Mobile, Collaborative, Context-Aware Systems
dc.contributor.author | Zavala, Laura | |
dc.contributor.author | Dharurkar, Radhika | |
dc.contributor.author | Jagtap, Pramod | |
dc.contributor.author | Finin, Tim | |
dc.contributor.author | Joshi, Anupam | |
dc.date.accessioned | 2018-11-13T19:44:33Z | |
dc.date.available | 2018-11-13T19:44:33Z | |
dc.date.issued | 2011-08-07 | |
dc.description | Proceedings of the AAAI Workshop on Activity Context Representation: Techniques and Languages | en_US |
dc.description.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. | en_US |
dc.description.sponsorship | Support for this work was provided by NSF grant 0910838, MURI award FA9550-08-1-0265 from the Air Force Office of Scientific Research, and a gift from Qualcomm.We thank Amey Sane and Nikhil Puranik for their work on data visualization. | en_US |
dc.description.uri | https://ebiquity.umbc.edu/_file_directory_/papers/565.pdf | en_US |
dc.format.extent | 7 pages | en_US |
dc.genre | conference papers and proceedings preprints | en_US |
dc.identifier | doi:10.13016/M2599Z55Z | |
dc.identifier.citation | Laura Zavala, Radhika Dharurkar, Pramod Jagtap, Tim Finin, and Anupam Joshi, Mobile, Collaborative, Context-Aware Systems, Proceedings of the AAAI Workshop on Activity Context Representation: Techniques and Languages, 2011. https://ebiquity.umbc.edu/_file_directory_/papers/565.pdf | en_US |
dc.identifier.uri | http://hdl.handle.net/11603/11973 | |
dc.language.iso | en_US | en_US |
dc.publisher | AAAI | en_US |
dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
dc.relation.ispartof | UMBC Computer Science and Electrical Engineering Department Collection | |
dc.relation.ispartof | UMBC Faculty Collection | |
dc.relation.ispartof | UMBC Student Collection | |
dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | |
dc.subject | context | en_US |
dc.subject | learning | en_US |
dc.subject | mobile computing | en_US |
dc.subject | semantic web | en_US |
dc.subject | UMBC Ebiquity Research Group | en_US |
dc.title | Mobile, Collaborative, Context-Aware Systems | en_US |
dc.type | Text | en_US |