Comprehensive Framework for Semantic Web Service Publishing,Discovery and Automated Composition

摘要

Web Services have added a new level of functionality on top of the current Web, enabling the use and combination of distributed functional components within and across company boundaries. The addition of semantic information to describe Web Services, in order to enable the automatic location, combination and use of distributed components, is nowadays one of the most relevant research topics due to its potential to achieve dynamic, scalable and cost-effective Enterprise Application Integration and eCommerce. Semantic Web Services aim at providing a new level of functionality on top of the current Web and current web services, by enabling automatic discovery, composition, invocation and interoperation of Web Services.Different efforts are addressing some of the requirements to enable such next generation services, with different degree of success. Nevertheless, to achieve the main goals addressed by Semantic Web Services, an appropriate semantic description,supporting automation of discovery, composition, invocation and interoperation must be defined. A prerequisite to this, however, is the emergence and evolution of the Semantic Web, which provides the infrastructure for the semantic interoperability of Web Services. Web Services will be augmented with rich formal descriptions of their capabilities, such that they can be utilized by applications or other services without human assistance or highly constrained agreements on interfaces or protocols. Thus,Semantic Web Services have the potential to change the way knowledge and business services are consumed and provided on the Web. This study presents a set of requirements on the information of a Semantic Web Service. We have investigated how to locate semantics in order to produce semantic web services descriptions and what kind of tools could support the semantic enrichment of web services description. We analysis two major initiatives aim to realize Semantic Web Services by providing appropriate description means that enable the effective exploitation of semantic annotations with respect to discovery,composition, execution and interoperability of Web Services, namely: WSMO and OWL-S. We propose a CAN-based P2P system to replace traditional UDDI, by distributing the functions of the UDDI among all the peers in the P2P network. At the same time, we design an ontology-based mechanism, guaranteeing every service would be registered on a specific peer in the CAN-based P2P network, according to the service's ontology. By replacing the UDDI, our system improves the scalability and stability of the Semantic web services system and realizes an efficient ontologybased publishing and discovery of Semantic Web Services. We propose a comprehensive framework for the composition of dynamic Web services would allow the manufacturers to dynamically compose the services based on the requirements and the process constraints. We provide a representational framework for accommodating Data semantics, Functional semantics, Quality of Service and Execution Semantics to support activities in the complete Web process lifecycle. Further we add the constraint analyzer module, which uses an Integer Linear Programming Solver for process optimization based on process and business constraints. Web services composition is a crucial aspect of web services technology,which gives us the opportunity for selecting new services and best suits our needs at the moment. Doing this automatically would require us to compute our criteria for composing candidate services. Our research represent all criteria guiding the selection of the services as constraints then choose an optimal set of services to satisfy the customers requirements. This approach reduces the dynamic composition of web services to a constraint satisfaction problem.

目录

英文文摘

论文说明：List of Figures and Tables

DECLARATION

ACKNOWLEDGEMENTS

CHAPTER 1 INTRODUCTION

1.1.INTRODUCTION

1.2.WEB SERVICES

1.2.1.XML

1.2.2.XMLS

1.2.3.SOAP

1.2.4.WSDL

1.2.5.UDDI

1.3.THE SEMANTIC WEB

1.3.1.RDF and RDFS

1.3.2.OWL Web Ontology Language

1.3.3.Ontologies

1.3.4.Knowledge Representation and Inference

1.3.5.Semantic Web Services

1.4.OBJECTIVE AND RESEARCH QUESTIONS

1.5.ORGANIZATION OF DISSERTATION

CHAPTER 2 INFRASTRUCTURE OF SEMANTIC WEB SERVICES

2.1.INFRASTRUCTURE OF SEMANTIC WEB SERVICES

2.1.1.Usage Activities Perspective

2.1.2.Architecture Perspective

2.1.3.The service ontology

2.2.MAIN APPROACHES OF SEMANTIC WEB SERVICE

2.2.1.IRS Approach

2.2.2.OWL-S approach

2.2.3.WSMF approach

2.3.COMPARISON OF SEMANTIC WEB SERVICES APPROACHES

2.4.PROPOSED INFRASTRUCTURE FOR SEMANTIC WEB SERVICE

2.5.SUMMARY

CHAPTER 3 SEMANTIC BASED DESCRIPTION IN WEB SERVICES

3.1.SEMANTIC BASED DESCRIPTION IN WEB SERVICES

3.1.1.REQUIRED SEMANTICS

3.2.TYPES OF SEMANTICS

3.2.1.Real World Semantics

3.2.2.Model-Theoretic Semantics

3.2.3.Implicit Semantics

3.2.4.Informal (Explicit) Semantics

3.2.5.Formal Semantics for Human Processing

3.2.6.Formal Semantics for Machine Processing

3.2.7.Machine Processible Semantics

3.3.APPROACHES FOR SEMANTIC DESCRIPTION

3.3.1.OWL-S approach for semantic description,

3.3.2.WSMO approach for semantic description

3.4.ANALYSIS

3.5.SUMMARY

CHAPTER 4 A CAN BASED P2P INFRASTRUCTURE FOR SEMANTIC WEB SERVICES PUBLISHING AND DISCOVERY

4.1.A CAN BASED P2P INFRASTRUCTURE FOR SEMANTIC WEB SERVICES

4.2.DESIGN AND IMPLEMENTATION CAN BASED P2P INFRASTRUCTURE FOR SEMANTIC WEB SERVICES

4.2.1.Web Service Translator

4.2.2.Web Service Distributor

4.2.3.CAN-Based P2P Infrastructure

4.2.4.Semantic web services Publishing

4.2.5.Semantic web services discovery

4.3.RELATED WORK

4.4.SUMMERY

CHAPTER 5 CONSTRAINT BASED SEMANTIC WEB SERVICE COMPOSITION

5.1.SEMANTIC WEB SERVICE COMPOSITION

5.1.1.Concept of Web Services Composition

5.2.WEB SERVICE COMPOSITION STANDARDS

5.3. CONSTRAINTS SATISFACTION PROBLEM

5.4. SEMANTICS METADATA

5.4.1.Data Semantics

5.4.2.Functional Semantics

5.4.3.Quality of Service (QoS) Specifications

5.4.4.Execution Semantics

5.5. MOTIVATING SCENARIO

5.6.AN ARCHITECTURE OF SEMANTIC WEB SERVICE COMPOSITION

5.6.1.OWL-S/UDDI registries

5.6.2.The discovery engine

5.6.3.The constraint optimizer

5.6.4.Constraint representation

5.6.5.Cost estimation

5.7.CONSTRAINT OPTIMIZATION

5.8.RELATED WORK

5.9.SUMMARY

CHAPTER 6 THE DESCRIPTION LOGIC FOR THE SEMANTIC WEB AND KNOWLEDGE REASONING

6.1.THE DESCRIPTION LOGIC FOR THE SEMANTIC WEB AND KNOWLEDGE REASONING

6.2.THE EXPRESSIVE DESCRIPTION LOGIC

6.2.1.Syntax and semantics of ALCNHR + (D)

6.2.2. Epistemic operation k

6.3.DECOMPOSE ALCNHR+K(D) KNOWLEDGE BASE INTO PARTITIONS

6.4.SYSTEM ARCHITECTURE FOR KNOWLEDGE REASONING

6.5.SUMMARY

CHAPTER 7 CASE STUDY

7.1.A SERVICE COMPOSITION SCENARIO

7.2.THE WEB SERVICE COMPOSITION TOOLS

7.2.1.Capabilities of Web services composition toolset

7.3.SUMMARY

CHAPTER 8 CONCLUSIONS AND FUTURE WORK

8.1. CONCLUSIONS

8.2.FUTURE WORK

APPENDIX A-GLOSSARY OF ACRONYMS

APPENDIX B-LIST OF PUBLISHED PAPERS

APPENDIX C-ACCEPTED PAPER

REFERENCES