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 heterogeneit...
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| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers
2010
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| Online Access: | http://hdl.handle.net/1721.1/59324 https://orcid.org/0000-0001-9240-2573 |
| _version_ | 1826212486236340224 |
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| author | Madnick, Stuart E. Moulton, Allen Siegel, Michael D. Sabbouh, Marwan Zhu, Hongwei Gannon, Thomas |
| author2 | Massachusetts Institute of Technology. Center for Technology, Policy, and Industrial Development |
| author_facet | Massachusetts Institute of Technology. Center for Technology, Policy, and Industrial Development Madnick, Stuart E. Moulton, Allen Siegel, Michael D. Sabbouh, Marwan Zhu, Hongwei Gannon, Thomas |
| author_sort | Madnick, Stuart E. |
| 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 | 2024-09-23T15:22:54Z |
| format | Article |
| id | mit-1721.1/59324 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:22:54Z |
| publishDate | 2010 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | mit-1721.1/593242022-09-29T14:33:27Z Framework for the analysis of the adaptability, extensibility, and scalability of semantic information integration and the context mediation approach Madnick, Stuart E. Moulton, Allen Siegel, Michael D. Sabbouh, Marwan Zhu, Hongwei Gannon, Thomas Massachusetts Institute of Technology. Center for Technology, Policy, and Industrial Development Sloan School of Management Madnick, Stuart E. Madnick, Stuart E. Moulton, Allen Siegel, Michael D. 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. Mitre Corporation Singapore-MIT Alliance Malaysia University of Science and Technology Massachusetts Institute of Technology Suruga Bank Ltd. 2010-10-14T15:34:28Z 2010-10-14T15:34:28Z 2009-01 Article http://purl.org/eprint/type/JournalArticle 978-0-7695-3450-3 1530-1605 INSPEC Accession Number: 10466995 http://hdl.handle.net/1721.1/59324 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. https://orcid.org/0000-0001-9240-2573 en_US http://dx.doi.org/10.1109/HICSS.2009.223 42nd Hawaii International Conference on System Sciences, 2009. HICSS '09 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. application/pdf Institute of Electrical and Electronics Engineers IEEE |
| spellingShingle | Madnick, Stuart E. Moulton, Allen Siegel, Michael D. Sabbouh, Marwan Zhu, Hongwei Gannon, Thomas 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/1721.1/59324 https://orcid.org/0000-0001-9240-2573 |
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