Automating website profiling for a deep web search engine

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.

Bibliographic Details
Main Author: Yuan, Jeffrey W. (Jeffrey Weijie)
Other Authors: Michael Stonebraker.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2010
Subjects:
Online Access:http://hdl.handle.net/1721.1/53187
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author Yuan, Jeffrey W. (Jeffrey Weijie)
author2 Michael Stonebraker.
author_facet Michael Stonebraker.
Yuan, Jeffrey W. (Jeffrey Weijie)
author_sort Yuan, Jeffrey W. (Jeffrey Weijie)
collection MIT
description Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.
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spelling mit-1721.1/531872019-04-12T09:46:26Z Automating website profiling for a deep web search engine Yuan, Jeffrey W. (Jeffrey Weijie) Michael Stonebraker. 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, 2009. Cataloged from PDF version of thesis. Includes bibliographical references (p. 53-55). The deep web consists of information on the internet that resides in databases or is dynamically generated. It is believed that the deep web represents a large percentage of the total contents on the web, but is currently not indexed by traditional search engines. The Morpheus project is designed to solve this problem by making information in the deep web searchable. This requires a large repository of content sources to be built up, where each source is represented in Morpheus by a profile or wrapper. This research proposes an approach to automating the creation of wrappers by relying on the average internet user to identify relevant sites. A wrapper generation system was created based on this approach. It comprises two components: the clickstream recorder saves characteristic data for websites identified by users, and the wrapper constructor converts these data into wrappers for the Morpheus system. After completing the implementation of this system, user tests were conducted, which verified that the system is effective and has good usability. by Jeffrey W. Yuan. M.Eng. 2010-03-25T15:12:10Z 2010-03-25T15:12:10Z 2009 2009 Thesis http://hdl.handle.net/1721.1/53187 525231644 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 55 p. application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Yuan, Jeffrey W. (Jeffrey Weijie)
Automating website profiling for a deep web search engine
title Automating website profiling for a deep web search engine
title_full Automating website profiling for a deep web search engine
title_fullStr Automating website profiling for a deep web search engine
title_full_unstemmed Automating website profiling for a deep web search engine
title_short Automating website profiling for a deep web search engine
title_sort automating website profiling for a deep web search engine
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/53187
work_keys_str_mv AT yuanjeffreywjeffreyweijie automatingwebsiteprofilingforadeepwebsearchengine