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dc.contributor.advisorStephen A. Ward.en_US
dc.contributor.authorWilliamson, Victor Lamonten_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2011-02-23T14:35:59Z
dc.date.available2011-02-23T14:35:59Z
dc.date.copyright2010en_US
dc.date.issued2010en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/61247
dc.descriptionThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 57-58).en_US
dc.description.abstractWe 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.en_US
dc.description.statementofresponsibilityby Victor Lamont Williamson.en_US
dc.format.extent58 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleGoal-oriented Web searchen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc701833358en_US


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