Semantic Web Service matchmakers: state of the art and challenges
SUMMARYWeb services provide a standard means for the interoperable operations between electronic devices in a network. The mission of Web service discovery is to seek an appropriate Web service for a service requester on the basis of the service descriptions in Web service advertisements and the ser...
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| Published in: | Concurrency and computation Vol. 25; no. 7; pp. 961 - 988 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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Blackwell Publishing Ltd
01.05.2013
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| ISSN: | 1532-0626, 1532-0634 |
| Online Access: | Get full text |
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| Abstract | SUMMARYWeb services provide a standard means for the interoperable operations between electronic devices in a network. The mission of Web service discovery is to seek an appropriate Web service for a service requester on the basis of the service descriptions in Web service advertisements and the service requester's requirements. Nevertheless, the standard language used for encoding service descriptions does not have the capacity to specify the capabilities of a Web service, leading to the problem of ambiguity in the service discovery process. This brings up the vision of Semantic Web Services and Semantic Web Service discovery, which make use of the Semantic Web technologies to enrich the semantics of service descriptions for service discovery. Semantic Web Service matchmakers are the programs or frameworks designed to implement the task of Semantic Web Service discovery and have drawn a significant amount of attention from both academia and industry from the start of this century. In this paper, we conduct a survey of the contemporary Semantic Web Service matchmakers in order to obtain an overview of the state of the art in this research area. We summarize six technical dimensions from the past literature and analyze the typical Semantic Web Service matchmakers mostly developed during the past 4 or 5 years in terms of the six dimensions. By means of this analysis, we gain an understanding of the current research and summarize a series of potential issues to that would provide the foundation for future research in this area.Copyright © 2012 John Wiley & Sons, Ltd. |
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| AbstractList | SUMMARYWeb services provide a standard means for the interoperable operations between electronic devices in a network. The mission of Web service discovery is to seek an appropriate Web service for a service requester on the basis of the service descriptions in Web service advertisements and the service requester's requirements. Nevertheless, the standard language used for encoding service descriptions does not have the capacity to specify the capabilities of a Web service, leading to the problem of ambiguity in the service discovery process. This brings up the vision of Semantic Web Services and Semantic Web Service discovery, which make use of the Semantic Web technologies to enrich the semantics of service descriptions for service discovery. Semantic Web Service matchmakers are the programs or frameworks designed to implement the task of Semantic Web Service discovery and have drawn a significant amount of attention from both academia and industry from the start of this century. In this paper, we conduct a survey of the contemporary Semantic Web Service matchmakers in order to obtain an overview of the state of the art in this research area. We summarize six technical dimensions from the past literature and analyze the typical Semantic Web Service matchmakers mostly developed during the past 4 or 5 years in terms of the six dimensions. By means of this analysis, we gain an understanding of the current research and summarize a series of potential issues to that would provide the foundation for future research in this area.Copyright © 2012 John Wiley & Sons, Ltd. Web services provide a standard means for the interoperable operations between electronic devices in a network. The mission of Web service discovery is to seek an appropriate Web service for a service requester on the basis of the service descriptions in Web service advertisements and the service requester's requirements. Nevertheless, the standard language used for encoding service descriptions does not have the capacity to specify the capabilities of a Web service, leading to the problem of ambiguity in the service discovery process. This brings up the vision of Semantic Web Services and Semantic Web Service discovery, which make use of the Semantic Web technologies to enrich the semantics of service descriptions for service discovery. Semantic Web Service matchmakers are the programs or frameworks designed to implement the task of Semantic Web Service discovery and have drawn a significant amount of attention from both academia and industry from the start of this century. In this paper, we conduct a survey of the contemporary Semantic Web Service matchmakers in order to obtain an overview of the state of the art in this research area. We summarize six technical dimensions from the past literature and analyze the typical Semantic Web Service matchmakers mostly developed during the past 4 or 5 years in terms of the six dimensions. By means of this analysis, we gain an understanding of the current research and summarize a series of potential issues to that would provide the foundation for future research in this area.Copyright © 2012 John Wiley & Sons, Ltd. |
| Author | Dong, Hai Hussain, Farookh Khadeer Chang, Elizabeth |
| Author_xml | – sequence: 1 givenname: Hai surname: Dong fullname: Dong, Hai email: Correspondence to: Hai Dong, School of Information Systems, Curtin Business School, Curtin University of Technology, Perth, WA 6845, Australia., hai.dong@cbs.curtin.edu.au organization: School of Information Systems, Curtin Business School, Curtin University of Technology, WA 6845, Perth, Australia – sequence: 2 givenname: Farookh Khadeer surname: Hussain fullname: Hussain, Farookh Khadeer organization: School of Software, Faculty of Engineering and Information Technology, University of Technology, NSW 2007, Sydney, Ultimo, Australia – sequence: 3 givenname: Elizabeth surname: Chang fullname: Chang, Elizabeth organization: School of Information Systems, Curtin Business School, Curtin University of Technology, WA 6845, Perth, Australia |
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| Cites_doi | 10.1109/MIC.2004.1297276 10.1109/SYNASC.2010.71 10.1007/978-3-642-13489-0_3 10.1016/j.eswa.2008.06.083 10.1007/3-540-27301-8_8 10.1109/P2P.2001.990434 10.1016/j.websem.2003.07.002 10.1109/TKDE.2003.1209005 10.1007/978-3-540-30475-3_52 10.1613/jair.514 10.1504/IJMSO.2006.011007 10.1145/1721654.1721672 10.1016/S1567-4223(02)00015-7 10.1109/WI-IATW.2007.26 10.2139/ssrn.3199420 10.1145/1294148.1294150 10.1145/1097047.1097057 10.1109/TKDE.2009.89 10.1145/988672.988747 10.1023/A:1014897210525 10.1109/TKDE.2008.139 10.1007/978-3-540-72667-8_8 10.1016/j.websem.2010.05.002 10.1145/1141277.1141675 10.5772/5884 10.1007/3-540-63494-0_57 10.1007/978-3-7643-8575-0_4 10.1109/MIC.2007.134 10.1080/088395199117504 10.5220/0002809200700077 10.1016/j.websem.2008.10.001 10.1016/j.ijar.2008.01.005 10.1017/S1471068407003249 10.1109/TIE.2010.2050754 10.1007/978-3-7643-8864-5_4 10.1504/IJWGS.2005.008393 10.1007/978-3-540-88564-1_37 10.1016/j.websem.2003.11.001 10.1002/9780470612200.ch12 10.1007/3-540-45681-3_29 10.4018/978-1-59904-045-5.ch012 10.1109/WI-IATW.2007.87 10.1007/s11280-007-0040-y 10.1109/ECOWS.2008.12 10.1142/S0218843005001213 10.1007/978-3-642-02121-3_41 10.1109/MIS.2003.1179199 10.3233/APO-2005-000008 10.1109/TKDE.2009.35 10.1016/j.jcss.2010.02.009 10.1016/j.websem.2011.08.001 10.1016/j.websem.2008.01.001 |
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Toch E, Gal A, Reinhartz-Berger I, Dori D. A semantic approach to approximate service retrieval. ACM Transactions on Internet Technology 2007; 8(1):1-30. Wei D, Wang T, Wang J, Bernstein A. SAWSDL-iMatcher: a customizable and effective Semantic Web service matchmaker. Journal of Web Semantics: Science, Services and Agents on the World Wide Web 2011; 9(4):402-417. DOI: 10.1016/j.websem.2011.08.001. Bianchini D, Antonellis VD, Melchiori M. Flexible semantic-based service matchmaking and discovery. World Wide Web 2008; 11(2):227-251. Fensel D, Bussler C. The Web Service Modeling Framework WSMF. Electronic Commerce Research and Applications 2002; 1(2):113-137. Garofalakis J, Panagis Y, Sakkopoulos E, Tsakalidis A. Contemporary Web service discovery mechanisms. Journal of Web Engineering 2006; 5(3):265-290. McIlraith S, Martin D. Bringing semantics to Web services. IEEE Intelligent Systems 2003; 18(1):90-93. Dong H, Hussain FK, Chang E. 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| References_xml | – reference: Dong H, Hussain FK, Chang E. A framework for discovering and classifying ubiquitous services in digital health ecosystems. Journal of Computer and System Sciences 2011; 77(4):687-704. – reference: Christophides V, Karvounarakis G, Plexousakis D, Scholl M, Tourtounis S. Optimizing taxonomic Semantic Web queries using labeling schemes. Journal of Web Semantics: Science, Services and Agents on the World Wide Web 2004; 1(2):207-228. – reference: Samuel K, Obrst L, Stoutenberg S, Fox K, Franklin P, Johnson A, Laskey K, Nichols D, Lopez S, Peterson J. Translating OWL and Semantic Web rules into prolog: moving toward description logic programs. Theory and Practice of Logic Programming 2008; 8(3):301-322. – reference: McIlraith S, Martin D. Bringing semantics to Web services. IEEE Intelligent Systems 2003; 18(1):90-93. – reference: Roman D, Keller U, Lausen H, Bruijn Jd, Lara R, Stollberg M, Polleres A, Feier C, Bussler C, Fensel D. Web Service Modeling Ontology. Applied Ontology 2005; 1(1):77-106. – reference: Fenza G, Loia V, Senatore S. A hybrid approach to Semantic Web services matchmaking. International Journal of Approximate Reasoning 2008; 48(3):808-828. – reference: Sycara K, Widoff S, Klusch M, Lu J. LARKS: dynamic matchmaking among heterogeneous software agents in cyberspace. Autonomous Agents and Multi-Agent Systems 2002; 5(2):173-203. – reference: Martin D, Cheyer A, Moran D. The open agent architecture: a framework for building distributed software systems. Applied Artificial Intelligence 1999; 13(1-2):92-128. – reference: Sriharee N, Senivongse T. Matchmaking and ranking of Semantic Web services using integrated service profile. International Journal of Metadata, Semantics and Ontologies 2006; 1(2):110-118. – reference: Resnik P. Semantic similarity in a taxonomy: an information-based measure and its application to problems of ambiguity in natural language. Journal of Artificial Intelligence Research 1999; 11:95-130. – reference: Burkhardt M, Lutzenberger M, Masuch N. Towards toolipse 2: tool support for the next generation agent framework. Computing and Information Systems Journal 2009; 13(3):21-28. – reference: Zhang Y, Qu Y, Huang H, Yang D, Zhang H. An ontology and peer-to-peer based data and service unified discovery system. Expert Systems with Applications 2009; 36(3, Part 1):5436-5444. – reference: Li Y, Bandar ZA, McLean D. An approach for measuring semantic similarity between words using multiple information sources. IEEE Transactions on Knowledge and Data Engineering 2003; 15(4):871-882. – reference: Sbodio ML, Martin D, Moulin C. Discovering Semantic Web services using SPARQL and intelligent agents. Journal ofWeb Semantics: Science, Services and Agents on the World Wide Web 2010; 8(4):310-328. – reference: Bianchini D, Antonellis VD, Melchiori M. Flexible semantic-based service matchmaking and discovery. World Wide Web 2008; 11(2):227-251. – reference: Fensel D, Bussler C. The Web Service Modeling Framework WSMF. Electronic Commerce Research and Applications 2002; 1(2):113-137. – reference: Sycara K, Paolucci M, Soudry J, Naveen S. Dynamic discovery and coordination of agent-based Semantic Web services. IEEE Internet Computing 2004; 8(3):66-73. – reference: Domingue J, Cabral L, Galizia S, Tanasescu V, Gugliotta A, Norton B, Pedrinaci C. IRS-III: a broker-based approach to Semantic Web services. Journal of Web Semantics: Science, Services and Agents on the World Wide Web 2008; 6(2):109-132. – reference: Wei D, Wang T, Wang J, Bernstein A. SAWSDL-iMatcher: a customizable and effective Semantic Web service matchmaker. Journal of Web Semantics: Science, Services and Agents on the World Wide Web 2011; 9(4):402-417. DOI: 10.1016/j.websem.2011.08.001. – reference: Dong H, Hussain FK. Focused crawling for automatic service discovery, annotation, and classification in industrial digital ecosystems. IEEE Transactions on Industrial Electronics 2011; 58(6):2106-2116. – reference: Sycara K, Paolucci M, Ankolekar A, Srinivasan N. Automated discovery, interaction and composition of Semantic Web services. Journal of Web Semantics: Science, Services and Agents on the World Wide Web 2003; 1(1):27-46. – reference: Kopecky J, Vitvar T, Bournez C, Farrell J. SAWSDL: semantic annotations for WSDL and XML schema. IEEE Internet Computing 2007; 11(6):60-67. – reference: Kantere V, Skiadopoulos S, Sellis T. Storing and indexing spatial data in P2P systems. IEEE Transactions on Knowledge and Data Engineering 2009; 21(2):287-300. – reference: Garofalakis J, Panagis Y, Sakkopoulos E, Tsakalidis A. Contemporary Web service discovery mechanisms. Journal of Web Engineering 2006; 5(3):265-290. – reference: Klusch M, Fries B, Sycara K. 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| Snippet | SUMMARYWeb services provide a standard means for the interoperable operations between electronic devices in a network. The mission of Web service discovery is... Web services provide a standard means for the interoperable operations between electronic devices in a network. The mission of Web service discovery is to seek... |
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| SubjectTerms | Semantic Web Service discovery Semantic Web Service matchmakers Semantic Web Service selection Semantic Web Services Web services |
| Title | Semantic Web Service matchmakers: state of the art and challenges |
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