology Integration in a Multi-agent Environment
AINA '06 Proceedings of the 20th International Conference on Advanced Information Networking and Applications - Volume 01
Approach and tool to evolve ontology and maintain its coherence
International Journal of Metadata, Semantics and Ontologies
ONTO-EVOAL an ontology evolution approach guided by pattern modeling and quality evaluation
FoIKS'10 Proceedings of the 6th international conference on Foundations of Information and Knowledge Systems
Hi-index | 0.00 |
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.