2026-09-18T22:00:20Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/332882022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
David R. Karger.
Manuel, Ryan A
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2006-07-13T15:12:43Z
2006-07-13T15:12:43Z
2005
2005
http://hdl.handle.net/1721.1/33288
62277965
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.
65 leaves
3160655 bytes
3162713 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.
Learning the process of World Wide Web data retrieval
Learning the process of WWW data retrieval
Thesis
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<Abstract>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.</Abstract>
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