Improving E-Manufacturing Efficiency through the Ontololigcal Filtering System

Abstract In today's global market scenario enterprises unit building collaborative environments, whereby global manufacturing represents a key issue for ensuring market share. An unequivocal communication form among all involved process agents, i. e. human and machines, constitutes a crucial requirement. Referring to the shop-floor level, this isn't easily achievable due to the different professional and cultural backgrounds of the involved machine operators. In this paper an innovative man-machine interaction concept for simplifying human tasks will be presented. A prototype based on the Ontology Filtering System has been developed. It enables formalisation of natural language instructions for multi-purposes in automation technology. Preliminary trial tests have been performed and show suitability towards a future use in the production field.