Advertisement

Supporting Adaptive Enterprise Collaboration through Semantic Knowledge Services

  • Keith Popplewell
  • Nenad Stojanovic
  • Andreas Abecker
  • Dimitris Apostolou
  • Gregoris Mentzas
  • Jenny Harding

Abstract

The next phase of enterprise interoperability will address the sharing of knowledge within a Virtual Organisation (VO) to the mutual benefit of all VO partners. Such knowledge will be a driver for new enhanced collaborative enterprises, able to achieve the global visions of enterprise interoperability. This paper outlines the approach to be followed in the SYNERGY research project which envisages the delivery of Collaboration Knowledge services through interoperability service utilities (ISUs): trusted third parties offering web-based, pay-on-use services. The aim of SYNERGY is to enhance support of the networked enterprise in the successful, timely creation of, and participation in, collaborative VOs by providing an infrastructure and services to discover, capture, deliver and apply knowledge relevant to collaboration creation and operation. The proposed approach aims to (a) provide semantic ontology-based modelling of knowledge structures on collaborative working; (b) develop a service-oriented self-adaptive solution for knowledgebased collaboration services; and (c) facilitate the testing and evaluation of the efficiency and effectiveness of the solution in concrete case studies.

Keywords

enterprise interoperability semantic web knowledge services knowledge management trust virtual organisation 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    Abecker A.: Business Process Oriented Knowledge Management — Concepts, Methods and Tools. Phd Thesis, University of Karlsruhe (2003)Google Scholar
  2. [2]
    Chai, C.S., Khine, M.S.:. An Analysis of Interaction and Participation Patterns in Online Community. Education Technology & Society, 9(1):250–261 (2006)Google Scholar
  3. [3]
    Cutting-Decelle, A.-F., Young, B.I., Das, B.P., Case K., et al: A Review of Approaches to Supply Chain Communications: From Manufacturing to Construction. Itcon, vol. 12, pp 73–102 (2007)Google Scholar
  4. [4]
    den Hengst, M., Adkins, M.: Which Collaboration Patterns are Most Challenging: A Global Survey of Facilitators. In: Proc. 40th Hawaii Int. Conf. on System Sciences (2007)Google Scholar
  5. [5]
    European Commission: Enterprise Interoperability: A Concerted Research Roadmap for Shaping Business Networking in the Knowledge-based Economy (2006)Google Scholar
  6. [6]
    Gaines, B.R., Norrie, D.H., Lapsley, A.Z.: Mediator: An Intelligent Information System Supporting the Virtual Manufacturing Enterprise. In: Proc. 1995 IEEE Int. Conf. on Systems, Man and Cybernetics, pp. 964–969 (1995)Google Scholar
  7. [7]
    Gruber, T.R.: Towards Principles for the Design of Ontologies used for Knowledge Sharing. Int. J. of Human-Computer Studies, vol. 43, pp.907–928 (1993)CrossRefGoogle Scholar
  8. [8]
    Harding, J.A., Popplewell, K.: Driving Concurrency in a Distributed Concurrent Engineering Project Team: A Specification for an Engineering Moderator. Int. J. of Production Research, 34(3):841–861 (1996)zbMATHCrossRefGoogle Scholar
  9. [9]
    Henninger, S. Maurer, F.: Advances in Learning Software Organizations: 4th Int. Workshop (LSO 2002). Springer, Heidelberg, 2002.Google Scholar
  10. [10]
    Huang, G. Q.: Web Based Support For Collaborative Product Design Review. Int. J. of Computers in Industry, 48(1):71–88 (2002)CrossRefGoogle Scholar
  11. [11]
    Lin, H.K., Harding, J.A.: A Manufacturing System Engineering Web Ontology Model on the Semantic Web for Inter-Enterprise Collaboration. Int. J. of Computers in Industry, 58(5):428–437 (2007)CrossRefGoogle Scholar
  12. [12]
    Martin, D., Domingue, J.: Semantic Web Services, Part 1. IEEE Intelligent Systems, September/October, pp. 12–17 (2007)Google Scholar
  13. [13]
    Mentzas, G., Apostolou. D., Abecker, A., Young, R.: Knowledge Asset Networking: A Holistic Approach for Leveraging Corporate Knowledge”, Springer, Heidelberg (2002)Google Scholar
  14. [14]
    Mentzas G., Kafentzis, K., Georgolios, G.: Knowledge Services on the Semantic Web. Comm. of the ACM, 50(10):53–58 (2007)CrossRefGoogle Scholar
  15. [15]
    Moody, P., Gruen, D., Muller, M.J., Tang, J., Moran T.P.: Business Activity Patterns: A New Model for Collaborative Business Applications. IBM Systems Journal 45(4):683–694 (2006)CrossRefGoogle Scholar
  16. [16]
    Mostefai, S., Bouras, A., Batouche, M.: Effective Collaboration in Product Development via a Common Sharable Ontology. Int. J. of Computational Intelligence, 2(4):206–216 (2005)Google Scholar
  17. [17]
    Pattberg, J., Fluegge, M.: Towards an Ontology of Collaboration Patterns. In: Proceedings of Challenges in Collaborative Engineering 07 (2007)Google Scholar
  18. [18]
    Remus, U.: Integrierte Prozess-und Kommunikationsmodellierung zur Verbesserung von wissensintensiven Geschäftsprozessen. In: Abecker, A., Hinkelmann, K., Maus, H., Müller, H.-J. (eds): Geschäftsprozessorientiertes Wissensmanagement, pp. 91–122. Springer, Heidelberg (2002). In German.Google Scholar
  19. [19]
    Studer, R., Grimm, S., Abecker, A.: Semantic Web Services. Concepts, Technologies, and Applications. Springer, Heidelberg (2007)Google Scholar
  20. [20]
    Ulieru, M., Norrie, D., Kremer, R., Shen, W.,: A Multi-Resolution Collaborative Architecture for Web-Centric Global Manufacturing. Information Sciences 127, 3–21 (2000)CrossRefGoogle Scholar
  21. [21]
    van der Aalst, W.M.P., ter Hofstede, A.H.M., Kiepuszewski, B., Barros, A.P.: Workflow Patterns. Distributed and Parallel Databases, 14(3):5–51 (2003)CrossRefGoogle Scholar
  22. [22]
    Young, R.I.M., Gunendran, A.G., Cutting-Decelle, A.-F., Gruninger, M.: Manufacturing Knowledge Sharing in PLM: A Progression Towards the Use of Heavy Weight Ontologies. Int. J. of Production Research, 45(7):1506–1619 (2007)Google Scholar
  23. [23]
    Zhou, L., Nagi, R.: Design of Distributed Information Systems for Agile Manufacturing Virtual Enterprises Using CORBA and STEP Standards. J. of Manufacturing Systems, 2(1):14–31 (2002)CrossRefGoogle Scholar
  24. [24]
    ATHENA Project Public Website: http://www.athena-ip.org/Google Scholar

Copyright information

© Springer-Verlag London Limited 2008

Authors and Affiliations

  • Keith Popplewell
    • 1
  • Nenad Stojanovic
    • 2
  • Andreas Abecker
    • 2
  • Dimitris Apostolou
    • 3
  • Gregoris Mentzas
    • 3
  • Jenny Harding
    • 4
  1. 1.Coventry UniversityCoventryUK
  2. 2.Forschungszentrum InformatikKarlsruheGermany
  3. 3.Institute of Communication and Computer SystemsAthensGreece
  4. 4.Loughborough UniversityLoughborough, LeicestershireUK

Personalised recommendations