Abstract
As a general and challenging task of decisional process in distributed environments, the individual nodes of the network need to exchange specific knowledge in order to achieve their goal. This is the case in distributed instrumentation where a network of intelligent components interact each other to realize some task. A conceptualization of functional knowledge is proposed and we argue that this conceptualization will be represented by ontologies based on mereology and topology. A synthesis of many works in knowledge engineering leads us to propose a knowledge representation with a dual objective. First, it provides instruments designers with a structural and logical framework that allows for easy reuse and secondly, it enable a distributed behavior based on causal representation and on dependencies between functional and behavioral knowledge on each node.
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Dapoigny, R., Benoit, E., Foulloy, L. (2003). Functional Ontology for Intelligent Instruments. In: Zhong, N., Raś, Z.W., Tsumoto, S., Suzuki, E. (eds) Foundations of Intelligent Systems. ISMIS 2003. Lecture Notes in Computer Science(), vol 2871. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39592-8_13
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DOI: https://doi.org/10.1007/978-3-540-39592-8_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20256-1
Online ISBN: 978-3-540-39592-8
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