Abstract
Traditionally autonomous agents communicate each other using a predefined set of communication primitives implicitly encoded inside the agent protocol. Nowadays, there are various research efforts for automating the deployment of agents in open environments such as Internet. Considering the existence of multiple heterogeneous agents, independently developed and deployed on the Web, the challenge is to achieve interoperability at the communication level, reducing the number of communication errors caused by differences in syntax and semantics of their particular languages implementations. Currently, to support communication interoperability, agent owners must redesign communication syntax and deploy manually their agents, which results in a tedious, time consuming and costly task. To solve this problem we propose an Ontology-based approach for discovering semantic relations between agent communication protocols, which considers the description of primitives and their pragmatics. We present a case study to show the applicability of our approach, and implemented a communication environment to evaluate the resulting set of relations in the Ontology. Results show that our approach reduces the level of heterogeneity among participating agents.
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Bravo, M., Velázquez, J. (2008). An Ontology-Based Approach for Discovering Semantic Relations between Agent Communication Protocols. In: Meersman, R., Tari, Z. (eds) On the Move to Meaningful Internet Systems: OTM 2008. OTM 2008. Lecture Notes in Computer Science, vol 5332. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88873-4_41
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DOI: https://doi.org/10.1007/978-3-540-88873-4_41
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