Architectural Support for Global Smart Spaces

Dearle, Alan; Kirby, Graham N. C.; Morrison, Ronald; McCarthy, Andrew J.; Mullen, Kevin; Yang, Yanyan; Connor, Richard; Welen, Paula; Wilson, Andy

doi:10.1007/3-540-36389-0_11

Cited by 26 publications

(16 citation statements)

References 10 publications

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“…The ontology based context model has been used in many context-aware systems, e.g. CoBrA [12], [13], Gaia [14], [15], GLOSS [16], [17], ASC [18], [19], CONON in SOCAM [20], and GAS [21].…”

Section: Related Workmentioning

confidence: 99%

“…A GLObal Smart Space (GLOSS) [16], [17] is architecture to support interaction among people, artifacts and places. In GLOSS, some ontology was designed to describe a small set of concepts for a universe of discourse.…”

Section: Related Workmentioning

confidence: 99%

“…δ(c) and δ(pre-c) are used to represent the danger degree of a detected context and a predefined context, respectively. Then we assign the danger degree of the predefined context to the detected context if the context similarity is larger than a threshold as shown in formula (16). It can be used for both single-user context and multi-user context.…”

Section: Danger Degree Assignmentmentioning

confidence: 99%

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A Flexible and Accurate Reasoning Method for Danger-Aware Services Based on Context Similarity from Feature Point of View

Wang

Cheng²,

Chen

et al. 2011

IEICE Trans. Inf. & Syst.

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SUMMARYContext awareness is viewed as one of the most important goals in the pervasive computing paradigm. As one kind of context awareness, danger awareness describes and detects dangerous situations around a user, and provides services such as warning to protect the user from dangers. One important problem arising in danger-aware systems is that the description/definition of dangerous situations becomes more and more complex, since many factors have to be considered in such description, which brings a big burden to the developers/users and thereby reduces the reliability of the system. It is necessary to develop a flexible reasoning method, which can ease the description/definition of dangerous situations by reasoning dangers using limited specified/predefined contexts/rules, and increase system reliability by detecting unspecified dangerous situations. Some reasoning mechanisms based on context similarity were proposed to address the above problems. However, the current mechanisms are not so accurate in some cases, since the similarity is computed from only basic knowledge, e.g. nature property, such as material, size etc, and category information, i.e. they may cause false positive and false negative problems. To solve the above problems, in this paper we propose a new flexible and accurate method from feature point of view. Firstly, a new ontology explicitly integrating basic knowledge and danger feature is designed for computing similarity in danger-aware systems. Then a new method is proposed to compute object similarity from both basic knowledge and danger feature point of views when calculating context similarity. The method is implemented in an indoor ubiquitous test bed and evaluated through experiments. The experiment result shows that the accuracy of system can be effectively increased based on the comparison between system decision and estimation of human observers, comparing with the existing methods. And the burden of defining dangerous situations can be decreased by evaluating trade-off between the system's accuracy and burden of defining dangerous situations.

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“…The ontology based context model has been used in many context-aware systems, e.g. CoBrA [12], [13], Gaia [14], [15], GLOSS [16], [17], ASC [18], [19], CONON in SOCAM [20], and GAS [21].…”

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Danger Degree Assignmentmentioning

confidence: 99%

See 1 more Smart Citation

A Flexible and Accurate Reasoning Method for Danger-Aware Services Based on Context Similarity from Feature Point of View

Wang

Cheng²,

Chen

et al. 2011

IEICE Trans. Inf. & Syst.

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show abstract

“…They are typically only appropriate for a single application domain or deployment scenario, e.g., smart spaces [2,3], tracking of valuable goods [4,5] or robotics [6,7]. Moreover, they fail to handle some or all of the non-functional requirements expected of emerging context-aware applications such as timeliness, reliability, mobility and scalability.…”

Section: Introductionmentioning

confidence: 99%

MoCoA: Customisable Middleware for Context-Aware Mobile Applications

Senart

Cunningham

Bouroche

et al. 2006

On the Move to Meaningful Internet Systems 2006: CoopIS, DOA, GADA, and ODBASE

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Abstract. Many programming models have been proposed to facilitate the development of context-aware applications. However, previous work does not offer support for building customised systems and has largely been targeted at a single application domain. In this paper, we describe MoCoA, a flexible middleware framework that permits the rapid development of context-aware applications and supports deployment scenarios ranging from augmented artefacts to city-wide smart-space applications. Crucially, MoCoA supports a small set of programming abstractions that are suitable for building a wide range of context-aware applications for deployment in a fixed or (ad hoc) mobile environment. For each of these abstractions, MoCoA provides a set of implementations via a library of components. We present three applications of the MoCoA framework that demonstrate both the use of the programming abstractions and the flexibility of the framework.

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“…GLOSS [9] composes heterogeneous context management systems through hierarchical or peer-to-peer interconnection methods. By introducing the notion of Global Smart Spaces, GLOSS supports interaction amongst people, artifacts and places while taking account of both context and movement on a global scale that facilitates the implementation of locationaware services.…”

Section: Limitations Of Current Approachesmentioning

confidence: 99%

Jabber-based Cross-Domain Efficient and Privacy-Ensuring Context Management Framework

Jaroucheh¹,

Liu²,

Smith³

2013

IJACSA

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Abstract-inpervasive environments, context-aware applications require a global knowledge of the context information distributed in different spatial domains in order to establish context-based interactions. Therefore, the design of distributed storage, retrieval, and dissemination mechanisms of context information across domains becomes vital. In such environments, we envision the necessity of collaboration between different context servers distributed in different domains; thus, the need for generic APIs and protocol allowing context information exchange between different entities: context servers, context providers, and context consumers. As a solution this paper proposes ubique, a distributed middleware for contextaware computing that allows applications to maintain domainbased context interests to access context information about users, places, events, and things -all made available by or brokered through the home domain server. This paper proposes also a new cross-domain protocol for context management which ensures the privacy and the efficiency of context information dissemination. It has been robustly built upon the Jabber protocol which is a widely adopted open protocol for instant messaging and is designed for near real-time communication. Simulation and experimentation results show that ubique framework well supports robust cross-domain context management and collaboration.

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Architectural Support for Global Smart Spaces

Cited by 26 publications

References 10 publications

A Flexible and Accurate Reasoning Method for Danger-Aware Services Based on Context Similarity from Feature Point of View

A Flexible and Accurate Reasoning Method for Danger-Aware Services Based on Context Similarity from Feature Point of View

MoCoA: Customisable Middleware for Context-Aware Mobile Applications

Jabber-based Cross-Domain Efficient and Privacy-Ensuring Context Management Framework

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