Service Composition in Knowledge-based SOA Systems

Abstract. One of the most important directions in the development of eHealth systems is their personalization. Body area networks with wireless sensors and portable access devices allow one to design applications for supporting people in their daily activities. On the other hand, they require substantial data analysis and processing which are inherent features of the medical domain. We describe few service-based applications utilizing a Future Internet architecture which supports QoS guarantees for the communication between their components and also show how they can benefit from its features such as quality of service (QoS) provisioning and resources reservation. We demonstrate how proposed applications address content, context and user awareness based on the underlying Next Generation Network (NGN) infrastructure and give examples of decision-making tasks performed by applications. IntroductionComposition of Body Area Networks systems with the use of wireless sensors and smartphones makes it possible to:• perform vital sign measurements "anywhere and anytime"; • process measurement data on the smartphone or in a computer centre that provides services via a network.These possibilities enable one to design intelligent eHealth applications. Roughly speaking, we understand the intelligence of the eHealth application as:• distributed measurement data acquisition and processing;• decision-making support; • ability to compose services tailored to the needs of users and the profile (context, content and user awareness)./indexuser awareness All of the above require integration of service composition approaches with the communication QoS guarantees provided by the NGN infrastructure. For that reason, the eHealth domain was chosen to demonstrate the applicability of our approach. Recently, both commercial and research teams develop solutions for supporting the everyday life of individuals (for professional and recreational purposes). Such systems provide wireless measurements of vital signs and tools to process them in order to support training and monitoring of one's state of health. In the commercial fields of applications Polar 1 belongs to the most important companies offering wearable devices and data processing tools. Wristwatches and chest-worn heart rate sensors are used to measure and present data to the user. Polar provides equipment for fitness improvement and for performance maximization. These devices are used in motivational feedback (i.e. generate beeps every time a certain amount of calories is burnt). It is useful in preventing injuries and overtraining. Moreover, Polar's software provides tools to optimize training intensity. Suunto 2 provides devices that generate a personalised training plan. These devices are capable of making recommendations for training volume (i.e. the frequency, duration and intensity). Additionally, a proposed training plan may be adjusted to the user's current capabilities (i.e. when user's activity level decreases).The miCoach 3 product from Adidas is an advanced training tool ...

show abstract

“…All the mentioned services provide an adaptive control system [17,27,28] supporting the user in a real-time (see Fig. 6.7) configuration.…”

Section: Decision-making Supportmentioning

confidence: 99%

Development of Intelligent eHealth Systems in the Future Internet Architecture

Świątek

Brzostowski

Drapała

et al. 2015

Innovative Technologies in Management and Science

Self Cite

View full text Add to dashboard Cite

show abstract

“…Research presented in this paper will be included in the PlaTel platform for composition and management of telecommunication services [16] as part of the composite service execution engine dynamic behavior component. This research is a part of ongoing research on service composition and its application to various domains like telecommunication, sports or transport.…”

Section: Conclusion and Further Workmentioning

confidence: 99%

Service Composition Scenarios in the Internet of Things Paradigm

Stelmach

2013

IFIP Advances in Information and Communication Technology

Self Cite

View full text Add to dashboard Cite

Abstract.In this work the topic of service composition scenarios is introduced and discussed with the use of leading example of service composition in the transport domain. The example is used to visualize the connection to the Internet of Things paradigm. The service composition itself is defined with a holistic approach, describing all steps of the proposed composition process like: requirements definition, requirements decomposition or aggregation using domain ontology, composite service structure construction, service discovery, structure and service plan optimization. Lastly, implementation of service composition with service composition scenarios is discussed.

show abstract

“…The composition of Web services makes that a reality by building complex workflows and applications on the top of the SOA model. However, literature shows a wide range of composition approaches [15]- [19], [21], [22]. Current works often raise the topic of semantic analysis of user requirements, service discovery (meeting the functional requirements) and the selection of specific services against nonfunctional requirements (i.e.…”

Section: Introductionmentioning

confidence: 99%

Planning for composition of eHealth services

Stelmach

2013

2013 IEEE 15th International Conference on E-Health Networking, Applications and Services (Healthcom 2013)

View full text Add to dashboard Cite

In this paper, a planning-based approach to service composition in medical domain is described. A service composition problem is presented as the syntactic and semantic matching problem, where services are chained together so that one service output can be used in another service input, and in the end provide user with requested goal outputs. Focus is put on the planning aspects of the problem and searching the planning space with the use of modified GraphPlan algorithm. Modifications focus on implementation of a detailed model of service inputs and outputs. Finally, performance study is presented along with commentary on application of the algorithm in the medical domain.

show abstract

Service Composition in Knowledge-based SOA Systems

Cited by 44 publications

References 45 publications

Development of Intelligent eHealth Systems in the Future Internet Architecture

Development of Intelligent eHealth Systems in the Future Internet Architecture

Service Composition Scenarios in the Internet of Things Paradigm

Planning for composition of eHealth services

Contact Info

Product

Resources

About