2026-09-18T21:41:51Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/296562026-06-06T01:04:38Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Ralph Swick.
Lee, Ryan, 1980-
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2006-03-24T16:12:21Z
2006-03-24T16:12:21Z
2002
2002
http://hdl.handle.net/1721.1/29656
53712555
Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.
Includes bibliographical references (p. 167-168).
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.
by Ryan Lee.
M.Eng.
S.B.
168 p.
6089436 bytes
6089245 bytes
application/pdf
application/pdf
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.
Personal data protection in the semantic web
Thesis
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