Abstract
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.
An erratum to this chapter can be found at http://dx.doi.org/10.1007/11915072_109.
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Zargayouna, H., Amara, N. (2006). LiteMap: An Ontology Mapping Approach for Mobile Agents’ Context-Awareness. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops. OTM 2006. Lecture Notes in Computer Science, vol 4278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11915072_101
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DOI: https://doi.org/10.1007/11915072_101
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