BioDig : architecture for integrating heterogeneous biological data repositories using ontologies
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2006
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| Online Access: | http://hdl.handle.net/1721.1/33116 |
| _version_ | 1826200589784055808 |
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| author | Chou, Howard H |
| author2 | C. Forbes Dewey, Jr. |
| author_facet | C. Forbes Dewey, Jr. Chou, Howard H |
| author_sort | Chou, Howard H |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005. |
| first_indexed | 2024-09-23T11:38:45Z |
| format | Thesis |
| id | mit-1721.1/33116 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T11:38:45Z |
| publishDate | 2006 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/331162019-04-11T14:40:04Z BioDig : architecture for integrating heterogeneous biological data repositories using ontologies Architecture for integrating heterogeneous biological data repositories using ontologies Chou, Howard H C. Forbes Dewey, Jr. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005. Includes bibliographical references (p. 86-89). High-throughput experiments generate vast quantities of biological information that are stored in autonomous data repositories distributed across the World Wide Web. There exists a need to integrate information from multiple data repositories for the purposes of data mining; however, current methods of integration require a significant amount of manual work that is often tedious and time consuming. The thesis proposes a flexible architecture that facilitates the automation of data integration from multiple heterogeneous biological data repositories using ontologies. The design uses ontologies to resolve the semantic conflicts that usually hinder schema integration and searching for information. The architecture implemented successfully demonstrates how ontologies facilitate the automation of data integration from multiple data repositories. Nevertheless, many optimizations to increase the performance of the system were realized during the implementation of various components in the architecture and are described in the thesis. by Howard H. Chou. M.Eng. 2006-06-19T17:42:04Z 2006-06-19T17:42:04Z 2005 2005 Thesis http://hdl.handle.net/1721.1/33116 62233391 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 106 p. 5084674 bytes 5090700 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Chou, Howard H BioDig : architecture for integrating heterogeneous biological data repositories using ontologies |
| title | BioDig : architecture for integrating heterogeneous biological data repositories using ontologies |
| title_full | BioDig : architecture for integrating heterogeneous biological data repositories using ontologies |
| title_fullStr | BioDig : architecture for integrating heterogeneous biological data repositories using ontologies |
| title_full_unstemmed | BioDig : architecture for integrating heterogeneous biological data repositories using ontologies |
| title_short | BioDig : architecture for integrating heterogeneous biological data repositories using ontologies |
| title_sort | biodig architecture for integrating heterogeneous biological data repositories using ontologies |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/33116 |
| work_keys_str_mv | AT chouhowardh biodigarchitectureforintegratingheterogeneousbiologicaldatarepositoriesusingontologies AT chouhowardh architectureforintegratingheterogeneousbiologicaldatarepositoriesusingontologies |