Industry – Paper 462

Ontologies and Reasoning to Capture Product Complexity in Automation Industry Stefan Elmer, Foued Jrad, Thorsten Liebig, Anees ul Mehdi, Michael Opitz, Thomas Stauß and Dirk Weidig Industry October 23, 2017, 14:00. Stolz 2 Download paper (preprint)

Abstract

The variety of components and the complexity of technical solutions in factory automation push information management based on relational databases to it’s limits in terms of maintenance complexity and usage flexibility. Semantic Technologies account for maintainable, comprehensible and rich schema descriptions as well as state-of-the-art reasoning and SPARQL engines claim to deliver compelling performance. In the following we briefly report on applying ontologies and reasoning for managing complex product data in the automation domain.