Ambient Ocean: A Web Search Engine for Context-Aware Smart Resource Discovery

D. Carlson; A. Schrader

doi:10.1109/iThings.2014.34

Ambient Ocean: A Web Search Engine for Context-Aware Smart Resource Discovery

D. Carlson, A. Schrader

Institute of Telematics

9 Citations (Scopus)

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
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	https://doi.org/10.1109/iThings.2014.34
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

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production

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10.1109/iThings.2014.34

Cite this

@inproceedings{aa53b4c1b2014e659b181b213e44a0a0,

title = "Ambient Ocean: A Web Search Engine for Context-Aware Smart Resource Discovery",

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.",

author = "D. Carlson and A. Schrader",

year = "2014",

month = sep,

day = "1",

doi = "10.1109/iThings.2014.34",

language = "English",

isbn = "978-1-4799-5967-9",

pages = "177--184",

booktitle = "2014 IEEE International Conference on Internet of Things (iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom)",

publisher = "IEEE",

note = "2014 IEEE International Conference on Internet of Things (iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) ; Conference date: 01-09-2014 Through 03-09-2014",

}

Carlson, D & Schrader, A 2014, Ambient Ocean: A Web Search Engine for Context-Aware Smart Resource Discovery. in 2014 IEEE International Conference on Internet of Things (iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom). IEEE, Taipei, Taiwan, pp. 177-184, 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, 01.09.14. https://doi.org/10.1109/iThings.2014.34

Ambient Ocean: A Web Search Engine for Context-Aware Smart Resource Discovery. / Carlson, D.; Schrader, A.
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: IEEE, 2014. p. 177-184.

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

TY - GEN

T1 - Ambient Ocean: A Web Search Engine for Context-Aware Smart Resource Discovery

AU - Carlson, D.

AU - Schrader, A.

PY - 2014/9/1

Y1 - 2014/9/1

N2 - 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.

AB - 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.

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U2 - 10.1109/iThings.2014.34

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M3 - Conference contribution

SN - 978-1-4799-5967-9

SP - 177

EP - 184

BT - 2014 IEEE International Conference on Internet of Things (iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom)

PB - IEEE

CY - Taipei, Taiwan

T2 - 2014 IEEE International Conference on Internet of Things (iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom)

Y2 - 1 September 2014 through 3 September 2014

ER -

Ambient Ocean: A Web Search Engine for Context-Aware Smart Resource Discovery

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