From home to world - supporting context-aware applications through world models

Lehmann, Oliver; Bauer, Martin; Becker, Christian; Nicklas, Daniela

doi:10.1109/percom.2004.1276867

Cited by 48 publications

(34 citation statements)

References 17 publications

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“…This approach has been applied in the Nexus framework [8] which provides a common context model infused with spatial information to build world models that are distributed across spaces possessing rich context data sources, known as Augmented Areas. The context model is presented as a global object-based ontology for developing interoperable world models.…”

Section: Related Workmentioning

confidence: 99%

“…Lehman et al [8] suggest an exhaustive ontology for defining how context information can be shared between applications in augmented areas. However, based on our experience with a real global smart space in the transportation domain, we have found that a relatively small number of types suffices to decompose a global smart space domain model.…”

Section: Abstracting Information and Contextmentioning

confidence: 99%

See 1 more Smart Citation

Distributed Applications and Interoperable Systems

Kutvonen¹,

König

Tienari³

2006

Lecture Notes in Computer Science

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Abstract. Global smart spaces are intended to provide their inhabitants with context-aware access to pervasive services and information relevant to large geographical areas. Transportation is one obvious domain for such global smart spaces since applications can be built to exploit the variety of sensor-rich systems that have been deployed to support urban traffic control and highway management as well as within individual vehicles. This paper presents a spatial programming model designed to provide a standardised way to build contextaware global smart space applications using information that is distributed across independent (legacy, sensor-enabled, and embedded) systems by exploiting the overlapping spatial and temporal attributes of the information maintained by these systems. The spatial programming model is based on a topographical approach to modelling space that enables systems to independently define and use potentially overlapping spatial context in a consistent manner and in contrast to topological approaches, in which geographical relationships between objects are described explicitly. Moreover, this approach facilitates the incremental construction of global smart spaces since the underlying systems to be incorporated are largely decoupled. The programming model has been evaluated by building a context-aware service for multi-modal urban journey planning, as part of the development of an overall architecture for intelligent transportation systems in Dublin.

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Section: Related Workmentioning

confidence: 99%

Section: Abstracting Information and Contextmentioning

confidence: 99%

Distributed Applications and Interoperable Systems

Kutvonen¹,

König

Tienari³

2006

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…This approach has been applied in the Nexus framework [12,13] which provides a common context model infused with spatial information to build world models that are distributed across spaces possessing rich context data sources, known as Augmented Areas. The context model is presented as a global object-based ontology for developing interoperable world models.…”

Section: Related Workmentioning

confidence: 99%

“…Lehman et al [12] suggest an exhaustive ontology for defining how context information can be shared between applications in augmented areas. However, based on our experience with a real global smart space in the transportation domain, we have found that a relatively small number of types suffices to decompose a global smart space domain model.…”

Section: Abstracting Information and Contextmentioning

confidence: 99%

A framework for incremental construction of real global smart space applications

Meier

Harrington

Beckmann

et al. 2009

Pervasive and Mobile Computing

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-This article describes a standardised way to build context-aware global smart space applications using information that is distributed across independent (legacy, sensor-enabled, and embedded) systems by exploiting the overlapping spatial and temporal attributes of the information maintained by these systems. The framework supports a spatial programming model based on a topographical approach to modelling space that enables systems to independently define and use potentially overlapping spatial context in a consistent manner and in contrast to topological approaches, in which geographical relationships between objects are described explicitly. This approach is supported by an extensible data model that implicitly captures the relationships between information provided by separate underlying systems and facilitates the incremental construction of global smart spaces since the underlying systems to be incorporated are largely decoupled. The framework has been evaluated using a prototype that integrates legacy systems and context-aware services for multi-modal urban journey planning and for visualising traffic congestion.

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“…The approach proposed in the Nexus platform [Leh04] proposes representing different contextual data uniformly accounting for fields such as spatial references and temporal references, for enabling general spatial and temporal queries over a context database. The proposal described in [XuC05] suggests adopting a seven-field data structure to describe the context.…”

Section: Context-awarenessmentioning

confidence: 99%

Engineering Contextual Information for Pervasive Multiagent Systems

Castelli

Mamei

Zambonelli

Engineering Environment-Mediated Multi-Agent Systems

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Abstract. Multiagent systems for mobile and pervasive computing should extensively exploit contextual information both to adapt to user needs and to enable autonomic behavior. This raises the problem of how to represent, organize, aggregate, and make available such data so as to have it become meaningful and usable knowledge, facilitating the design and development of agents, and enabling them to acquire high-degrees of context awareness at limited efforts. In this paper, we identify the key software engineering challenges introduced by the need of accessing and exploiting huge amount of heterogeneous contextual information. Following, we survey the relevant proposals in the area of context-aware pervasive computing, data mining and granular computing discussing their potentials and limitations with regard to their adoption in the development of context-aware pervasive multiagent systems. On these bases, we propose the W4 model for contextual data and show how it can represent an effective model to enable flexible generalpurpose management of contextual knowledge, to facilitate agents in achieving high degrees of context-awareness and, overall, to facilitate the design and development of complex multiagent systems.

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From home to world - supporting context-aware applications through world models

Cited by 48 publications

References 17 publications

Distributed Applications and Interoperable Systems

Distributed Applications and Interoperable Systems

A framework for incremental construction of real global smart space applications

Engineering Contextual Information for Pervasive Multiagent Systems

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