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Framework for the Analysis of the Adaptability, Extensibility, and Scalability of Semantic Information Integration and the Context Mediation ApproachThomas GannonMITRE Corporation Stuart MadnickMassachusetts Institute of Technology (MIT) - Sloan School of Management Allen MoultonMassachusetts Institute of Technology (MIT) Michael SiegelMassachusetts Institute of Technology (MIT) - Sloan School of Management Marwan SabbouhMITRE Corporation Hongwei (Harry) ZhuOld Dominion University; Massachusetts Institute of Technology (MIT) January 1, 2009 MIT Sloan Research Paper No. 4729-09 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.
Number of Pages in PDF File: 13 Keywords: service oriented architecture, Context Interchange working papers seriesDate posted: March 11, 2009Suggested CitationContact Information
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