QoS ontology for service selection and reuse

Web service technologies become popular in software development in all sectors. Variety services related standards are defined but they still have limitations to represent the services such as the service registry does not support the Quality of Service (QoS) properties, web service description lang...

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Veröffentlicht in:	Journal of intelligent manufacturing Jg. 27; H. 1; S. 187 - 199
Hauptverfasser:	Chhun, Sophea, Moalla, Néjib, Ouzrout, Yacine
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.02.2016 Springer Nature B.V Springer Verlag (Germany)
Schlagworte:	Algorithms Application programming interface Business and Management Business process re-engineering Computer Aided Engineering Computer Science Control Dynamic programming Engineering Internet service providers Keywords Knowledge representation Language Machines Manufacturing Mechatronics Natural language Ontology Processes Production Quality of service Representations Robotics Semantic web Semantics Software Software development Stores Studies Transportation services Web services Service selection Tracking data Ontology QoS Service composition Service discovery Business process re-engineering Semantic web service Service Selection
ISSN:	0956-5515, 1572-8145
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Abstract	Web service technologies become popular in software development in all sectors. Variety services related standards are defined but they still have limitations to represent the services such as the service registry does not support the Quality of Service (QoS) properties, web service description language does not allow specifying the QoS properties and there is no common ontology’s structure to store services. Our research aims to enhance the representation of services to assist the service selection and composition process in order to reduce the development costs. The existing resources are analyzed to define a web service ontology (WSOnto). Furthermore, a service selection algorithm is proposed to validate the proposed WSOnto. It considers the multiple criteria of inputs such as: context, functional and non-functional properties of services. The WSOnto and a service selection algorithm are studied to assist the re-engineering of business processes from users’ designed business processes.
AbstractList	Web service technologies become popular in software development in all sectors. Variety services related standards are defined but they still have limitations to represent the services such as the service registry does not support the Quality of Service (QoS) properties, web service description language does not allow specifying the QoS properties and there is no common ontology's structure to store services. Our research aims to enhance the representation of services to assist the service selection and composition process in order to reduce the development costs. The existing resources are analyzed to define a web service ontology (WSOnto). Furthermore, a service selection algorithm is proposed to validate the proposed WSOnto. It considers the multiple criteria of inputs such as: context, functional and non-functional properties of services. The WSOnto and a service selection algorithm are studied to assist the re-engineering of business processes from users' designed business processes. Web service technologies become popular in software development in all sectors. Even service related standards are defined, they still have limitations to represent the services. Some examples of the limitations are : service registry does not support the QoS properties, web service description language (WSDL) does not allow specifying the QoS properties and there is no common description for defining the web service structure. Our research aims to enhance the service description structure to support the service selection and composition processin order to reduce development costs. The existing resources are analyzed in order to define a Web Service Ontology (WSOnto). Furthermore, a service selection algorithm is proposed for validating the proposed WSOnto. This service selection algorithm considers multiple criteria as inputs : application context, input, output, weight of the QoS performance and service’s security properties. Furthermore, a QoS calculation method is proposed to obtain a better QoS values. Issue Title: Special Issue: Novel Strategies for Global Manufacturing Systems Interoperability Web service technologies become popular in software development in all sectors. Variety services related standards are defined but they still have limitations to represent the services such as the service registry does not support the Quality of Service (QoS) properties, web service description language does not allow specifying the QoS properties and there is no common ontology's structure to store services. Our research aims to enhance the representation of services to assist the service selection and composition process in order to reduce the development costs. The existing resources are analyzed to define a web service ontology (WSOnto). Furthermore, a service selection algorithm is proposed to validate the proposed WSOnto. It considers the multiple criteria of inputs such as: context, functional and non-functional properties of services. The WSOnto and a service selection algorithm are studied to assist the re-engineering of business processes from users' designed business processes.
Author	Chhun, Sophea Moalla, Néjib Ouzrout, Yacine
Author_xml	– sequence: 1 givenname: Sophea surname: Chhun fullname: Chhun, Sophea organization: DISP laboratory, Université Lumière Lyon 2 – sequence: 2 givenname: Néjib surname: Moalla fullname: Moalla, Néjib email: nejib.moalla@univ-lyon2.fr organization: DISP laboratory, Université Lumière Lyon 2 – sequence: 3 givenname: Yacine surname: Ouzrout fullname: Ouzrout, Yacine organization: DISP laboratory, Université Lumière Lyon 2
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Cites_doi	10.1016/j.eswa.2012.04.061 10.1007/978-3-642-25160-3_1 10.1016/j.is.2011.07.003 10.1016/0304-3975(81)90113-4 10.1007/978-3-540-30473-9_7 10.1007/978-3-642-01247-1_20 10.3233/APO-2005-000008 10.1007/978-3-642-00899-3_3 10.4018/978-1-59904-045-5 10.1007/3-540-48005-6_9 10.1007/11596141_11 10.1007/3-540-27301-8_8 10.1145/1232722.1232728
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Keywords	Service selection Tracking data Ontology QoS Service composition Service discovery Business process re-engineering Semantic web service Service Selection
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References	Cabrera, O., Oriol, M., Franch, X., López, L., Marco, J., Fragoso, O., et al. (2011). WeSSQoS: A configurable SOA system for quality-aware web service selection, (preprint ) arXiv:1110.5574. Khan, S. (1998). Quality adaptation in a multisession multimedia system: Model, algorithms and architecture. Department of ECE, University of Victoria. Natschläger, C. (2011) Towards a BPMN 2.0 Ontology. Presented at the Business Process Model and Notation, pp. 1–15. MartinD.BursteinM.HobbsJ.LassilaO.McDermottD.McIlraithS.OWL-S: Semantic markup for web servicesW3C Member Submission200422200704 Schuller, D., Lampe, U., Eckert, J., Steinmetz, R., & Schulte, S. (2012). Cost-driven optimization of complex service-based workflows for stochastic qos parameters, In 2012 IEEE 19th international conference on web services (ICWS), 2012 (pp. 66–73). Pradnya Khutade, A., & Rashmi Phalnikar, B. (2012). Qos based web service discovery using oo concepts. International Journal of Advanced Technology & Engineering Research (IJATER), 2(6), 81–86. RomanD.KellerU.LausenH.BruijnJ.LaraR.StollbergaM.Web service modeling ontologyApplied Ontology20051177106 Tian, Y., & Huang, M. (2012). Enhance discovery and retrieval of geospatial data using SOA and Semantic Web technologies. Presented at the expert systems with applications. Cardoso, J. (Ed.). (2007). Semantic web services: Theory, tools, and applications. IGI Global. Yu, T., & Lin, K.-J. (Ed.). (2005). Service selection algorithms for composing complex services with multiple QoS constraints. In Service-Oriented Computing-ICSOC 2005 (pp. 130–143). Springer. OMG. (2011). Business process model and notation (BPMN), Version 2, 538 pp. Bernstein, A., & Klein, M. (Ed.). (2002). Towards high-precision service retrieval. In The Semantic Web-ISWC 2002 (pp. 84–101). Springer. GenrichH. J.LautenbachK.System modelling with high-level Petri netsTheoretical Computer Science1981131109135 YuTZhangYEfficient algorithms for Web services selection with end-to-end QoS constraintsACM Transactions on the Web (TWEB)20071610.1145/1232722.1232728 Sabou, M. (2006). Building web service ontologies. SIKS Dissertation Series. Alrifai, M., Risse, T., Dolog, P. & Nejdl, W. (2009). A scalable approach for qos-based web service selection. In Service-Oriented Computing-ICSOC 2008 Workshops, 2009 (pp. 190–199). OMG Specification (2007). OMG unified modeling language (OMG UML), Superstructure, V2.1.2. Object Management Group NeelavathiS.VivekanandanK.An Innovative Quality of Service (QOS) based service selection for service orchrestration in SOAInternational Journal of Scientific and Engineering Research20112418 WangHHGibbinsNPayneTRRedavidDA formal model of the Semantic Web Service Ontology (WSMO)Information Systems2012371336010.1016/j.is.2011.07.003 Broens, T., Pokraev, S., Van Sinderen, M., Koolwaaij, J. & Dockhorn Costa, P. (Ed.). (2004). Context-aware, ontology-based service discovery. In Ambient Intelligence (pp. 72–83). Springer. ChaariSBadrYBiennierFBenAmarCFavrelJFramework for web service selection based on non-functional propertiesInternational Journal of Web Services Practices20083294 109 Jaeger, M., Rojec-Goldmann, G., Liebetruth, C., Mühl, G. & Geihs, K. (2005). Ranked matching for service descriptions using owl-s. In Kommunikation in Verteilten Systemen (KiVS), 2005 (pp. 91–102). BellwoodTClémentLEhnebuskeDHatelyAHondoMHusbandYLUDDI version 3.0Published Specification, Oasis200251618 D’Mello, D. A., & Ananthanarayana, V. S. (2009, March). Semantic web service selection based on service provider’s business offerings. IJSSST, 10(2), 25–37. Lohmann, N., Verbeek, H. M. W., & Dijkman, R. M. (Ed.). (2009). Petri net transformations for business processes-a survey. In Transactions on Petri Nets and Other Models of Concurrency II (pp. 46–63). Springer. 855_CR22 855_CR21 855_CR20 S Chaari (855_CR7) 2008; 3 T Bellwood (855_CR2) 2002; 5 855_CR24 855_CR3 855_CR4 855_CR5 T Yu (855_CR25) 2007; 1 855_CR1 855_CR12 855_CR11 855_CR10 855_CR6 855_CR8 855_CR9 855_CR19 855_CR18 855_CR17 855_CR16 HH Wang (855_CR23) 2012; 37 855_CR15 855_CR14 855_CR13
References_xml	– reference: Alrifai, M., Risse, T., Dolog, P. & Nejdl, W. (2009). A scalable approach for qos-based web service selection. In Service-Oriented Computing-ICSOC 2008 Workshops, 2009 (pp. 190–199). – reference: OMG Specification (2007). OMG unified modeling language (OMG UML), Superstructure, V2.1.2. Object Management Group – reference: Yu, T., & Lin, K.-J. (Ed.). (2005). Service selection algorithms for composing complex services with multiple QoS constraints. In Service-Oriented Computing-ICSOC 2005 (pp. 130–143). Springer. – reference: YuTZhangYEfficient algorithms for Web services selection with end-to-end QoS constraintsACM Transactions on the Web (TWEB)20071610.1145/1232722.1232728 – reference: ChaariSBadrYBiennierFBenAmarCFavrelJFramework for web service selection based on non-functional propertiesInternational Journal of Web Services Practices20083294 109 – reference: Tian, Y., & Huang, M. (2012). Enhance discovery and retrieval of geospatial data using SOA and Semantic Web technologies. Presented at the expert systems with applications. – reference: Bernstein, A., & Klein, M. (Ed.). (2002). Towards high-precision service retrieval. In The Semantic Web-ISWC 2002 (pp. 84–101). Springer. – reference: Pradnya Khutade, A., & Rashmi Phalnikar, B. (2012). Qos based web service discovery using oo concepts. International Journal of Advanced Technology & Engineering Research (IJATER), 2(6), 81–86. – reference: Natschläger, C. (2011) Towards a BPMN 2.0 Ontology. Presented at the Business Process Model and Notation, pp. 1–15. – reference: GenrichH. J.LautenbachK.System modelling with high-level Petri netsTheoretical Computer Science1981131109135 – reference: WangHHGibbinsNPayneTRRedavidDA formal model of the Semantic Web Service Ontology (WSMO)Information Systems2012371336010.1016/j.is.2011.07.003 – reference: MartinD.BursteinM.HobbsJ.LassilaO.McDermottD.McIlraithS.OWL-S: Semantic markup for web servicesW3C Member Submission200422200704 – reference: Cardoso, J. (Ed.). (2007). Semantic web services: Theory, tools, and applications. IGI Global. – reference: Cabrera, O., Oriol, M., Franch, X., López, L., Marco, J., Fragoso, O., et al. (2011). WeSSQoS: A configurable SOA system for quality-aware web service selection, (preprint ) arXiv:1110.5574. – reference: Sabou, M. (2006). Building web service ontologies. SIKS Dissertation Series. – reference: Schuller, D., Lampe, U., Eckert, J., Steinmetz, R., & Schulte, S. (2012). Cost-driven optimization of complex service-based workflows for stochastic qos parameters, In 2012 IEEE 19th international conference on web services (ICWS), 2012 (pp. 66–73). – reference: OMG. (2011). Business process model and notation (BPMN), Version 2, 538 pp. – reference: NeelavathiS.VivekanandanK.An Innovative Quality of Service (QOS) based service selection for service orchrestration in SOAInternational Journal of Scientific and Engineering Research20112418 – reference: Lohmann, N., Verbeek, H. M. W., & Dijkman, R. M. (Ed.). (2009). Petri net transformations for business processes-a survey. In Transactions on Petri Nets and Other Models of Concurrency II (pp. 46–63). Springer. – reference: D’Mello, D. A., & Ananthanarayana, V. S. (2009, March). Semantic web service selection based on service provider’s business offerings. IJSSST, 10(2), 25–37. – reference: Khan, S. (1998). Quality adaptation in a multisession multimedia system: Model, algorithms and architecture. Department of ECE, University of Victoria. – reference: RomanD.KellerU.LausenH.BruijnJ.LaraR.StollbergaM.Web service modeling ontologyApplied Ontology20051177106 – reference: Broens, T., Pokraev, S., Van Sinderen, M., Koolwaaij, J. & Dockhorn Costa, P. (Ed.). (2004). Context-aware, ontology-based service discovery. In Ambient Intelligence (pp. 72–83). Springer. – reference: Jaeger, M., Rojec-Goldmann, G., Liebetruth, C., Mühl, G. & Geihs, K. (2005). Ranked matching for service descriptions using owl-s. 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Snippet	Web service technologies become popular in software development in all sectors. Variety services related standards are defined but they still have limitations... Issue Title: Special Issue: Novel Strategies for Global Manufacturing Systems Interoperability Web service technologies become popular in software development... Web service technologies become popular in software development in all sectors. Even service related standards are defined, they still have limitations to...
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SubjectTerms	Algorithms Application programming interface Business and Management Business process re-engineering Computer Aided Engineering Computer Science Control Dynamic programming Engineering Internet service providers Keywords Knowledge representation Language Machines Manufacturing Mechatronics Natural language Ontology Processes Production Quality of service Representations Robotics Semantic web Semantics Software Software development Stores Studies Transportation services Web services
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Title	QoS ontology for service selection and reuse
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