Semantics for Privacy and Shared Context
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Date
2014-10-20
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Citation of Original Publication
Yus, Roberto, Primal Pappachan, Prajit Kumar Das, Tim Finin, Anupam Joshi, and Eduardo Mena. “Semantics for Privacy and Shared Context.” Second International Workshop on Society, Privacy and the Semantic Web - Policy and Technology (PrivOn 2014), Riva Del Garda (Italy), October 20, 2014. https://ceur-ws.org/Vol-1316/privon2014_paper1.pdf.
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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.