Towards automatic privacy management in Web 2.0 with semantic analysis on annotations

Nitya Vyas, Anna C. Squicciarini, Chih Cheng Chang, Danfeng Yao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Scopus citations

Abstract

Sharing personal information and documents is pervasive in Web 2.0 environments, which creates the need for properly controlling shared data. Most existing authorization and policy management systems are for organizational use by IT professionals. Average Web users, however, do not have the sophistication to specify and maintain privacy policies for their shared content. In this paper, we aim to utilize personal and social annotations to develop automatic tools for managing content sharing, and demonstrate a new application of social annotations in access control. We use annotation data to predict privacy preferences of users and automatically derive policies for shared content. We carry out a series of user studies to evaluate the accuracy of our predicted techniques. We also perform extensive analysis on static and dynamic approaches of analyzing semantic similarities of tags, which is of independent interest. Our analysis gives encouraging results on the feasibility of using annotations for privacy management in Web 2.0.

Original languageEnglish (US)
Title of host publication2009 5th International Conference on Collaborative Computing
Subtitle of host publicationNetworking, Applications and Worksharing, CollaborateCom 2009
DOIs
StatePublished - 2009
Event2009 5th International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2009 - Washington, DC, United States
Duration: Nov 11 2009Nov 14 2009

Publication series

Name2009 5th International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2009

Other

Other2009 5th International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2009
Country/TerritoryUnited States
CityWashington, DC
Period11/11/0911/14/09

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Software

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