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Personal data protection in the semantic web

Author(s)
Lee, Ryan, 1980-
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Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Advisor
Ralph Swick.
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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
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Abstract
Growing concerns over the abuse of personal information via the World Wide Web can be addressed at political, social, and technical levels. As the Web evolves into the Semantic Web, where machines understand the information they process, technical solutions such as PEDAL become feasible. PEDAL, the Personal Data Access Language, defines a vocabulary for composing policies that describe characteristics of clients who are allowed or denied access to the personal information a policy governs. Policies can be merged together using PEDAL negotiation rules. Semantic Web logic processors reason through policies, arriving at a final determination on information distribution for each request. Software for implementing PEDAL and test cases for exercising its features demonstrate basic PEDAL functionality.
Description
Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.
 
Includes bibliographical references (p. 167-168).
 
Date issued
2002
URI
http://hdl.handle.net/1721.1/29656
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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