Reasoning about context in ambient intelligence environments: A report from the field

Grigoris Antoniou; Constantinos Papatheodorou; Antonis Bikakis

Reasoning about context in ambient intelligence environments: A report from the field

Grigoris Antoniou, Constantinos Papatheodorou, Antonis Bikakis

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

Abstract

The study of ambient computing (AmI) environments and pervasive computing systems has introduced new research challenges in the field of KR. These are mainly caused by the imperfect nature of context information, and the need to provide distributed reasoning capabilities. [4] characterizes four types of imperfect context information: unknown, ambiguous (inconsistent), imprecise, and erroneous. These imperfections may be caused by hardware, communication and sensor failures, and the need to integrate information from various sources.

Original language	English
Title of host publication	KR'10
Subtitle of host publication	Proceedings of the 12th International Conference on Principles of Knowledge Representation and Reasoning
Editors	Fangzhen Lin, Ulrike Sattler, Miroslaw Truszczynski
Publisher	AAAI press
Pages	557-559
Number of pages	3
ISBN (Print)	9781577354512
Publication status	Published - 1 May 2010
Externally published	Yes
Event	12th International Conference on Principles of Knowledge Representation and Reasoning - Toronto, Canada Duration: 9 May 2010 → 13 May 2010 Conference number: 12

Conference

Conference	12th International Conference on Principles of Knowledge Representation and Reasoning
Abbreviated title	KR 2010
Country/Territory	Canada
City	Toronto
Period	9/05/10 → 13/05/10

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https://dl.acm.org/doi/10.5555/3031748.3031820Licence: Unspecified

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Antoniou, G., Papatheodorou, C., & Bikakis, A. (2010). Reasoning about context in ambient intelligence environments: A report from the field. In F. Lin, U. Sattler, & M. Truszczynski (Eds.), KR'10: Proceedings of the 12th International Conference on Principles of Knowledge Representation and Reasoning (pp. 557-559). AAAI press. https://dl.acm.org/doi/10.5555/3031748.3031820

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title = "Reasoning about context in ambient intelligence environments: A report from the field",

abstract = "The study of ambient computing (AmI) environments and pervasive computing systems has introduced new research challenges in the field of KR. These are mainly caused by the imperfect nature of context information, and the need to provide distributed reasoning capabilities. [4] characterizes four types of imperfect context information: unknown, ambiguous (inconsistent), imprecise, and erroneous. These imperfections may be caused by hardware, communication and sensor failures, and the need to integrate information from various sources. ",

keywords = "Description logics, Reasoning, Inconsistency, Networks, Network types, Mobile networks",

author = "Grigoris Antoniou and Constantinos Papatheodorou and Antonis Bikakis",

year = "2010",

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language = "English",

isbn = "9781577354512",

pages = "557--559",

editor = "Fangzhen Lin and Ulrike Sattler and Miroslaw Truszczynski",

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note = "12th International Conference on Principles of Knowledge Representation and Reasoning, KR 2010 ; Conference date: 09-05-2010 Through 13-05-2010",

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Antoniou, G, Papatheodorou, C & Bikakis, A 2010, Reasoning about context in ambient intelligence environments: A report from the field. in F Lin, U Sattler & M Truszczynski (eds), KR'10: Proceedings of the 12th International Conference on Principles of Knowledge Representation and Reasoning. AAAI press, pp. 557-559, 12th International Conference on Principles of Knowledge Representation and Reasoning, Toronto, Ontario, Canada, 9/05/10. <https://dl.acm.org/doi/10.5555/3031748.3031820>

Reasoning about context in ambient intelligence environments : A report from the field. / Antoniou, Grigoris; Papatheodorou, Constantinos; Bikakis, Antonis.

KR'10: Proceedings of the 12th International Conference on Principles of Knowledge Representation and Reasoning. ed. / Fangzhen Lin; Ulrike Sattler; Miroslaw Truszczynski. AAAI press, 2010. p. 557-559.

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

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T1 - Reasoning about context in ambient intelligence environments

T2 - 12th International Conference on Principles of Knowledge Representation and Reasoning

AU - Antoniou, Grigoris

AU - Papatheodorou, Constantinos

AU - Bikakis, Antonis

N1 - Conference code: 12

PY - 2010/5/1

Y1 - 2010/5/1

N2 - The study of ambient computing (AmI) environments and pervasive computing systems has introduced new research challenges in the field of KR. These are mainly caused by the imperfect nature of context information, and the need to provide distributed reasoning capabilities. [4] characterizes four types of imperfect context information: unknown, ambiguous (inconsistent), imprecise, and erroneous. These imperfections may be caused by hardware, communication and sensor failures, and the need to integrate information from various sources.

AB - The study of ambient computing (AmI) environments and pervasive computing systems has introduced new research challenges in the field of KR. These are mainly caused by the imperfect nature of context information, and the need to provide distributed reasoning capabilities. [4] characterizes four types of imperfect context information: unknown, ambiguous (inconsistent), imprecise, and erroneous. These imperfections may be caused by hardware, communication and sensor failures, and the need to integrate information from various sources.

KW - Description logics

KW - Reasoning

KW - Inconsistency

KW - Networks

KW - Network types

KW - Mobile networks

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UR - https://dl.acm.org/doi/proceedings/10.5555/3031748

M3 - Conference contribution

AN - SCOPUS:78449258157

SN - 9781577354512

SP - 557

EP - 559

BT - KR'10

A2 - Lin, Fangzhen

A2 - Sattler, Ulrike

A2 - Truszczynski, Miroslaw

PB - AAAI press

Y2 - 9 May 2010 through 13 May 2010

ER -

Reasoning about context in ambient intelligence environments: A report from the field

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