Agent-based context consistency management in smart space environments

Wan Rong Jih; Jane Yung Jen Hsu; Han Wen Chang

doi:10.1007/978-3-642-10739-9_4

Agent-based context consistency management in smart space environments

Wan Rong Jih^*, Jane Yung Jen Hsu, Han Wen Chang

^*Corresponding author for this work

National Taiwan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Context-aware systems in smart space environments must be aware of the context of their surroundings and adapt to changes in highly dynamic environments. Data management of contextual information is different from traditional approaches because the contextual information is dynamic, transient, and fallible in nature. Consequently, the capability to detect context inconsistency and maintain consistent contextual information are two key issues for context management. We propose an ontology-based model for representing, deducing, and managing consistent contextual information. In addition, we use ontology reasoning to detect and resolve context inconsistency problems, which will be described in a Smart Alarm Clock scenario.

Original language	English
Title of host publication	Service-Oriented Computing
Subtitle of host publication	Agents, Semantics, and Engineering - AAMAS 2009 International Workshop, SOCASE 2009, Proceedings
Pages	41-55
Number of pages	15
DOIs	https://doi.org/10.1007/978-3-642-10739-9_4
State	Published - 2009
Externally published	Yes
Event	International Workshop on Service-Oriented Computing: Agents, Semantics, and Engineering, SOCASE 2009, in conj. with the 7th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2009 - Budapest, Hungary Duration: 11 05 2009 → 11 05 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5907 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Workshop on Service-Oriented Computing: Agents, Semantics, and Engineering, SOCASE 2009, in conj. with the 7th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2009
Country/Territory	Hungary
City	Budapest
Period	11/05/09 → 11/05/09

Access to Document

10.1007/978-3-642-10739-9_4

Cite this

Jih, W. R., Hsu, J. Y. J., & Chang, H. W. (2009). Agent-based context consistency management in smart space environments. In Service-Oriented Computing: Agents, Semantics, and Engineering - AAMAS 2009 International Workshop, SOCASE 2009, Proceedings (pp. 41-55). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5907 LNCS). https://doi.org/10.1007/978-3-642-10739-9_4

Jih, Wan Rong ; Hsu, Jane Yung Jen ; Chang, Han Wen. / Agent-based context consistency management in smart space environments. Service-Oriented Computing: Agents, Semantics, and Engineering - AAMAS 2009 International Workshop, SOCASE 2009, Proceedings. 2009. pp. 41-55 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{0ed553fd0ea84dedbf63261d0e4234ce,

title = "Agent-based context consistency management in smart space environments",

abstract = "Context-aware systems in smart space environments must be aware of the context of their surroundings and adapt to changes in highly dynamic environments. Data management of contextual information is different from traditional approaches because the contextual information is dynamic, transient, and fallible in nature. Consequently, the capability to detect context inconsistency and maintain consistent contextual information are two key issues for context management. We propose an ontology-based model for representing, deducing, and managing consistent contextual information. In addition, we use ontology reasoning to detect and resolve context inconsistency problems, which will be described in a Smart Alarm Clock scenario.",

author = "Jih, {Wan Rong} and Hsu, {Jane Yung Jen} and Chang, {Han Wen}",

year = "2009",

doi = "10.1007/978-3-642-10739-9_4",

language = "英语",

isbn = "3642107389",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "41--55",

booktitle = "Service-Oriented Computing",

note = "International Workshop on Service-Oriented Computing: Agents, Semantics, and Engineering, SOCASE 2009, in conj. with the 7th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2009 ; Conference date: 11-05-2009 Through 11-05-2009",

}

Jih, WR, Hsu, JYJ & Chang, HW 2009, Agent-based context consistency management in smart space environments. in Service-Oriented Computing: Agents, Semantics, and Engineering - AAMAS 2009 International Workshop, SOCASE 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5907 LNCS, pp. 41-55, International Workshop on Service-Oriented Computing: Agents, Semantics, and Engineering, SOCASE 2009, in conj. with the 7th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2009, Budapest, Hungary, 11/05/09. https://doi.org/10.1007/978-3-642-10739-9_4

Agent-based context consistency management in smart space environments. / Jih, Wan Rong; Hsu, Jane Yung Jen; Chang, Han Wen.
Service-Oriented Computing: Agents, Semantics, and Engineering - AAMAS 2009 International Workshop, SOCASE 2009, Proceedings. 2009. p. 41-55 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5907 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Context-aware systems in smart space environments must be aware of the context of their surroundings and adapt to changes in highly dynamic environments. Data management of contextual information is different from traditional approaches because the contextual information is dynamic, transient, and fallible in nature. Consequently, the capability to detect context inconsistency and maintain consistent contextual information are two key issues for context management. We propose an ontology-based model for representing, deducing, and managing consistent contextual information. In addition, we use ontology reasoning to detect and resolve context inconsistency problems, which will be described in a Smart Alarm Clock scenario.

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Jih WR, Hsu JYJ, Chang HW. Agent-based context consistency management in smart space environments. In Service-Oriented Computing: Agents, Semantics, and Engineering - AAMAS 2009 International Workshop, SOCASE 2009, Proceedings. 2009. p. 41-55. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-10739-9_4

Agent-based context consistency management in smart space environments

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