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Service configuration in SOA-based enterprise representation using role knowledge

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EN
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EN
This work investigates the use of enterprise models for service configuration with a focus on knowledge related to organizational roles. Starting from an industrial case, it presents an approach to extract a role’s information demand from an enterprise model and to use this as initial configuration for agent-based services. In addition to the meta-model included in the enterprise modeling language, the use of a common ontology is proposed which captures both, the perspective of information demand and services. The architecture of the agentbased services is following the idea to characterize all actors by their roles and to represent them by sets of services. This approach facilitates self-organization in the service level. The main contributions of the paper are (1) to show that a role’s information demand is relevant for service configuration, (2) to present a way of extracting information demand from enterprise models, and (3) to extend an approach for SOA-based enterprise representation with information demand.
Twórcy
autor
  • School of Engineering, Jönköping University
  • Institute of Computer Science, Rostock University
  • School of Engineering, Jönköping University
autor
  • St. Petersburg Institute of Informatics and Automation of the Russian Academy of Sciences, nick@iias.spb.su
autor
  • St. Petersburg Institute of Informatics and Automation of the Russian Academy of Sciences
autor
  • St. Petersburg Institute of Informatics and Automation of the Russian Academy of Sciences
Bibliografia
  • [1] Harmon P., The scope and evolution of business process management, in Handbook on Business Process Management 1: Introduction, Methods, and Information Systems, J. vom Brocke and M. Rosemann, Eds., Berlin and. Heidelberg, Germany: Springer, pp. 83-106, 2010.
  • [2] Vernadat F.B., Enterprise modelling and integration, Chapman & Hall, 1996.
  • [3] Lundqvist M., Sandkuhl K., Seigerroth U., Modelling information demand in an enterprise context: method, notation, and lessons learned, in Int. J. of Information System Modeling and Design (IJSMD), 2, 3, 75-95, 2011.
  • [4] Lundqvist M., Information demand and use: improving information flow within small-scale business contexts, Licentiate Thesis, Dept of Computer and Information Science, Linköping University, Linköping, Sweden, 2007.
  • [5] Öhgren A., Sandkuhl K., Information overload in industrial enterprises - results of an empirical investigation, in Proceedings of ECIME 2008, London, UK.
  • [6] Persson A. Stirna J. [Eds.], The practice of enterprise modeling. Springer, LNBIP 39, 2009.
  • [7] Sandkuhl K., Improving engineering change management with information demand patterns, in Proceedings of the International Conference on Product Lifecycle Management, Eindhoven, The netherlands, July 2011, Inderscience Enterprises.
  • [8] Freitag D., Information extraction from HTML: application of a general machine learning approach, in Proceedings of the 15th National Conference on AI, pp. 517-523, 1998.
  • [9] Jackson P., Al-Kofahi K., Tyrrell A., Vachher A., Information extraction from case law and retrieval of prior cases, in Artificial Intelligence, 150, 1-2, 239-290, 2003.
  • [10] Appelt D., Israel D., Introduction to information extraction technology, Tutorial for IJCAI-99, Stockholm, 1999.
  • [11] Degbelo A., Matongo T., Sandkuhl K., Enterprise models as interface for information searching, in P. Forbrig and H. Günther [Eds.], BIR 2010, LNBIP 64, Springer-Verlag Berlin Heidelberg, pp. 27–42, 2010.
  • [12] Smirnov A., Levashova T., Shilov N., Kashevnik A., A hybrid technology for operational decision support in pervasive environments, in L. Iliadis, I. Vlahavas, and M. Bramer [Eds.], Artificial Intelligence Applications and Innovations III, IFIP Internation International Federation for Information Processing, Boston: Springer, 296, 3-12, 2009.
  • [13] What is a Web service?, in Web Services Architecture, W3C, 2004, http://www.w3.org/TR/wsarch/.
  • [14] Feng Y., Liu X., Kerridge J., An aspect-oriented component-based approach to seamless Web service composition, in Intl. Transactions on System Science and Applications, Foreesight Academy of Technology, 5, 2., 116-125, 2009.
  • [15] Rao J., Su X., A survey of automated Web service composition methods, in Proc. of First Intl. Workshop on Semantic Web Services and Web Process Composition, SWSWPC 2004, San Diego, USA, pp. 43-54, 2004.
  • [16] Casati, F., Ilnicki S., Jin L., Adaptive and dynamic service composition in EFlow, in Proc. of 12th Intl. Conf. on Advanced Information Systems Engineering (CAiSE), Stockholm, Sweden, London: Springer Verlag, LNCS, vol. 1789, 2000, pp. 13-31.
  • [17] Schuster H., Georgakopoulos D., Cichocki A., Baker D., Modeling and composing service-based and reference process-based multi-enterprise processes, in Proc. of 12th Intl. Conf. on Advanced Information Systems Engineering (CAiSE), Stockholm, Sweden, London: Springer Verlag, LNCS, 1789, 247-263, 2000.
  • [18] Bubak M., Gubała T., Kapałka M., Malawski M., Rycerz K., Workflow composer and service registry for grid applications, in Future Generation Computer Systems, Elsevier, 21, 1, 79–86, 2005.
  • [19] Karakoc E., Kardas K., Senkul P., A workflowbased Web service composition system, in
  • IEEE/WIC/ACM Intl. Confs. on Web Intelligence and Intelligent Agent Technology - Workshops, Hong Kong, China, pp. 113–116, 2006.
  • [20] Weise T., Bleul S., Comes D., Geis K., Different approaches to semantic Web service composition, in Proc. of Third Intl. Conf. on Internet and Web Applications and Services, ICIW2008, Athens, Greece, pp. 90-96, 2008.
  • [21] Peer J., Web service composition as AI planning - a survey, Tech. Rep. Univ. of St. Gallen, Switzerland, http://elektra.mcm.unisg.ch/pbwsc/docs/pfwsc.pdf, 2005.
  • [22] Dorn J., Rainer A., Hrastnik P., Toward semantic composition of web services with MOVE, in Proc. of IEEE Joint Conf. on E-Commerce Technology (CEC’06) and Enterprise Computing, ECommerce and E-Services (EEE’06), USA, San Francisco, IEEE CS Press, pp. 437-438, 2006.
  • [23] Oh S.-C., Lee D., Kumara S.R.T., A comparative illustration of AI planning-based web services composition, in ACM SIGecom Exchanges, New York: ACM, 5, 5, 1-10, 2006.
  • [24] Digiampietri L.A., Pérez-Alcázar J.J., Medeiros C.B., AI Planning in Web services composition: a review of current approaches and a new solution, in Proc. of XXVII Conf. Brazilian Comp. Sci. (CSBC2007), Rio de Janeiro, Brazil, pp. 983-992, 2007.
  • [25] Liu Z., Ranganathan A., Riabov, A., A planning approach for message-oriented semantic web service composition, in Proc. of 22nd National Conf. Artificial Intelligence, Vancouver, Canada, AAAI Press, 2, 1389-1394, 2007.
  • [26] Lecue F., Leger A., Delteil A., DL reasoning and AI planning for Web service composition, in Proc. of Intl. Conf. Web Intelligence and Intelligent Agent Technology - WI-IAT ’08, Sydney, NSW, IEEE/WIC/ACM, 1, 445-453, 2008.
  • [27] Hu S., Muthusamy V., Li G., Jacobsen H.-A., Distributed automatic service composition in large-scale systems, in Proc. of Second Intl. Conf. on Distributed Event-Based Systems, Rome, Italy, 332, 233-244, 2008.
  • [28] Matskin M., Küngas P., Rao J., Sampson J., Petersen S.A., Enabling Web services composition with software agents, in Proc. of Ninth IASTED Intl. Conf. on Internet and Multimedia Systems, and Applications (IMSA 2005), Honolulu, Hawaii, USA, ACTA Press, pp. 93-98, 2005.
  • [29] Buhler P.A., Greenwood D., Weichhart G., A multiagent Web service composition engine, revisited, in Proc. of IEEE Joint Conf. (CEC/EEE 2007) on E-Commerce Technology (9th CEC’07) and Enterprise Computing, E-Commerce and E-Services (4th EEE’07), Tokyo, Japan, IEEE Computer Society, pp. 529-532, 2007.
  • [30] Falou M.E., Bouzid M., Mouaddib A.-I., Vidal T., Automated Web service composition: a decentralised multi-agent approach, in Proc. of IEEE/WIC/ACM Intl. Conf. on Web Intelligence and Intelligent Agent Technology, IEEE Computer Society, 1, 387-394, 2009.
  • [31] Lind M., Seigerroth U., A Multi-Layered Approach to Business and IT Alignment, Hawaii International Conference on System Sciences (HICSS43), Hawaii, January 5-8, 2010.
  • [32] Pepiot G. et al., UECML: Unified Enterprise Competence Modelling Language. Computers in Industry, 58, 130-142, 2007.
  • [33] Kopecky J., Vitvar T., Bournez C., Farrell J., Sawsdl: Semantic annotations for wsdl and xml schema. Internet Computing, Vol. 11, Issue: 6, Nov.-Dec. 2007, ISSN 1089-7801, IEEE Computer Society, 2007.
  • [34] Vitvar T., Kopecky J., Viskova J., Fensel D., WSMO-lite annotations for web services, In: The 5th Annual European Semantic Web Conference (ESWC 2008), 1-5 Jun 2008, Tenerife, Spain, 2008.
  • [35] Rajasekaran P., Miller J., Verma K., Sheth A., Enhancing Web Services Description and Discovery to Facilitate Composition, Proceedings SWSWPC at IEEE International Conference on Web Services (ICWS 2004), San Diego, California, USA, July 2004.
  • [36] Alexander Smirnov, Alexey Kashevnik, Nikolay Teslya, Nikolay Shilov, Andreas Oroszi, Mario Sinko, Michael Humpf, Jens Arneving, Knowledge Management for Complex Product Development: Framework and Implementation, Proc. of the 10th International Product Lifecycle Management Conference - PLM13, July 06-10, Nantes, France, 2013.
  • [37] Oroszi A., Jung T., Smirnov A., Shilov N., Kashevnik A., Ontology-Driven Codification for Discrete and Modular Products, In: International Journal of Product Development, Inderscience, 8, 2, 162-177, 2009.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-dded15ec-cc59-4f3d-98c5-f509fc252d79
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