Framework for the analysis of the adaptability, extensibility, and scalability of semantic information integration and the context mediation approach
Name
Gannon-2009-Framework for the analysis of the adaptability, extensibility, and scalability of semantic information integration and the context mediation .pdf
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297.35 KB
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Author(s)
Madnick, Stuart E.
Moulton, Allen
Siegel, Michael D.
Sabbouh, Marwan
Zhu, Hongwei
Gannon, Thomas
Date Issued
January 2009
Journal
42nd Hawaii International Conference on System Sciences, 2009. HICSS '09
Publisher
Institute of Electrical and Electronics Engineers
Citation
Gannon, T. et al. “Framework for the Analysis of the Adaptability, Extensibility, and Scalability of Semantic Information Integration and the Context Mediation Approach.” System Sciences, 2009. HICSS '09. 42nd Hawaii International Conference on. 2009. 1-11. ©2009 Institute of Electrical and Electronics Engineers.
Version
Final published version
Abstract
Technological advances such as Service Oriented Architecture (SOA) have increased the feasibility and importance of effectively integrating information from an ever widening number of systems within and across enterprises. A key difficulty of achieving this goal comes from the pervasive heterogeneity in all levels of information systems. A robust solution to this problem needs to be adaptable, extensible, and scalable. In this paper, we identify the deficiencies of traditional semantic integration approaches. The COntext INterchange (COIN) approach overcomes these deficiencies by declaratively representing data semantics and using a mediator to create the necessary conversion programs from a small number of conversion rules. The capabilities of COIN is demonstrated using an example with 150 data sources, where COIN can automatically generate the over 22,000 conversion programs needed to enable semantic interoperability using only six parametizable conversion rules. This paper presents a framework for evaluating adaptability, extensibility, and scalability of semantic integration approaches. The application of the framework is demonstrated with a systematic evaluation of COIN and other commonly practiced approaches.
MIT Department
Massachusetts Institute of Technology. Center for Technology, Policy, and Industrial Development
Sloan School of Management
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1109/HICSS.2009.223
