2026-09-18T20:49:08Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/180072022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Daniel J. Weitzner and Ronald L. Rivest.
Wagner, Ryan Randall, 1980-
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2005-06-02T19:36:04Z
2005-06-02T19:36:04Z
2004
2004
http://hdl.handle.net/1721.1/18007
57204648
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
Includes bibliographical references (p. 101-105).
The Web is changing. Originally a medium for human-readable documents, the next generation Semantic Web is opening up toolkit that provides vast opportunities for sharing information that is encoded in a machine-readable form. The opportunities for sharing data also are opportunities for encroaching on people's privacy. While some technologies already exist for expressing privacy preferences, they do not integrate closely with the Semantic Web. In addition, previous approaches to privacy expression do not easily expand to data shared over multiple hops, with different privacy preferences at each hop. The Private Information Management Agent is an attempt to mitigate these concerns.
by Ryan Randall Wagner.
M.Eng.
105 p.
4339379 bytes
4351957 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.
Graph-based privacy preference expression for the semantic web
Private Information Management Agent
Thesis
application/pdf
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Publication
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