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A Study on Composition Goal in Automated Web Services Composition Approaches

by V. Portchelvi, V. Prasanna Venkatesan, G. Shanmugasundaram
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 55 - Number 11
Year of Publication: 2012
Authors: V. Portchelvi, V. Prasanna Venkatesan, G. Shanmugasundaram
10.5120/8797-3016

V. Portchelvi, V. Prasanna Venkatesan, G. Shanmugasundaram . A Study on Composition Goal in Automated Web Services Composition Approaches. International Journal of Computer Applications. 55, 11 ( October 2012), 4-8. DOI=10.5120/8797-3016

@article{ 10.5120/8797-3016,
author = { V. Portchelvi, V. Prasanna Venkatesan, G. Shanmugasundaram },
title = { A Study on Composition Goal in Automated Web Services Composition Approaches },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 55 },
number = { 11 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 4-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume55/number11/8797-3016/ },
doi = { 10.5120/8797-3016 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:56:57.661595+05:30
%A V. Portchelvi
%A V. Prasanna Venkatesan
%A G. Shanmugasundaram
%T A Study on Composition Goal in Automated Web Services Composition Approaches
%J International Journal of Computer Applications
%@ 0975-8887
%V 55
%N 11
%P 4-8
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Automated Web Services Composition (AWSC) has received more attention in the research community. In the literature, automated composition of web services problem has been identified to find approaches that realize a particular request by detecting, composing and executing web services automatically. Goal-driven Architecture provides a promising solution to this problem. It allows a composition system to formulate a request in terms of a goal and solves it by automatically discovering, composing and executing appropriate web services. The main element of this architecture is the concept of goal because a goal carries all the necessary information for automated discovery, composition and execution of web services. Our aim is to study the Automated Web services composition approaches based on this architecture and to analyze them based on the concept of goal.

References
  1. Michael Stollberg, Martin Hepp , July 10, 2006, WP3: Service Ontologies and Service Description D3. 10 Goal Description Ontology.
  2. P. Traverso & M. Pistore ,2004, Automated Composition of Semantic Web Services into Executable Processes. In: Proc. of ISWC-04, LNCS 3298. Springer, pp. 380–394.
  3. Wu, D. , Sirin, E. , Hendler, J. , Nau, D. , and Parsia, B. 2003. Automatic Web Services Composition Using SHOP2. Twelfth World Wide Web Conference.
  4. Dmytro Zhovtobryukh, 2007, A Petri Net-based Approach for Automated Goal-Driven Web Service Composition, SIMULATION, 83; 33
  5. Liliana Pasquale, 2007, From Goals to Reliable Service Compositions, This research has been partially funded by the European Commission, Programmes: IDEAS-ERC, Project 227977 SMScom, and FP7/2007-2013, Projects 215483 S-Cube (Network of Excellence) and 216556 SLA@SOI.
  6. Luiz Olavo Bonino da Silva Santos, Giancarlo Guizzardi, Renata Silva Souza Guizzardi,Eduardo Gonc¸alves da Silva, Lu´?s Ferreira Pires and Marten van Sinderen, GSO: Designing a Well-Founded Service Ontology to Support Dynamic Service Discovery and Composition.
  7. Sudhir Agarwal, 2007, A Goal Specification Language for Automated Discovery and Composition of Web Services, in Proc. of International Conference on Web Intelligence, 2007 IEEE/WIC/ACM.
  8. Biplav Srivastava and Jana Koehler, 2003, Web service composition - current solutions and open problems, in Proc. Of International conference on Automated Planning and Scheduling, 2003.
  9. Biplav Srivastava and Jana Koehler, 2004, Planning with workflows - An emerging paradigm for web services composition, in Proc. Of International conference on Automated Planning and Scheduling, 2003.
  10. Zaiwen Feng, Keqing He, Yutao Ma, Rong Peng, Ping Gong, 2008, A Requirements-Driven and Aspect-Oriented Approach for Evolution of Web Services Composition.
  11. Maja Vukovi´c, IBM T. J. Watson Research, Evangelos Kotsovinos, Peter Robinson, Application development powered by rapid, on-demand service composition.
  12. Peter Bartalos,2010, Effective automatic dynamic semantic web service composition, ACM
  13. Peer, J. , 2005 Web service composition as AI planning a survey. Technical report, Univ. of St. Gallen, Switzerland.
  14. Juan Carlos Zu˜niga, Jos´e J. P´erez-Alc´azar, Luciano Digiampietri, 2010, Implementation Issues for Automatic Composition of Web Services, 2010 Workshops on Database and Expert Systems Applications.
  15. M. P. Papazoglou et al. , 2007, Service-Oriented Computing: State of the Art and Research Challenges, Computer, vol. 40, no. 11, pp. 38–45.
Index Terms

Computer Science
Information Sciences

Keywords

Web Services composition AI Planning Goal Goal—Driven Architecture Automated Composition Approaches

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