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An ontology-based collaborative business service selection: contributing to automatic building of collaborative business process

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Abstract

With worldwide inter-enterprise collaboration and interoperability background, automatic collaborative business process deduction is a crucial researching subject. We have designed a methodology of deducing collaborative process by only collecting collaborative objectives and partners’ business services. The two key problems are (i) selecting corresponding business services for a set of collaborative objectives and (ii) ordering business services with serializations and parallelization. This paper aims to present a solution of business service selection and the following business process extraction. In order to solve the problem, we have defined a collaborative ontology, which contains numerous instances of business services and processes from the MIT process handbook. The collaborative ontology contains essential concepts in collaborative situations and process-deducing rules and algorithms. We provide a brief illustration of implementation within a SaaS toolkit called Mediator Modeling 2ool.

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Notes

  1. GeasyTools is an open source, GWT-based API. PetalsLink develops it. The tool helps create graphic elements. It is available at http://research.petalslink.org/display/geasytools/GEasyTools+Overview.

References

  1. Rajsiri V, Lorr J-P, Bnaben F, Pingaud H (2010) Knowledge-based system for collaborative process specification. Comput Ind 61:161–175

    Article  Google Scholar 

  2. Malone TW, Crowston K, Herman GA (2003) Organizing business knowledge: the MIT process handbook. The MIT Press, Cambridge

    Google Scholar 

  3. ISO 9000 (2005) “ISO 9000 Quality management"

  4. ISO 9000 X50-130 (2005) “NF EN ISO 9000 X50-130 Systmes de management de la qualit—Principes essentiels et vocabulaire”

  5. Jong J, Dietz JLG (2010) Understanding the realization of organizations. Adv Enterp Eng IV 49:31–49

    Google Scholar 

  6. Rupietta W (1994) Organization models for cooperative office applications. In: Karagiannis D (ed) Database and Expert Systems Applications. DEXA 1994. Lecture Notes in Computer Science, vol 856. Springer, Berlin, Heidelberg, pp 114–124

  7. Jiang J, Dignum V, Tan YH, Overbeek S (2011) A context-aware inter-organizational collaboration model applied to international trade. In: Electronic Government, pp 308–319

  8. Alam KA, Ahmad R, Akhunzada A, Nasir MHNM, Khan SU (2015) Impact analysis and change propagation in service-oriented enterprises: a systematic review. Inf Syst 54:43–73 WOS:000362046700004

    Article  Google Scholar 

  9. Han SN, Lee GM, Crespi N (2014) Semantic context-aware service composition for building automation system. IEEE Trans Ind Inf 10:752–761 WOS:000336668600074

    Article  Google Scholar 

  10. Bianchini D, Cappiello C, De Antonellis V, Pernici B (2014) Service identification in interorganizational process design. IEEE Trans Serv Comput 7:265–278

    Article  Google Scholar 

  11. Nisa R, Qamar U (2015) A text mining based approach for web service classification. Inf Syst e Bus Manag 13:751–768

    Article  Google Scholar 

  12. Tan X, Di L, Deng M, Chen A, Huang F, Peng C, Gao M, Yao Y, Sha Z (2015) Cloud- and agent-based geospatial service chain: a case study of submerged crops analysis during flooding of the Yangtze River Basin. IEEE J Sel Top Appl Earth Obs Remote Sens 8:1359–1370 WOS:000352279200038

    Google Scholar 

  13. Cancian MH, Rabelo R, von Wangenheim CG (2015) Collaborative business processes for enhancing partnerships among software services providers. Enterp Inf Syst 9:634–659

    Google Scholar 

  14. Qamar U, Niza R, Bashir S, Khan FH (2016) A majority vote based classifier ensemble for web service classification. Bus Inf Syst Eng 58:249–259 WOS:000379867800003

    Article  Google Scholar 

  15. Song C, Cho E (2016) An integrated design method for SOA-based business modeling and software modeling. Int J Softw Eng Knowl Eng 26:347–377 WOS:000375089200008

    Article  Google Scholar 

  16. Gromoff A, Kazantsev N, Bilinkis (2016) An approach to knowledge management in construction service—oriented architecture. In: Howlett RJ, Jain LC, Gabrys B, Toro C, Lim CP (eds) Knowledge-based and intelligent information and engineering systems: Proceedings of the 20th international conference Kes-2016, vol 96. Elsevier Science, Amsterdam, pp 1179–1185 WOS:000383252400127

  17. Yang X, Yu T, Xu H (2016) A novel framework of using petri net to timed service business process modeling. Int J Softw Eng Knowl Eng 26:633–652 WOS:000381113500006

    Article  Google Scholar 

  18. Rong W, Peng B, Ouyang Y, Liu K, Xiong Z (2015) Collaborative personal profiling for web service ranking and recommendation. Inf Syst Front 17:1265–1282 WOS:000365415000007

    Article  Google Scholar 

  19. Mishra S, Kumar C (2016) A novel adaptive structure for SOA system effort estimation. Trans Emerg Telecommun Technol 27:1115–1127 WOS:000380961100008

    Article  Google Scholar 

  20. Hachicha M, Fahad M, Moalla N, Ouzrout Y (2016) Performance assessment architecture for collaborative business processes in BPM-SOA-based environment. Data Knowl Eng 105:73–89 WOS:000385604600006

    Article  Google Scholar 

  21. Navarro A, da Silva A (2016) A metamodel-based definition of a conversion mechanism between SOAP and RESTful web services. Comput Stand Interfaces 48:49–70 WOS:000382599300005

    Article  Google Scholar 

  22. Mustacoglu AF, Fox GC (2016) A novel digital information service for federating distributed digital entities. Inf Syst 55:20–36 WOS:000363354100002

    Article  Google Scholar 

  23. MacLennan E, Van Belle J-P (2014) Factors affecting the organizational adoption of service-oriented architecture (SOA). Inf Syst e Bus Manag 12:71–100 WOS:000330773900004

    Article  Google Scholar 

  24. Zernadji T, Tibermacine C, Cherif F, Zouioueche A (2016) Integrating quality requirements in engineering web service orchestrations. J Syst Softw 122:463–483 WOS:000387627200029

    Article  Google Scholar 

  25. Ramacher R, Moench L (2015) Service selection with runtime aspects: a hierarchical approach. IEEE Trans Serv Comput 8:481–493 WOS:000356267200013

    Article  Google Scholar 

  26. Neiger D, Churilov L, Flitman A (2009) Business objectives modelling. In: Value-focused business process engineering: a systems approach, vol 19. Springer, Boston, pp 1–26

    Chapter  Google Scholar 

  27. Menzel C, Mayer RJ (2006) The IDEF Family of Languages. In: Handbook on architectures of information systems, pp 215–249

  28. IDEF0 (1993) “Announcing the standard for integration definition for function modeling (IDEF0)"

  29. Smullyan RM (1995) First-order logic. Dover Publications, New York

    MATH  Google Scholar 

  30. Mu W, Bnaben F, Pingaud H (2016) Collaborative process cartography deduction based on collaborative ontology and model transformation. Inf Sci 334335:83–102

    Article  Google Scholar 

  31. Benaben, F, Touzi J, Rajsiri V, Lorr JP (2008) Mediation information system design in a collaborative SOA context through a MDD approach. In: Proceedings of MDISIS’08, pp 1–17

  32. Sun W, Zhang K, Chen SK, Zhang X, Liang H (2010) Software as a service: an integration perspective. In: Service-Oriented Computing ICSOC 2007, pp 558–569

  33. Wu B, Deng S, Li Y, Wu J, Yin J (2011) Reference models for Saas oriented business workflow management systems, pp 242–249, IEEE

  34. Endo AT, Simao A (2011) Model-based testing of service-oriented applications via state models, pp 432–439, IEEE

  35. Gupta V (2008) GWT basics and a first application. In: Accelerated GWT, Apress, pp 3–25

  36. Benaben F, Boissel-Dallier N, Lorre J-P, Pingaud H (2010) Semantic reconciliation in interoperability management through model-driven approach. In: CamarinhaMatos L, Boucher X, Afsarmanesh H (eds) Collaborative networks for a sustainable world, vol 336. Springer, Berlin, pp 705–712

    Chapter  Google Scholar 

  37. Zribi S, Bnaben F, Hamida AB, Lorr JP (2012) Towards a service and choreography governance framework for future internet. In: Enterprise interoperability V, pp 281–291

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Funding

Acteur de l’innovation par la recherche partenariale (ARMINES). National Natural Science Foundation of China (No:61703032). Supported by the Fundamental Funds for Humanities and Social Sciences of Beijing Jiaotong University (No: 2015jbwy013).

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Correspondence to Wenxin Mu.

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Mu, W., Benaben, F. & Pingaud, H. An ontology-based collaborative business service selection: contributing to automatic building of collaborative business process. SOCA 12, 59–72 (2018). https://doi.org/10.1007/s11761-018-0229-1

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  • DOI: https://doi.org/10.1007/s11761-018-0229-1

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