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Outline

Title
Abstract
Introduction
Proposed Data Mediation Approach
Inter Ontology Mappings -Discussion
Related Work and Discussion
Applications and Future Work
Conclusion
References
All Topics
Biology
Bioinformatics

Ontology Driven Data Mediation in Web Services

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2007, International Journal of Web Services Research

Abstract

With the rising popularity of Web services, both academia and industry have invested considerably in Web service description standards, discovery, and composition techniques. The standards-based approach utilized by Web services has supported interoperability at the syntax level. However, issues of structural and semantic heterogeneity between messages exchanged by Web services are far more complex and crucial to interoperability. It is for these reasons that we recognize the value that schema/data mappings bring to Web service descriptions. In this article, we examine challenges to interoperability; classify the types of heterogeneities that can occur between interacting services, and present a possible solution for data interoperability using the mapping support provided by WSDL-S, a key driver behind SAWSDL. We present a data mediation architecture using the extensibility features of WSDL and the popular SOAP engine, Axis 2.

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References (42)

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  39. WSDL-S Web Service Semantics http://www.w3.org/Submission/WSDL-S/ Zeng, L., Benatallah, B., Dumas, M., Kalagnanam, J. and Sheng, Q.Z., 2003, Quality driven web services composition. in WWW: 411-421, (2003).
  40. Wu Z., Ranabahu A., Gomadam K., Sheth A. P. and Miller J.A., Automatic Composition of Semantic Web Services using Process and Data Mediation, Technical report SWS Challenge 2007 http://knoesis.cs.wright.edu/library/publications/download/SWSChallenge-TR-METEOR-S-Feb2007.pdf ABOUT THE AUTHORS Meenakshi Nagarajan (http://knoesis.wright.edu/students/meena/) is pursuing a PhD in Computer Science at the Kno.e.sis Center at the Wright State University under the direction of Prof. Amit Sheth. Her interests lie in the space of schema and data matching, mapping and disambiguation problems in structured, semi- structured and unstructured information sources. She is also a co-author of WSDL-S, which is the key driver for W3C's candidate recommendation SAWSDL. She received her undergraduate degree from BITS, Pilani India and was previously a part of the LSDIS group (http://lsdis.cs.uga.edu/) at the University of Georgia.
  41. Dr. Kunal Verma is a researcher with Accenture Technology Labs. He has published over 30 refereed conference and journal papers in the areas of SOA, Semantic Web services and processes, adaptive Web processes and XML Databases. He is a co-author of WSDL-S, which is the primary input for W3C's upcoming candidate recommendation SAWSDL. He graduated with a Ph.D in Computer Science from the University of Georgia.
  42. Prof. Amit Sheth is an educator, researcher and entrepreneur. He is the LexisNexis Eminent Scholar and the director of Kno.e.sis Center (http://knoesis.org) at the Wright State University. He is a fellow of the IEEE. He is well published and cited in the areas of information integration, workflow management and

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