2026-09-19T16:00:32Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/300972022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
David R. Karger.
Sinha, Vineet, 1978-
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2006-03-24T18:19:12Z
2006-03-24T18:19:12Z
2003
2004
http://hdl.handle.net/1721.1/30097
55677143
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2004.
Includes bibliographical references (p. 89-95).
Systems trying to help users deal with information overload need to be able to support the user in an information-centric manner, and need to support portions of the information which are structured -like creation dates -while at the same time allowing for irregularity and evolution of the data schemas which are not allowed in databases, i.e. they need to support semistructured repositories. Thus, to solve information overload there is a need for a system to support finding information in these semistructured repositories. Since users rarely know the exact query to ask a system when searching for information the first time, they will want to take the results from their first query and use it to successively improve their queries to "home in" in on the needed information. This research investigates a framework, system, and user interface for supporting effective information retrieval and browsing in such repositories. This system is general purpose, involving no hard-coded assumptions about the structure of the repository. An understanding of the end-user's search process is used to provide effective "next steps" to the users leading them towards the information they are seeking.
by Vineet Sinha.
S.M.
95 p.
6010609 bytes
6010418 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
Electrical Engineering and Computer Science.
Dynamically exploiting available metadata for browsing and information retrieval
Thesis
application/pdf
Publication
unknown
unknown
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<Abstract>Systems trying to help users deal with information overload need to be able to support the user in an information-centric manner, and need to support portions of the information which are structured -like creation dates -while at the same time allowing for irregularity and evolution of the data schemas which are not allowed in databases, i.e. they need to support semistructured repositories. Thus, to solve information overload there is a need for a system to support finding information in these semistructured repositories. Since users rarely know the exact query to ask a system when searching for information the first time, they will want to take the results from their first query and use it to successively improve their queries to "home in" in on the needed information. This research investigates a framework, system, and user interface for supporting effective information retrieval and browsing in such repositories. This system is general purpose, involving no hard-coded assumptions about the structure of the repository. An understanding of the end-user's search process is used to provide effective "next steps" to the users leading them towards the information they are seeking.</Abstract>
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