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A Semantic Representation for Process-Oriented Knowledge Management to Support Production Planning based on Function Block Domain Models and a Three-level Mediator Architecture
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2015 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Semantic knowledge representation, management, sharing, access, and re-use approaches can support collaborative production planning in a flexible and efficient as well as an effective way. Therefore, semantic-technology based representations of Collaborative Production Process Planning (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 CAPP4SMES project [1]. Beyond that, Small and Medium Enterprises (SMEs) as represented in CAPP4SMES request for a standardized CAPP-oriented product-knowledge- and production-feature representation that can be achieved by applying function-block based knowledge representation models. Semantic Web- 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 Prozesess-orientiertes Innovationsmanagement, WPIM) [2] can satisfy these needs, supporting the semantic integration, management, access and re-use in a machine readable and integrated representation of distributed CAPP knowledge that is shared within a cloud-based centralized semantic-enabled knowledge repository. Furthermore semantic knowledge representation and querying add value to knowledge-based and computer-aided re-use of such knowledge within CAPP activities and, finally, pave the way towards further automating planning, simulation and optimization support in a semantic web for CAPP.

Place, publisher, year, edition, pages
International Academy, Research and Industry Association (IARIA), 2015.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-205920OAI: oai:DiVA.org:kth-205920DiVA, id: diva2:1090731
Conference
Proceedings of the 10th International Multi-Conference on Computing in the Global Information Technology
Note

QC 20170427

Available from: 2017-04-25 Created: 2017-04-25 Last updated: 2017-05-03Bibliographically approved

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https://www.iaria.org/conferences2015/ICCGI15.html

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Wang, Lihui

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf