Framework for the Analysis of the Adaptability, Extensibility, and Scalability of Semantic Information Integration and the Context Mediation Approach
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 heterog...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | en_US |
| Published: |
Cambridge, MA; Alfred P. Sloan School of Management, Massachusetts Institute of Technology
2011
|
| Online Access: | http://hdl.handle.net/1721.1/65625 |
| _version_ | 1826209520715563008 |
|---|---|
| author | Gannon, Thomas Madnick, Stuart Moulton, Allen Sabbouh, Marwan Siegel, Michael Zhu, Hongwei |
| author_facet | Gannon, Thomas Madnick, Stuart Moulton, Allen Sabbouh, Marwan Siegel, Michael Zhu, Hongwei |
| author_sort | Gannon, Thomas |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T14:24:06Z |
| format | Article |
| id | mit-1721.1/65625 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T14:24:06Z |
| publishDate | 2011 |
| publisher | Cambridge, MA; Alfred P. Sloan School of Management, Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/656252019-04-12T11:32:02Z Framework for the Analysis of the Adaptability, Extensibility, and Scalability of Semantic Information Integration and the Context Mediation Approach Gannon, Thomas Madnick, Stuart Moulton, Allen Sabbouh, Marwan Siegel, Michael Zhu, Hongwei 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. This work has been supported, in part, by MITRE Corp., the MIT-MUST project, the Singapore-MIT Alliance, and Suruga Bank. 2011-09-08T20:45:12Z 2011-09-08T20:45:12Z 2009-01-01 Article http://hdl.handle.net/1721.1/65625 en_US MIT Sloan School of Management Working Paper;4729-09 CISL Working Paper;2009-02 application/pdf Cambridge, MA; Alfred P. Sloan School of Management, Massachusetts Institute of Technology |
| spellingShingle | Gannon, Thomas Madnick, Stuart Moulton, Allen Sabbouh, Marwan Siegel, Michael Zhu, Hongwei Framework for the Analysis of the Adaptability, Extensibility, and Scalability of Semantic Information Integration and the Context Mediation Approach |
| title | Framework for the Analysis of the Adaptability, Extensibility, and Scalability of Semantic Information Integration and the Context Mediation Approach |
| title_full | Framework for the Analysis of the Adaptability, Extensibility, and Scalability of Semantic Information Integration and the Context Mediation Approach |
| title_fullStr | Framework for the Analysis of the Adaptability, Extensibility, and Scalability of Semantic Information Integration and the Context Mediation Approach |
| title_full_unstemmed | Framework for the Analysis of the Adaptability, Extensibility, and Scalability of Semantic Information Integration and the Context Mediation Approach |
| title_short | Framework for the Analysis of the Adaptability, Extensibility, and Scalability of Semantic Information Integration and the Context Mediation Approach |
| title_sort | framework for the analysis of the adaptability extensibility and scalability of semantic information integration and the context mediation approach |
| url | http://hdl.handle.net/1721.1/65625 |
| work_keys_str_mv | AT gannonthomas frameworkfortheanalysisoftheadaptabilityextensibilityandscalabilityofsemanticinformationintegrationandthecontextmediationapproach AT madnickstuart frameworkfortheanalysisoftheadaptabilityextensibilityandscalabilityofsemanticinformationintegrationandthecontextmediationapproach AT moultonallen frameworkfortheanalysisoftheadaptabilityextensibilityandscalabilityofsemanticinformationintegrationandthecontextmediationapproach AT sabbouhmarwan frameworkfortheanalysisoftheadaptabilityextensibilityandscalabilityofsemanticinformationintegrationandthecontextmediationapproach AT siegelmichael frameworkfortheanalysisoftheadaptabilityextensibilityandscalabilityofsemanticinformationintegrationandthecontextmediationapproach AT zhuhongwei frameworkfortheanalysisoftheadaptabilityextensibilityandscalabilityofsemanticinformationintegrationandthecontextmediationapproach |