Skip to main content

Process Aggregation Using Web Services

  • Conference paper
  • First Online:
Web Services, E-Business, and the Semantic Web (WES 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2512))

Abstract

This paper examines the opportunities and challenges related to data and process integration architectures in the context of Web Services. A primary goal of most enterprises in today’s economic environment is to improve productivity by streamlining and aggregating business processes. This paper illustrates how integration architectures based on Web Services offer new opportunities to improve productivity that are expedient and economical. First, the paper introduces the technical standards associated with Web Services and provides business example for illustration. Abstracting from this example, we introduce a concept we call Process Aggregation that incorporates data aggregation and workflow to improve productivity. We show that Web Services will have a major impact on Process Aggregation, making it both faster and less expensive to implement. Finally, we suggest some research directions relating to the Process Aggregation challenges facing Web Services that are not currently being addressed by standards bodies or software vendors. These include context mediation, trusted intermediaries, quality and source selection, licensing and payment mechanisms, and systems development tools.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Madnick, S (1999). “Metadata Jones and the Tower of Babel: The Challenge of Large-Scale Semantic Heterogeneity”, Proc. IEEE Meta-Data Conf., April 1999.

    Google Scholar 

  2. Madnick, S. (2001). “The Misguided Silver Bullet: What XML will and will NOT do to help Information Integration”, Proceedings of the Third International Conference on Information Integration and Web-based Applications and Services (IIWAS2001), September 2001.

    Google Scholar 

  3. Madnick, S., Siegel, M. Frontini, M., Khemka, S., Chan, S., and Pan, H., “Surviving and Thriving in the New World of Web Aggregators”, MIT Sloan Working Paper #4138, October 2000 [CISL #00-07].

    Google Scholar 

  4. Bressan, S., Goh, C., Levina, S., Madnick, S., Shah, A., and Siegel, M., “Context Knowledge Representation and Reasoning in the Context Interchange System”, Applied Intelligence (13:2), Sept. 2000, pp. 165–179.

    Google Scholar 

  5. Hackathorn, R (1999). Web Farming for the Data Warehouse, Morgan Kaufmann Publishers.

    Google Scholar 

  6. Goh, C. (1996). Representing and Reasoning about Semantic Conflicts in Heterogeneous Information Systems, PhD Thesis, MIT, June 1996.

    Google Scholar 

  7. Goh, C., Bressan, S., Madnick, S., and Siegel, M. (1999). “Context Interchange: New Features and Formalisms for the Intelligent Integration of Information,” ACM Transactions on Office Information Systems, July 1999.

    Google Scholar 

  8. Goh, C., Bressan, S., Levina, S., Madnick, S., Shah, A., and Siegel, M. (2000). “Context Knowledge Representation and Reasoning in the Context of Applied Intelligence,” The International Journal of Artificial Intelligence, Neural Networks, and Complete Problem-Solving Technologies, Volume 12, Number 2, Sept. 2000, pp. 165–179.

    Google Scholar 

  9. Goh, C., Madnick, S., and Siegel, M. (1994). “Context Interchange: Overcoming the Challenges of Large-Scale Interoperable Database Systems in a Dynamic Environment,” Proceedings of the Third International Conference on Information and Knowledge Management, pages 337–346, Gaithersburgh MD.

    Google Scholar 

  10. Siegel, M. and Madnick, S. (1991) “Context Interchange: Sharing the Meaning of Data,” SIGMOD RECORD, Vol. 20, No. 4, December pp. 77–78.

    Article  Google Scholar 

  11. Siegel, M. and Madnick, S. (1991) “A Metadata Approach to Solving Semantic Conflicts,” Proceedings of the 17 th International Conference on Very Large Data Bases, pages 133–145.

    Google Scholar 

  12. Hansen, M., “Changing Terrain: Open middleware standards are redefining EAI and B2B integration”, Intelligent Enterprise, August 10, 2001.

    Google Scholar 

  13. Moulton, A., Bressan, S., Madnick, S. and Siegel, M., “An Active Conceptual Model for Fixed Income Securities Analysis for Multiple Financial Institutions,” Proc. ER 1998, pp. 407–420.

    Google Scholar 

  14. Grosof, B. and Labrou, Y., “An Approach to using XML and a Rule-based Content Language with an Agent Communication Language.” In Frank Dignum and Mark Greaves, editors, Issues in Agent Communication. Springer-Verlag, 2000.

    Google Scholar 

  15. Grosof, B., “Standardizing XML Rules: Preliminary Outline of Invited Talk”, Proceedings of the IJCAI-01 Workshop on E-business and the Intelligent Web, edited by Alun Preece, August 5, 2001.

    Google Scholar 

  16. Chen, X., Funk, J., Madnick, S., and Wang, R., “Corporate Household Data: Research Directions”, Proceedings of the Americans Conference on Information Systems (AMCIS, Boston), August 2001 [SWP #4166, CISL WP #01-03, TDQM WP#2001-08].

    Google Scholar 

  17. Madnick, S., Wang, R., Dravis, F., and Chen, X., “Improving the Quality of Corporate Household Data: Current Practices and Research Directions”, Proceedings of the Sixth International Conference on Information Quality (IQ2001, Cambridge), November 2001, pp. 92–104 [CISL #01-10].

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hansen, M., Madnick, S., Siegel, M. (2002). Process Aggregation Using Web Services. In: Bussler, C., Hull, R., McIlraith, S., Orlowska, M.E., Pernici, B., Yang, J. (eds) Web Services, E-Business, and the Semantic Web. WES 2002. Lecture Notes in Computer Science, vol 2512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36189-8_2

Download citation

  • DOI: https://doi.org/10.1007/3-540-36189-8_2

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00198-0

  • Online ISBN: 978-3-540-36189-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics