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Querying context maps using relative timing predicates in pervasive environments
| Content Provider | ACM Digital Library |
|---|---|
| Author | Cao, Jiannong Kshemkalyani, Ajay D. Raychoudhury, Vaskar |
| Abstract | Pervasive computing environments are composed of numerous smart entities (objects and human alike) which are interconnected through contextual links in order to create a Web of physical objects. The contextual links can be based on matching context attribute-values (e.g., co-location) or social connections. We call such a Web of smart physical objects a context map. Context maps can be used for context-aware search and browse of the physical world. This paper shows how to evaluate predicates on the context map, when the predicate is specified using complex timing relations. |
| Starting Page | 1 |
| Ending Page | 6 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781450310697 |
| DOI | 10.1145/2090296.2090299 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2011-12-12 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Predicate detection Searching and browsing physical world Query Context map Relative event detection |
| Content Type | Text |
| Resource Type | Article |
