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Semantics for Privacy and Shared Context

Authors: Roberto Yus, Primal Pappachan, Prajit Kumar Das, Tim Finin, Anupam Joshi, and Eduardo Mena

Book Title: Second International Workshop on Society, Privacy and the Semantic Web - Policy and Technology (PrivOn 2014), Riva del Garda (Italy), October 2014

Date: October 20, 2014

Abstract: Capturing, maintaining, and using context information helps mobile applications provide better services and generates data useful in specifying information sharing policies. Obtaining the full benefit of context information requires a rich and expressive representation that is grounded in shared semantic models. We summarize some of our past work on representing and using context models and briefly describe Triveni, a system for cross-device context discovery and enrichment. Triveni represents context in RDF and OWL and reasons over context models to infer additional information and detect and resolve ambiguities and inconsistencies. A unique feature, its ability to create and manage "contextual groups" of users in an environment, enables their members to share context information using wireless ad-hoc networks. Thus, it enriches the information about a user's context by creating mobile ad hoc knowledge networks.

Type: InProceedings

Publisher: CEUR Workshop Proceedings

Volume: 1316

Tags: mobile, privacy, context, semantic web, android

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