A Multilevel Index Model to Expedite Web Service Discovery and Composition in Large-Scale Service Repositories

Semantic Web Service technology is the solution to system integration and business collaboration for smart government which is cross-border and heterogeneous on a large scale. However the tremendous Web services search space caused by the wide range, large scale and complex e-government business systems is one of the great challenges for smart government. The paper focuses on researches about service discovery in e-government business integration for smart government. In accordance with the application environment and the current technical status of e-government, the author proposes a multi-strategy Web service discovery method on the basis of the proposed semantic model. The discovery process comprises three stages: keyword query with semantic enhancement, IO semantic matching and PE semantic matching. Finally similarity calculating method is proposed to evaluate the matching degree of each candidate service for service selection as well as the conclusions.

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WEB SERVICE DISCOVERY FOR LARGE SCALE IOT DEPLOYMENTS

Services Transactions on Services Computing ◽

10.29268/stsc.2016.4.1.5 ◽

2016 ◽

Vol 4 (1) ◽

pp. 55-68 ◽

Cited By ~ 1

Author(s):

Yehia Elshater ◽

◽

Khalid Elgazzar ◽

Patrick Martin ◽

◽

...

Keyword(s):

Web Service ◽

Service Discovery ◽

Large Scale ◽

Web Service Discovery

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Web Service Integration and Management Strategies for Large-Scale Datasets

Database Modeling for Industrial Data Management ◽

10.4018/978-1-59140-684-6.ch007 ◽

2011 ◽

pp. 217-243

Author(s):

Yannis Panagis ◽

Evangelos Sakkopoulos ◽

Spyros Sioutas ◽

Athanasios Tsakalidis

Keyword(s):

Web Services ◽

Web Service ◽

Service Discovery ◽

Large Scale ◽

Management Strategies ◽

Service Integration ◽

Service Architecture ◽

Web Service Discovery ◽

Large Scale Data ◽

Scale Data

This chapter presents the Web Service architecture and proposes Web Service integration and management strategies for large-scale datasets. The main part of this chapter presents the elements of Web Service architecture, the challenges in implementing Web Services whenever large-scale data are involved and the design decisions and businessprocess re-engineering steps to integrate Web Services in an enterprise information system. The latter are presented in the context of a case study involving the largest private-sector telephony provider in Greece, where the provider’s billing system datasets are utilized. Moreover, scientific work on Web Service discovery is presented along with experiments on implementing an elaborate discovery strategy over real-world, large-scale data. Thereby, this chapter aims to illustrate the necessary actions to implement Web Services in a corporate environment, stress the associated benefits, to present the necessary business process re-engineering procedures and to highlight the need for more efficient Web Service discovery.

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