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ThinkMind // ICCGI 2015, The Tenth International Multi-Conference on Computing in the Global Information Technology // View article iccgi_2015_2_30_10020
A Semantic Representation for Process-Oriented Knowledge Management to support Production Planning based on Function Block Domain Models and a Three-level Mediator Architecture
 Authors:
Benjamin Gernhardt
Franz Miltner
Tobias Vogel
Holger Brocks
Matthias Hemmje
Lihui Wang Keywords: Function Blocks; DPP; CAPP; Process Planning; Process- oriented Knowledge Management; Knowledge-based Process- oriented Innovation Management Abstract:
Semantic approaches for knowledge representation and management as well as knowledge sharing, access and reuse can support Collaborative Adaptive Production Process Planning (CAPP) in a flexible, efficient and effective way. Therefore, semantic-technology based representations of such CAPP knowledge integrated into a machine readable process formalization is a key enabling factor for sharing such knowledge in cloud-based semantic-enabled knowledge repositories supporting CAPP scenarios as required in the CAPP-4-SMEs project. Beyond that, Small and Medium Enterprises (SMEs) as represented in CAPP-4-SMEs request for a standardized CAPP-oriented product-knowledge- and productionfeature representation. That can be achieved by applying socalled Function Block (FB) based knowledge representation models. Web-based and at the same time Cloud-based technologies, tool suites and application solutions which are based on process-oriented semantic knowledge-representation methodologies, such as Process-oriented Knowledge-based Innovation Management (German: Wissens-basiertes Prozess-orientiertes InnovationsManagement, WPIM) can satisfy these needs. In this way, WPIM can be applied to support the integration and management, as well as the access and re-use in a machine readable and integrated representation of distributed CAPP knowledge. On the other hand that knowledge is shared within a cloud-based centralized semantic-enabled knowledge repository. Furthermore, semantic knowledge representation and querying will add value to the knowledge-based and computeraided re-use of such machine-readable knowledge resources within CAPP activities. Finally, it will pave the way towards further automating planning, simulation and optimization in a semantic-web for CAPP. Pages: 47 to 59 Copyright: Copyright (c) IARIA, 2015 Publication date: October 11, 2015 Published in: conference ISSN: 2308-4529 ISBN: 978-1-61208-432-9 Location: St. Julians, Malta Dates: from October 11, 2015 to October 16, 2015
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