Reusing process fragments for fast service composition: a clustering-based approach

References

• Accorsi, R. (2011). “Business Process as a Service: Chances for Remote Auditing.” In Computer Software and Applications Conference Workshops (COMPSACW), 2011 IEEE 35th Annual 398–403. Munich: IEEE.
   Google Scholar
• Azmeh, Z., F. Hamoui, M. Huchard, N. Messai, C. Tibermacine, C. Urtado, and S. Vauttier (2011). “Backing Composite Web Services Using Formal Concept Analysis”. In International conference on formal concept analysis 26–41. Nicosia.
   Google Scholar
• Chollet, S., V. Lestideau, P. Lalanda, D. Moreno-Garcia, and P. Colomb (2010). “Heterogeneous Service Selection Based on Formal Concept Analysis.” In Services, ieee congress on 367–374. Miami: IEEE.
   Google Scholar
• Clempner, J. 2014a. “An Analytical Method for Well-Formed workflow/Petri Net Verification of Classical Soundness. .” International Journal of Applied Mathematics and Computer Science 24 (4): 931–939. doi:10.2478/amcs-2014-0068.
   Web of Science ®Google Scholar
• Clempner, J. 2014b. “Verifying Soundness of Business Processes: A Decision Process Petri Nets Approach.” Expert Systems with Applications 41 (11): 5030–5040. doi:10.1016/j.eswa.2014.03.005.
   Web of Science ®Google Scholar
• Gabrel, V., M. Manouvrier, and C. Murat. 2015. “Web Services Composition: Complexity and Models.” Discrete Applied Mathematics 196 (C): 100–114. doi:10.1016/j.dam.2014.10.020.
   Google Scholar
• Huang, K., Z. Zhou, Y. Han, G. Li, and J. Wang (2004). “An Algorithm for Calculating Process Similarity to Cluster Open-Source Process Designs.” In International conference on grid and cooperative computing 107–114. Wuhan.
   Google Scholar
• Kumar, C. A., and P. K. Singh. 2014. “Knowledge Representation Using Formal Concept Analysis: A Study on Concept Generation.” In: Global Trends in Intelligent Computing Research and Development Chapter 11, 306–336. IGI Publishing.
   Google Scholar
• Li, W., C. Yang, D. Nebert, R. Raskin, P. Houser, H. Wu, and Z. Li. 2011. Semantic-based Web Service Discovery and Chaining for Building an Arctic Spatial Data Infrastructure. Computers & Geosciences 37 (11): 1752–1762.
   Web of Science ®Google Scholar
• Li, Y., B. Cao, L. Xu, J. Yin, S. Deng, Y. Yin, and Z. Wu. 2014. “An Efficient Recommendation Method for Improving Business Process Modeling.” IEEE Transactions on Industrial Informatics 10 (1): 502–513. doi:10.1109/TII.2013.2258677.
   Web of Science ®Google Scholar
• M.-A., Z., N. B. Hadj-Anouane, and M. Yeddes (2012). “A Semantics-Based Privacy-Aware Approach for Fragmenting Business Processes. In Computer software and applications conference workshops (compsacw), 2012 IEEE 36th annual.” 254–259. Izmir.
   Google Scholar
• Nacer, A. A., E. Goettelmann, S. Youcef, A. Tari, and C. Godart (2015). “Business Process Design by Reusing Business Process Fragments from the Cloud.” In 2015 IEEE 8th international conference on service-oriented computing and applications (SOCA) 193–200. Rome: IEEE Computer Society.
   Google Scholar
• Peng, D., S. Huang, X. Wang, and A. Zhou (2005). “Management and Retrieval of Web Services Based on Formal Concept Analysis.” In The fifth international conference on computer and information technology (CIT’05) 269–275. Shanghai: IEEE.
   Google Scholar
• Poelmans, J., D. I. Ignatov, S. O. Kuznetsov, and G. Dedene. 2013. “Formal Concept Analysis in Knowledge Processing: A Survey on Applications.” Expert Systems with Applications 40 (16): 6538–6560. doi:10.1016/j.eswa.2013.05.009.
   Web of Science ®Google Scholar
• Qi, H., Y. Du, L. Qi, and L. Wang. 2018. “An Approach to Repair Petri Net-Based Process Models with Choice Structures.” Enterprise Information Systems 1–31. doi:10.1080/17517575.2018.1432768.
   Web of Science ®Google Scholar
• Rouane-Hacene, M., M. Huchard, A. Napoli, and P. Valtchev. 2013. “Relational Concept Analysis: Mining Concept Lattices from Multi-Relational Data.” Annals of Mathematics and Artificial Intelligence 67 (1): 81–108. doi:10.1007/s10472-012-9329-3.
   Web of Science ®Google Scholar
• Sarno, R., H. Ginardi, E. W. Pamungkas, and D. Sunaryono (2013). “Clustering of Erp Business Process Fragments.” In Computer, control, informatics and its applications (IC3INA), 2013 international conference on IEEE 319–324. Jakarta: IEEE.
   Google Scholar
• Sarno, R., Pamungkas, E. W., Sunaryono, D., E. W. Pamungkas(2015). “Workflow Common Fragments Extraction Based on Wsdl Similarity and Graph Dependency.” In Intelligent technology and its applications (ISITIA), 2015 international seminar309–314. Surabaya: IEEE Computer Society.
   Google Scholar
• Sheng, Q. Z., X. Qiao, A. V. Vasilakos, C. Szabo, S. Bourne, and X. Xu. 2014. “Web Services Composition: A Decade’s Overview.” Information Sciences 280: 218–238. doi:10.1016/j.ins.2014.04.054.
   Web of Science ®Google Scholar
• Van Der Aalst, W. M., and A. H. Ter Hofstede. 2005. “YAWL: Yet Another Workflow Language.” Information Systems 30 (4): 245–275. doi:10.1016/j.is.2004.02.002.
   Web of Science ®Google Scholar
• Van Dongen, B. F., J. Mendling, and W. M. P. Van Der Aalst (2006, October). “Structural Patterns for Soundness of Business Process Models.” In Enterprise Distributed Object Comput”ing Conference, 2006. EDOC’06. 10th IEEE International 116–128. Hong Kong: IEEE.
   Google Scholar
• Viriyasitavat, W., L. D. Xu, Z. Bi, and A. Sapsomboon. 2018. “Extension of Specification Language for Soundness and Completeness of Service Workflow.” Enterprise Information Systems 1–20. doi:10.1080/17517575.2018.1432769.
   Web of Science ®Google Scholar
• Wang, P., Z. Ding, C. Jiang, and M. Zhou. 2014. “Automated Web Service Composition Supporting Conditional Branch Structures.” Enterprise Information Systems 8 (1): 121–146. doi:10.1080/17517575.2011.584132.
   Web of Science ®Google Scholar
• Weiß, A., V. Andrikopoulos, M. Hahn, and D. Karastoyanova (2015). “Enabling the Extraction and Insertion of Reusable Choreography Fragments.” In Proceedings of the 22nd IEEE international conference on web service (ICWS 2015) 686–694. New York: IEEE Computer Society.
   Google Scholar
• Xu, B., L. D. Xu, X. Fei, L. Jiang, H. Cai, and S. Wang. 2017. “A Method of Demand-Driven and Data-Centric Web Service Configuration for Flexible Business Process Implementation.” Enterprise Information Systems 11 (7): 988–1004.
   Web of Science ®Google Scholar
• Yang, R., B. Li, J. Wang, L. He, and X. Cui (2014). “SCKY: A Method for Reusing Service Process Fragments.” In Web services (ICWS), 2014 IEEE international conference209–216. Anchorage: IEEE Computer Society.
   Google Scholar
• Zemni, M., A. A., Mammar, and N. B. Hadj-Alouane. 2016. “An Automated Approach for Merging Business Process Fragments.” Computers in Industry 82: 104–118. doi:10.1016/j.compind.2016.05.002.
   Web of Science ®Google Scholar
• Zemni, M. A., N. B. Hadj-Alouane, and A. Mammar (2014). “Business Process Fragments Behavioral Merge.” In OTM confederated international conferences” on the move to meaningful internet systems 112–129. Amantea.
   Google Scholar
• Zeng, C., T. Zhang, and P. C. Hung. 2015. “Fast Service Process Fragment Indexing and Ranking.” IEEE Transaction On Services Computing 9 (5): 672–685. doi:10.1109/TSC.2015.2421942.
   Web of Science ®Google Scholar