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Automatic record extraction for the World Wide Web

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dc.contributor.advisor David R. Karger. en_US
dc.contributor.author Shen, Yuan Kui en_US
dc.contributor.other Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. en_US
dc.date.accessioned 2007-01-10T16:47:43Z
dc.date.available 2007-01-10T16:47:43Z
dc.date.copyright 2005 en_US
dc.date.issued 2006 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/35609
dc.description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2006. en_US
dc.description Includes bibliographical references (p. 149-152). en_US
dc.description.abstract As the amount of information on the World Wide Web grows, there is an increasing demand for software that can automatically process and extract information from web pages. Despite the fact that the underlying data on most web pages is structured, we cannot automatically process these web sites/pages as structured data. We need robust technologies that can automatically understand human-readable formatting and induce the underlying data structures. In this thesis, we are focused on solving a specific facet of this general unsupervised web information extraction problem. Structured data can appear in diverse forms from lists to trees to even semi-structured graphs. However, much of the information on the web appears in a flat format we call "records". In this work, we will describe a system, MURIEL, that uses supervised and unsupervised learning techniques to effectively extract records from webpages. en_US
dc.description.statementofresponsibility by Yuan Kui Shen. en_US
dc.format.extent 152 p. en_US
dc.format.extent 10456463 bytes
dc.format.extent 10997527 bytes
dc.format.mimetype application/pdf
dc.format.mimetype application/pdf
dc.language.iso eng en_US
dc.publisher Massachusetts Institute of Technology en_US
dc.rights 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. en_US
dc.rights.uri http://dspace.mit.edu/handle/1721.1/7582
dc.subject Electrical Engineering and Computer Science. en_US
dc.title Automatic record extraction for the World Wide Web en_US
dc.type Thesis en_US
dc.description.degree S.M. en_US
dc.contributor.department Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. en_US
dc.identifier.oclc 75289843 en_US


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MIT-Mirage