Abstract
Context-awareness is becoming an important foundation of adaptive mobile systems, however, techniques for discovering contextually relevant Web content and Smart Devices (i.e., Smart Resources) remain consigned to small-scale deployments. To address this limitation, this paper introduces Ambient Ocean, a Web search engine for context-aware Smart Resource discovery. Ocean provides scalable mechanisms for supplementing Resources with expressive contextual metadata as a means of facilitating in-situ discovery and composition. Ocean supports queries based on arbitrary contextual data, such as location, biometric details, telemetry data, situational cues, sensor information, etc. Ocean utilizes a combination of crowd-sourcing, context-enhanced query expansion and personalization techniques to continually optimize query results over time. This paper presents Ocean's conceptual foundations, its reference implementation, and a preliminary evaluation that demonstrates significantly improved Smart Resource discovery results in real-world environments.
| Original language | English |
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| Title of host publication | 2014 IEEE International Conference on Internet of Things (iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) |
| Number of pages | 8 |
| Place of Publication | Taipei, Taiwan |
| Publisher | IEEE |
| Publication date | 01.09.2014 |
| Pages | 177-184 |
| ISBN (Print) | 978-1-4799-5967-9 |
| DOIs | |
| Publication status | Published - 01.09.2014 |
| Event | 2014 IEEE International Conference on Internet of Things (iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) - Taipei, Taiwan, Province of China Duration: 01.09.2014 → 03.09.2014 |
