Process aggregation using web services

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2512, Issue , 2002, Pages 12-27

  Hansen, Mark ^a   Madnick, Stuart ^a   Siegel, Michael ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRONIC COMMERCE; PRODUCTIVITY; SEMANTIC WEB; WEBSITES;

BUSINESS PROCESS; CONTEXT MEDIATION; ECONOMIC ENVIRONMENT; INTEGRATION ARCHITECTURE; PAYMENT MECHANISM; PROCESS INTEGRATION; SYSTEMS DEVELOPMENT; TECHNICAL STANDARDS;

WEB SERVICES;

EID: 84959065669     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36189-8_2     Document Type: Conference Paper

References (17)

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.
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.
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].
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.
5. Hackathorn, R (1999). Web Farming for the Data Warehouse, Morgan Kaufmann Publishers.
6. Goh, C. (1996). Representing and Reasoning about Semantic Conflicts in Heterogeneous Information Systems, PhD Thesis, MIT, June 1996.
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.
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.
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.
10. Siegel, M. and Madnick, S. (1991) “Context Interchange: Sharing the Meaning of Data,” SIGMOD RECORD, Vol. 20, No. 4, December pp. 77-78.
11. Siegel, M. and Madnick, S. (1991) “A Metadata Approach to Solving Semantic Conflicts,” Proceedings of the 17th International Conference on Very Large Data Bases, pages 133-145.
12. Hansen, M., “Changing Terrain: Open middleware standards are redefining EAI and B2B integration”, Intelligent Enterprise, August 10, 2001.
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.
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.
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.
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].
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].