Semantic Web Based Self-Management for a Pervasive Service Middleware

Zhang, Weishan; Hansen, Klaus

doi:10.1109/saso.2008.14

Cited by 25 publications

(18 citation statements)

References 11 publications

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“…We design our middleware to support not only semantic models but also estimation models that perform all of these tasks transparently, in the background, without ever burdening the application with the internal details of this process. In some ways, it can be said that this aspect of our approach bears some similarity with Google's Prediction API 3 . This is a web service which allows application writers to train and use classifiers on their own datasets without requiring any knowledge of machine learning or data mining.…”

Section: Related Workmentioning

confidence: 97%

“…But while some projects focus on abstracting the devices in the network as services (such as in HYDRA [1][2][3], SENSEI [4], SOCRADES [5], and COBIS [6]), other projects devote more attention to data/information abstractions and their integrations with services (among which are SOFIA 1 [7], SATware [8], and Global Sensor Networks GSN [9]). A common thread throughout all of these solutions, however, is that they handle the challenge of unknown topology through the use of discovery methods that are largely based on the traditional service/resource discovery approaches of the existing Internet, ubiquitous environments and Wireless Sensor & Actuator Networks [10][11][12].…”

Section: Related Workmentioning

confidence: 99%

“…Some projects even go a step further and also include context information [4], or service descriptions [1][2][3]. And as a type of service composition, many projects support the concept of virtual/semantic sensors (for instance, in HYDRA, GSN and SATware), i.e.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Service Oriented Middleware for the Internet of Things: A Perspective

Teixeira

Hachem

Issarny

et al. 2011

Towards a Service-Based Internet

104

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Abstract. The Internet of Things plays a central role in the foreseen shift of the Internet to the Future Internet, as it incarnates the drastic expansion of the Internet network with non-classical ICT devices. It will further be a major source of evolution of usage, due to the penetration in the user's life. As such, we envision that the Internet of Things will cooperate with the Internet of Services to provide users with services that are aware of their surrounding environment. The supporting service-oriented middleware shall then abstract the functionalities of Things as services as well as provide the needed interoperability and flexibility, through a loose coupling of components and composition of services. Still, core functionalities of the middleware, namely service discovery and composition, need to be revisited to meet the challenges posed by the Internet of Things. Challenges in particular relate to the ultra large scale, heterogeneity and dynamics of the Internet of Things that are far beyond the ones of today's Internet of Services. In addition, new challenges also arise, pertaining to the physical-world aspect that is central to the IoT. In this paper, we survey the major challenges posed to service-oriented middleware towards sustaining a service-based Internet of Things, together with related state of the art. We then concentrate on the specific solutions that we are investigating within the INRIA ARLES project team as part of the CHOReOS European project, discussing new approaches to overcome the challenges particular to the Internet of Things.

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Section: Related Workmentioning

confidence: 97%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Service Oriented Middleware for the Internet of Things: A Perspective

Teixeira

Hachem

Issarny

et al. 2011

Towards a Service-Based Internet

104

View full text Add to dashboard Cite

show abstract

“…HYDRA [Eisenhauer et al 2010;Zhang and Hansen 2008] proposes a serviceoriented middleware platform for networked embedded systems, which supports a model-driven development of ambient intelligence applications, based on ontologies of semantic devices. Semantic rules are used for diagnosing possible malfunctioning in the system, however, there is no support for intelligent composition generation to deal with such situations.…”

Section: Smart Homes Projectsmentioning

confidence: 99%

Coordinating the web of services for a smart home

et al. 2013

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Domotics, concerned with the realization of intelligent home environments, is a novel field which can highly benefit from solutions inspired by service-oriented principles to enhance the convenience and security of modern home residents. In this work, we present an architecture for a smart home, starting from the lower device interconnectivity level up to the higher application layers that undertake the load of complex functionalities and provide a number of services to end-users. We claim that in order for smart homes to exhibit a genuinely intelligent behavior, the ability to compute compositions of individual devices automatically and dynamically is paramount. To this end, we incorporate into the architecture a composition component that employs artificial intelligence domain-independent planning to generate compositions at runtime, in a constantly evolving environment. We have implemented a fully working prototype that realizes such an architecture, and have evaluated it both in terms of performance as well as from the end-user point of view. The results of the evaluation show that the service-oriented architectural design and the support for dynamic compositions is quite efficient from the technical point of view, and that the system succeeds in satisfying the expectations and objectives of the users.

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“…• Incomplete or inaccurate metadata: A common solution to all challenges above is the use of semantic technologies to increment knowledge with metadata [2,3,4,5]. However, this requires input from human operators who are highly prompt to provide incomplete/inaccurate metadata.…”

Section: Introductionmentioning

confidence: 99%

Ontologies for the internet of things

Hachem

Teixeira

Issarny

2011

Proceedings of the 8th Middleware Doctoral Symposium

127

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Challenges the Internet of Things (IoT) is facing are directly inherited from today's Internet. However, they are amplified by the anticipated large scale deployments of devices and services, information flow and involved users in the IoT. Challenges are many and we focus on addressing those related to scalability, heterogeneity of IoT components, and the highly dynamic and unknown nature of the network topology. In this paper, we give an overview of a service-oriented middleware solution that addresses those challenges using semantic technologies to provide interoperability and flexibility. We especially focus on modeling a set of ontologies that describe devices and their functionalities and thoroughly model the domain of physics. The physics domain is indeed at the core of the IoT, as it allows the approximation and estimation of functionalities usually provided by things. Those functionalities will be deployed as services on appropriate devices through our middleware.

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Semantic Web Based Self-Management for a Pervasive Service Middleware

Cited by 25 publications

References 11 publications

Service Oriented Middleware for the Internet of Things: A Perspective

Service Oriented Middleware for the Internet of Things: A Perspective

Coordinating the web of services for a smart home

Ontologies for the internet of things

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