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CREAM: A Mediator Based Environment for Modeling and Accessing Distributed Information on the Web

  • Sudha Ram
  • Jinsoo Park
  • Yousub Hwang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2405)

Abstract

The proliferation of the Internet has led to increasing semantic heterogeneity on the World Wide Web. Networking technology provides physical connectivity, but it does not ensure meaningful data exchange. Therefore, semantic interoperability among heterogeneous information sources continues to pose enormous challenges to the database and other communities. Consequently, cooperation of metadata, ontologies, and mediators is becoming even more important in achieving semantic interoperability; mediators collect information from heterogeneous and autonomous sources and resolve semantic conflicts by referring to metadata and ontologies. Based on the mediator approach, we have implemented a Conflict Resolution Environment for Autonomous Mediation (CREAM) system. The system provides various user groups (e.g., end-users and information integrators) with an integrated and collaborative facility for achieving semantic interoperability among the participating heterogeneous information sources. The detailed description of a theoretical framework for semantic conflict detection and resolution methodology can be found in [1]. Our major contribution is that our system automatically understands and resolves a large number of semantic and syntactic conflicts among heterogeneous databases. We have tried to minimize the burden on the end users and database administrators while trying to automate the heterogeneous conflict resolution process.

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References

  1. 1.
    Park, J.: Facilitating Interoperability among Heterogeneous Geographic Database Systems: A Theoretical Framework, A Prototype System, and Evaluation. Doctoral Thesis, Department of Management Information Systems, The University of Arizona, Tucson, Arizona, 1999.Google Scholar
  2. 2.
    Ram, S., Park, J., Kim, K., Hwang, Y.: A Comprehensive Framework for Classifying Data-and Schema-Level Semantic Conflicts in Geographic and Non-Geographic Databases. In: Sarkar, S., Narasimhan, S. (eds.): Proceedings the Ninth Workshop on Information Technologies and Systems. Charlotte, North Carolina, December 11–12, 1999. 185–190.Google Scholar
  3. 3.
    Ram, S., Hwang, Y., Khatri, V.: Infomediation for E-business enabled Supply Chains: A Semantics Based Approach. In: Proceedings of DS-9-Semantic Issues in Ecommerce Systems. Hong Kong, April 23–28, 2001. 217–231.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Sudha Ram
    • 1
  • Jinsoo Park
    • 2
  • Yousub Hwang
    • 1
  1. 1.Department of Management Information SystemsUniversity of ArizonaTucson
  2. 2.Department of Information Decision SciencesUniversity of MinnesotaMinneapolis

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