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Classification of Knowledge Representation Implementations in the Manufacturing Systems Domain

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

Details

Original languageEnglish
Title of host publicationOpen Knowledge-Driven Manufacturing & Logistics
Subtitle of host publicationThe eScop Approach
EditorsS. Strzelczak, Pavel Balda, Marco Garetti, Andrei Lobov
PublisherWarsaw University of Technology Publishing House
Pages235-244
Number of pages10
ISBN (Print)978-83-7814-440-3
Publication statusPublished - 2015
Publication typeA3 Part of a book or another research book

Abstract

Ontologies are presented as a powerful mechanism for integration of components that are located in different levels of the ISA-95 automation pyramid, which is widely known in the industrial automation domain. Hence, the development of systems that use knowledge representation is a feasible manner for the reduction of efforts, e.g. in vertical communication implementation. This kind of research is challenging because of the quantity of cross-layer information exchange. In fact, as industrial automation systems are, by nature, dynamic, process control components must be capable of adapting fast to changes. Furthermore, reconfiguration of scalable systems can be automated through ontology modeling. This chapter presents an investigation on how representation of knowledge is utilized in different industrial automation developments. In addition, main concepts and requirements for designing knowledge representation implementations are identified and described. Finally, according to this description, a classification of distinct implementations is also presented.

Publication forum classification

Field of science, Statistics Finland