Learning the process of World Wide Web data retrieval
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/1721.1/33288 |
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author | Manuel, Ryan A |
author2 | David R. Karger. |
author_facet | David R. Karger. Manuel, Ryan A |
author_sort | Manuel, Ryan A |
collection | MIT |
description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005. |
first_indexed | 2024-09-23T12:31:01Z |
format | Thesis |
id | mit-1721.1/33288 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T12:31:01Z |
publishDate | 2006 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/332882019-04-11T13:31:53Z Learning the process of World Wide Web data retrieval Learning the process of WWW data retrieval Manuel, Ryan A David R. Karger. 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 (leaf 65). We develop a method for extracting and internalizing web site form submissions which we refer to as web operations. To begin the process, a user performs a sample submission of the form. From that submission, our system determines all of the necessary information to store the web operation. Through a simple user interface the user can view and modify the web operation to the extent that he wants or needs to. With the operation now stored, the user can invoke the operation without browsing to the web site on which the operation was originally contained. By utilizing the web site information extraction techniques contained in the Haystack information management system, we give the user the option to extract information off of web operation results pages. Thus, when using our system to the fullest extent, a user can invoke web operations and view and make use of the results without viewing any web pages. by Ryan A. Manuel. M.Eng. 2006-07-13T15:12:43Z 2006-07-13T15:12:43Z 2005 2005 Thesis http://hdl.handle.net/1721.1/33288 62277965 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 65 leaves 3160655 bytes 3162713 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
spellingShingle | Electrical Engineering and Computer Science. Manuel, Ryan A Learning the process of World Wide Web data retrieval |
title | Learning the process of World Wide Web data retrieval |
title_full | Learning the process of World Wide Web data retrieval |
title_fullStr | Learning the process of World Wide Web data retrieval |
title_full_unstemmed | Learning the process of World Wide Web data retrieval |
title_short | Learning the process of World Wide Web data retrieval |
title_sort | learning the process of world wide web data retrieval |
topic | Electrical Engineering and Computer Science. |
url | http://hdl.handle.net/1721.1/33288 |
work_keys_str_mv | AT manuelryana learningtheprocessofworldwidewebdataretrieval AT manuelryana learningtheprocessofwwwdataretrieval |