Massachusetts Institute of Technology
Graph-based privacy preference expression for the semantic web
Abstract
dc:description.abstractThe 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.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2004
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Wagner, Ryan Randall, 1980-
- Advisor dc:contributor.advisor
-
- Daniel J. Weitzner and Ronald L. Rivest.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- 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.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/18007
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/18007