PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Ontology mapping: the state of the art
The Knowledge Engineering Review
Ontology Based Context Modeling and Reasoning using OWL
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
An ontology for context-aware pervasive computing environments
The Knowledge Engineering Review
A framework for building adaptive mobile agents
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Human-Computer Interaction
FCA-MERGE: bottom-up merging of ontologies
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
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Mobile agents' applications have to operate within environments having continuously changing execution conditions that are not easily predictable They have to dynamically adapt to changes in their context resulting from other's activities and resources variation To be aware of their execution context, mobile agents require a formal and structured model of the context and a reasoning process for detecting suspect situations In this work, we use formal ontologies to model the agents' execution context as well as its composing elements After each agent migration, a reasoning process is carried out upon these ontologies to detect meaningful environmental changes This reasoning is based on semantic web techniques for mapping ontologies The output of the mapping process is a set of semantic relations among the ontologies concepts that will be used by the agent to trigger a reconfiguration of its structure according to some adaptation policies.