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Mobile, Collaborative, Context-Aware Systems

Authors: Laura Zavala, Radhika Dharurkar, Pramod Jagtap, Tim Finin, and Anupam Joshi

Book Title: Proceedings of the AAAI Workshop on Activity Context Representation: Techniques and Languages

Date: August 07, 2011

Abstract: We describe work on representing and using a rich notion of context that goes beyond current networking applications focusing mostly on location. Our context model includes location and surroundings, the presence of people and devices, inferred activities and the roles people fill in them. A key element of our work is the use of collaborative information sharing where devices share and integrate knowledge about their context. This introduces a requirement that users can set appropriate levels of privacy to protect the personal information being collected and the inferences that can be drawn from it. We use Semantic Web technologies to model context and to specify high-level, declarative policies specifying information sharing constraints. The policies involve attributes of the subject (i.e., information recipient), target (i.e., the information) and their dynamic context (e.g., are the parties co-present). We discuss our ongoing work on context representation and inference and present a model for protecting and controlling the sharing of private data in context-aware mobile applications.

Type: InProceedings

Organization: AAAI

Publisher: AAAI Press

Tags: semantic web, mobile computing, mobile, semantic, privacy, learning, context

Google Scholar: search

Number of downloads: 2018


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Past Project

 Platys: From Position to Place in Next Generation Networks.