Abstract

Web service composition is one of the key issues to develop a global land cover (GLC) information service portal. Aiming at the defect that traditional syntax and semantic service compositionare difficult to take pragmatic information into account, the paper firstly analyses three tiers of web service language and their succession relations, discusses the conceptual model of pragmatic web service, and proposes the idea of pragmatics-oriented adaptive composition method based on the analysis of some examples. On this basis it puts forward the pragmatic web service model based on Behavior-Intention through presetting and expression of service usability, users' intention, and other pragmatic information, develops the on-demand assembly method based on the agent theory and matching and reconstruction method on heterogeneous message, solves the key technological issue of algorithm applicability and heterogeneous message transformation in the process of covering web service composition on the ground, applies these methods into service combination, puts forward the pragmatic driven service composition method based on behavior-intention model, and effectively settles the issue of coordination and interaction of composite service invocation.

Highlights

  • The significance of global land cover (GLC) information has been recognized by many fields, such as global environmental change studies, biodiversity monitoring, earth system modelling and many other societal benefits areas (Herold et al, 2008; Verburg et al, 2011; Hansen and Loveland, 2012;Chen et al, 2013a;Gong et al, 2013).To facilitate the application of GLC information, many groups and organizations have published their data and provide some online processing tools in form of web service (Chen et al, 2011;Townshend et al, 2012)

  • This paper proposed a new service composition method from the view of pragmatics

  • The concept of pragmatics was put forward by Charles Morris in 1930s firstly. He thought that linguistics includes three parts: namely syntax, semantics and pragmatics, of which syntax expresses the structure of symbols, semantics expresses the implication of symbols, and pragmatics expresses the context knowledge and language environment of symbols

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Summary

INTRODUCTION

The significance of global land cover (GLC) information has been recognized by many fields, such as global environmental change studies, biodiversity monitoring, earth system modelling and many other societal benefits areas (Herold et al, 2008; Verburg et al, 2011; Hansen and Loveland, 2012;Chen et al, 2013a;Gong et al, 2013).To facilitate the application of GLC information, many groups and organizations have published their data and provide some online processing tools in form of web service (Chen et al, 2011;Townshend et al, 2012). The semantic web mainly focuses on description of parameters and interfaces of web service using the knowledge in different research domains, butrarely take account of the intention of web service consumers and the variable processing context of a work-flow. This may confuse the consumers when they have to choose the most appropriate web service from multiple ones which have the same meanings in parameters and interface. We presented an integration method for the dynamic composition of land cover web services based on the matching of request parameters and the ingredients of Behavior-Intention model. The methods proposed by this paper may improve the current web service description model by adding pragmatics information, and be helpful for the dynamic composition of web services

Three tiers of web service language
Conceptual model of pragmatic web service
PRAGMATIC PRESETTING AND MODELING
Essential content of pragmatic pre-setting
Service behavior
User intention
Pragmatic pre-setting principle
Contract expression of pragmatic presupposition
Pragmatic web service model based on behaviourintention
ADAPTIVE COMPOSITION BASED ON PRAGMATIC WEB SERVICE
Automatically assembly of pragmatic web services
Pragmatic web service composition
CONCLUSION AND FUTURE WORKS

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