A Framework for Situation Awareness Based upon Dynamic Situation Modeling

Ryan Pearson; Mark Donnelly; Jun Liu; Leo Galway

doi:10.1007/978-3-319-13105-4_15

A Framework for Situation Awareness Based upon Dynamic Situation Modeling

Ryan Pearson, Mark Donnelly, Jun Liu, Leo Galway

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

Abstract

This paper proposes a framework to model dynamically changing situations in real world environments. In the real world, situations naturally vary in how they occur. Understanding these variations is essential to establish accurate knowledge of the environment and provide situation aware services. Current approaches to situation modeling may benefit from the inclusion of a dedicated method of adapting to changes in how situations occur over time. The proposed framework is introduced and a description of its components and their relations is provided. The proposed implementation of the framework is described in a smart office based scenario.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	Springer
Pages	99-102
Number of pages	4
Volume	8868
ISBN (Print)	978-3-319-13104-7
DOIs	https://doi.org/10.1007/978-3-319-13105-4_15
Publication status	Accepted/In press - 2 Sept 2014
Event	6th International Work-Conference, IWAAL 2014 - Belfast, UK Duration: 2 Sept 2014 → …

Conference

Conference	6th International Work-Conference, IWAAL 2014
Period	2/09/14 → …

Keywords

Situation Awareness
Knowledge Representation
Sensor Data Fusion

Access to Document

10.1007/978-3-319-13105-4_15

Cite this

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title = "A Framework for Situation Awareness Based upon Dynamic Situation Modeling",

abstract = "This paper proposes a framework to model dynamically changing situations in real world environments. In the real world, situations naturally vary in how they occur. Understanding these variations is essential to establish accurate knowledge of the environment and provide situation aware services. Current approaches to situation modeling may benefit from the inclusion of a dedicated method of adapting to changes in how situations occur over time. The proposed framework is introduced and a description of its components and their relations is provided. The proposed implementation of the framework is described in a smart office based scenario.",

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N2 - This paper proposes a framework to model dynamically changing situations in real world environments. In the real world, situations naturally vary in how they occur. Understanding these variations is essential to establish accurate knowledge of the environment and provide situation aware services. Current approaches to situation modeling may benefit from the inclusion of a dedicated method of adapting to changes in how situations occur over time. The proposed framework is introduced and a description of its components and their relations is provided. The proposed implementation of the framework is described in a smart office based scenario.

AB - This paper proposes a framework to model dynamically changing situations in real world environments. In the real world, situations naturally vary in how they occur. Understanding these variations is essential to establish accurate knowledge of the environment and provide situation aware services. Current approaches to situation modeling may benefit from the inclusion of a dedicated method of adapting to changes in how situations occur over time. The proposed framework is introduced and a description of its components and their relations is provided. The proposed implementation of the framework is described in a smart office based scenario.

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KW - Sensor Data Fusion

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