Abstract
European industry is in transition process from a mass production industry towards a knowledge-based customer- and service-oriented one. Consequently, networked, knowledge-driven and agile manufacturing systems emerge as key elements towards the future production scenario. In order to automate production tasks also for small production batch and enable uncomplicated system reconfigurations, a holistic knowledge management architecture, which enables knowledge acquisition and retrieval, is needed. Since several heterogeneous technologies and human actors are still involved in the knowledge transfer process interoperability barriers must be overcome. In this paper an ontology-based approach will be described. It enhances Human-Machine Interoperability simplifying the interaction level between them and makes possible automatic knowledge transfer. First trial tests have been performed by means of a natural language interaction system within the automation technology domain.
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Keywords
- Collaborative Network
- Object Management Group
- Virtual Enterprise
- Common Object Request Broker Architecture
- European Industry
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Lepratti, R., Berger, U. (2004). Enhancing Interoperability Through the Ontological Filtering System. In: Camarinha-Matos, L.M. (eds) Virtual Enterprises and Collaborative Networks. PRO-VE 2004. IFIP International Federation for Information Processing, vol 149. Springer, Boston, MA. https://doi.org/10.1007/1-4020-8139-1_20
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DOI: https://doi.org/10.1007/1-4020-8139-1_20
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