Mobile, Collaborative, Context-Aware Systems

Simple item page
dc.contributor.authorZavala, Laura
dc.contributor.authorDharurkar, Radhika
dc.contributor.authorJagtap, Pramod
dc.contributor.authorFinin, Tim
dc.contributor.authorJoshi, Anupam
dc.date.accessioned2018-11-13T19:44:33Z
dc.date.available2018-11-13T19:44:33Z
dc.date.issued2011-08-07
dc.descriptionProceedings of the AAAI Workshop on Activity Context Representation: Techniques and Languagesen_US
dc.description.abstractWe 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.sponsorshipSupport 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.urihttps://ebiquity.umbc.edu/_file_directory_/papers/565.pdfen_US
dc.format.extent7 pagesen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/M2599Z55Z
dc.identifier.citationLaura 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.pdfen_US
dc.identifier.urihttp://hdl.handle.net/11603/11973
dc.language.isoen_USen_US
dc.publisherAAAIen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsThis 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.subjectcontexten_US
dc.subjectlearningen_US
dc.subjectmobile computingen_US
dc.subjectsemantic weben_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleMobile, Collaborative, Context-Aware Systemsen_US
dc.typeTexten_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
565.pd.pdf
Size:
878.81 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.68 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

UMBC Computer Science and Electrical Engineering Department
UMBC Faculty Collection
UMBC Student Collection