E-Service Composition

2012 ◽  
pp. 71-98
Keyword(s):  
Service Composition ◽  
User Satisfaction ◽  
Service Discovery ◽  
Visual Programming ◽  
End Users ◽  
Service Orchestration ◽  
Systematic Overview ◽  
Tremendous Amount ◽  
Semantic Service ◽  
Service Customization

This chapter discusses Web environments that allow users to compose services in a visual manner, without the need to write programs. This is similar to the concept of visual programming. Visual service composition can potentially make service customization by end users a possibility. By empowering users to create their customized e-services, businesses can save a tremendous amount of resources in customization effort, and, at the same time, improve user satisfaction. This chapter discusses approaches for e-service composition and service discovery, the related concepts of service orchestration and choreography, and the technologies, languages, and tools involved during composition such as semantic service composition and ontologies, mashups, and environments such as Yahoo pipes. It concludes with a systematic overview of the functionality of consumer driven service composition tools and to propose a list of basic requirements for such tools.

An Integrated Framework for Semantic Service Composition using Answer Set Programming

2014 ◽  
Vol 11 (4) ◽  
pp. 47-61 ◽  
Author(s):  
Yilong Yang ◽  
Jing Yang ◽  
Xiaoshan Li ◽  
Weiru Wang
Keyword(s):  
Service Composition ◽  
Service Discovery ◽  
Answer Set Programming ◽  
Ai Planning ◽  
Top Down ◽  
Integrated Framework ◽  
Service Computing ◽  
Semantic Service ◽  
Planning Approaches ◽  
Answer Set

Notwithstanding the advancement of service computing in recent years, service composition is still main issue in this field. In this paper, the authors present an integrated framework for semantic service composition using answer set programming. Unlike the AI planning approaches of top-down workflow with nested composition and combining composition procedure into service discovery, this proposed framework integrates designed workflow with nested composition. In addition, the planning is based on interface variables with validation through pre and post conditions. Moreover, a unified implementation of service discovery, selection, composition and validation is achieved by answer set programming. Finally, the framework performance is demonstrated by a travel booking example on QWSDataset.

An Integrated Framework for Semantic Service Composition Using Answer Set Programming (SSC-ASP)

2019 ◽  
pp. 1-22
Author(s):  
Yilong Yang
Keyword(s):  
Service Composition ◽  
Service Discovery ◽  
Answer Set Programming ◽  
Main Issue ◽  
Ai Planning ◽  
Top Down ◽  
Integrated Framework ◽  
Service Computing ◽  
Semantic Service ◽  
Answer Set

Notwithstanding the advancement of service computing in recent years, service composition is still a main issue in this field. In this chapter, the authors present an integrated framework for semantic service composition using answer set programming. Unlike the AI planning approaches of top-down workflow with nested composition and combining composition procedure into service discovery, the proposed framework integrates a designed service workflow with automatic nested composition. In addition, the planning is based on service signature while validating through service contract. Moreover, a unified implementation of service discovery, selection, composition, and validation is achieved by answer set programming. Finally, the performance of proposed framework is demonstrated by a travel booking example on QWSDataset.

Next-generation applications in healthcare digital libraries using semantic service composition and coordination

2006 ◽  
Vol 12 (2) ◽  
pp. 107-119 ◽  
Author(s):  
Thorsten Möller ◽  
Heiko Schuldt ◽  
Andreas Gerber ◽  
Matthias Klusch
Keyword(s):  
Digital Libraries ◽  
Service Composition ◽  
Next Generation ◽  
Semantic Service

A QoS-aware approach for runtime discovery, selection and composition of semantic web services

2016 ◽  
Vol 12 (2) ◽  
pp. 177-200 ◽  
Author(s):  
Sanjay Garg ◽  
Kirit Modi ◽  
Sanjay Chaudhary
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
User Satisfaction ◽  
Service Discovery ◽  
Semantic Web Services ◽  
Functional Requirements ◽  
Semantic Description ◽  
Content Type ◽  
The Web

Purpose Web services play vital role in the development of emerging technologies such as Cloud computing and Internet of Things. Although, there is a close relationship among the discovery, selection and composition tasks of Web services, research community has treated these challenges at individual level rather to focus on them collectively for developing efficient solution, which is the purpose of this work. This paper aims to propose an approach to integrate the service discovery, selection and composition of Semantic Web services on runtime basis. Design/methodology/approach The proposed approach defined as a quality of service (QoS)-aware approach is based on QoS model to perform discovery, selection and composition tasks at runtime to enhance the user satisfaction and quality guarantee by incorporating non-functional parameters such as response time and throughput with the Web services and user request. In this paper, the proposed approach is based on ontology for semantic description of Web services, which provides interoperability and automation in the Web services tasks. Findings This work proposed an integrated framework of Web service discovery, selection and composition which supports end user to search, select and compose the Web services at runtime using semantic description and non-functional requirements. The proposed approach is evaluated by various data sets from the Web Service Challenge 2009 (WSC-2009) to show the efficiency of this work. A use case scenario of Healthcare Information System is implemented using proposed work to demonstrate the usability and requirement the proposed approach. Originality/value The main contribution of this paper is to develop an integrated approach of Semantic Web services discovery, selection and composition by using the non-functional requirements.

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