Advertisement

Intelligent Business Transaction Agents for Cross-Organizational Workflow Definition and Execution

  • Mohammad Saleem
  • Paul W. H. Chung
  • Shaheen Fatima
  • Wei Dai
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 340)

Abstract

Business organizations seldom work in isolation; effective interaction and cooperation between different organizations is essential for the success of any organization. In order to work together, organizations must have compatible workflows. This paper proposes a framework for automatically creating compatible workflows from high level requirements given by organizations that intend to work together. The framework uses intelligent agents [1] for the creation and execution of workflows. The proposed framework is different from existing systems as they focus on collaboration by modifying existing workflows. The proposed framework will enable organizations to avoid the time consuming task of creating a workflow and then ensuring that it is compatible with every organization it interacts with.

Keywords

Cross-Organizational Workflow Collaboration Web Service Composition Workflow Generation 

References

  1. 1.
    Jennings, N.R.: An agent-based approach for building complex software systems. Communications of the ACM 44(4), 35–41 (2001)CrossRefGoogle Scholar
  2. 2.
    Workflow Management Coalition: Terminology & Glossary. Technical Report WFMC-TC-1011 (1999)Google Scholar
  3. 3.
    Yang, J., Papazoglou, M.: Interoperation Support for Electronic Business. Communication of the ACM 43(6), 39–47 (2000)CrossRefGoogle Scholar
  4. 4.
    Chen, X., Chung, P.W.H.: Facilitating B2B E-Business by IT-Supported Business Process Negotiation Services. In: Proceedings of the 2008 IEEE International Conference on Service Operations and Logistics and Informatics, pp. 2800–2805 (2008)Google Scholar
  5. 5.
    Schulz, K., Orlowska, M.: Facilitating cross-organizational workflows with a workflow view approach. Data and Knowledge Engineering 51(1), 109–147 (2004)CrossRefGoogle Scholar
  6. 6.
    Chiu, D.K.W., Cheung, S.C., Karlapalem, K., Li, Q., Till, S., Kafeza, E.: Workflow View Driven Cross-Organizational Interoperability in a Web-Services Environment. Information Technology and Management 5, 221–250 (2004)CrossRefGoogle Scholar
  7. 7.
    Dong, X., Wild, D.: An Automatic Drug Discovery Workflow Generation Tool using Semantic Web Technologies. In: Proceedings of Fourth IEEE International Conference on eScience, pp. 652–657 (2008)Google Scholar
  8. 8.
    Chen, X., Yang, L.: Applying AI Planning to Semantic Web Services for Workflow Generation. In: Proceedings of the First International Conference on Semantics, Knowledge and Grid. IEEE Computer Society, Washington (2005)Google Scholar
  9. 9.
    Nau, D., Muñoz-Avila, H., Cao, Y., Lotem, A., Mitchell, S.: Total-order planning with partially ordered subtasks. In: IJCAI 2001, Seattle (2001)Google Scholar
  10. 10.
    Nau, D., Au, T., Ilghami, O., Kuter, U., Murdock, J., Wu, D., Yaman, F.: SHOP2: An HTN planning system. Journal of Artificial Intelligence Research, 379–404 (2003)Google Scholar
  11. 11.
    Sirin, E., Parsia, B., Wu, D., Hendler, J., Nau, D.: HTN planning for web service composition using SHOP2. Journal of Web Semantics 1(4), 377–396 (2004)Google Scholar
  12. 12.
    Au, T.C., Nau, D., Subrahmanian, V.S.: Utilizing Volatile External Information during Planning. In: Proceedings of the European Conference on Artificial Intelligence (ECAI), pp. 647–651 (2004)Google Scholar
  13. 13.
    OWL Services Coalition: OWL-S: Semantic markup for web services (2003), http://www.daml.org/services/owl-s/1.0/
  14. 14.
  15. 15.
    Sirin, E., Hendler, J., Parsia, B.: Semi-automatic composition of Web services using semantic descriptions. In: Proceedings of Web Services: Modeling, Architecture and Infrastructure Workshop in Conjunction with ICEIS (2003)Google Scholar
  16. 16.
    Wang, S.Y., Shen, W.M., Hao, Q.: An agent-based Web service workflow model for inter-enterprise collaboration. Expert System with Applications, 787–799 (2006)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2010

Authors and Affiliations

  • Mohammad Saleem
    • 1
  • Paul W. H. Chung
    • 1
  • Shaheen Fatima
    • 1
  • Wei Dai
    • 2
  1. 1.Computer Science DepartmentLoughborough UniversityLoughboroughUK
  2. 2.School of Information SystemsVictoria UniversityMelbourne City MCAustralia

Personalised recommendations