2026-09-19T04:58:26Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/612472022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Stephen A. Ward.
Williamson, Victor Lamont
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2011-02-23T14:35:59Z
2011-02-23T14:35:59Z
2010
2010
http://hdl.handle.net/1721.1/61247
701833358
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 57-58).
We have designed and implemented a Goal-oriented Web application to search videos, images, and news by querying YouTube, Truveo, Google and Yahoo search services. The Planner module decomposes functionality in Goals and Techniques. Goals declare searches for specific types of content and Techniques query the various Web services. We choose which Web service has the best rating at runtime and return the winning results. Users weight their preferred Web services and declare a repository of their own Techniques to upload and execute.
by Victor Lamont Williamson.
M.Eng.
58 p.
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.
Goal-oriented Web search
Thesis
application/pdf
Publication
unknown
unknown
<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="ea01c67c-d0a9-4f53-a5ca-f2b0b4cea2f7">
<Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type>
<Language>eng</Language>
<Title>Goal-oriented Web search</Title>
<PublishedIn>
<Publication>
</Publication>
</PublishedIn>
<PublicationDate>2010</PublicationDate>
<Authors>
<Author>
<DisplayName>Williamson, Victor Lamont</DisplayName>
<Affiliation>
<OrgUnit>
</OrgUnit>
</Affiliation>
</Author>
</Authors>
<Editors>
</Editors>
<Publishers>
<Publisher>
<DisplayName>Massachusetts Institute of Technology</DisplayName>
<OrgUnit />
</Publisher>
</Publishers>
<License>http://dspace.mit.edu/handle/1721.1/7582</License>
<Keyword>Electrical Engineering and Computer Science.</Keyword>
<Abstract>We have designed and implemented a Goal-oriented Web application to search videos, images, and news by querying YouTube, Truveo, Google and Yahoo search services. The Planner module decomposes functionality in Goals and Techniques. Goals declare searches for specific types of content and Techniques query the various Web services. We choose which Web service has the best rating at runtime and return the winning results. Users weight their preferred Web services and declare a repository of their own Techniques to upload and execute.</Abstract>
<Access xmlns="http://purl.org/coar/access_right"
>
</Access>
</Publication>