2026-09-18T23:17:06Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/294152022-01-13T07:54:23Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
John R. Williams.
Hohm, Joseph Brandon, 1982-
Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering.
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
2005-10-14T20:25:25Z
2005-10-14T20:25:25Z
2004
2004
http://hdl.handle.net/1721.1/29415
56138579
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2004.
Includes bibliographical references (leaves 78-80).
Today, annual information fabrication per capita exceeds two hundred and fifty megabytes. As the amount of data increases, classification and retrieval methods become more necessary to find relevant information. This thesis describes a .Net application (named I-Document) that establishes an automatic classification scheme in a peer-to-peer environment that allows free sharing of academic, business, and personal documents. A Web service architecture for metadata extraction, Information Extraction, Information Retrieval, and text summarization is depicted. Specific details regarding the coding process, competition, business model, and technology employed in the project are also discussed.
by Joseph Brandon Hohm.
M.Eng.
92 leaves
3024644 bytes
3024453 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
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
Civil and Environmental Engineering.
Automatic classification of documents with an in-depth analysis of information extraction and automatic summarization
Thesis
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