Abstract
The manufacturing sector is currently under pressures to swiftly accommodate new products by quickly setting up new factories or retrofitting existing ones. In order to achieve this goal, engineering tasks currently performed manually need to be automated. In this scenario, ontologies emerge as a candidate solution for representing knowledge about manufacturing processes, equipment, and products in a machine-interpretable way. This knowledge can then be used by automated problem-solving methods to (re)configure the control software that coordinates and supervises manufacturing systems. This chapter reviews current approaches to use ontologies in the manufacturing domain, which include use for vocabulary definition in multi-agent systems and use for describing processes using Semantic Web Services. In addition, current and emerging research trends are identified. © 2009 Springer Berlin Heidelberg.
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CITATION STYLE
Martinez Lastra, J. L., & Delamer, I. M. (2008). Ontologies for production automation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4891 LNCS, pp. 276–289). https://doi.org/10.1007/978-3-540-89784-2_11
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