Conference Proceedings
Efficient and accurate retrieval of business process models through indexing (short paper)
T Jin, J Wang, N Wu, M La Rosa, AHM Ter Hofstede
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics | SPRINGER-VERLAG BERLIN | Published : 2010
Abstract
Recent years have seen an increased uptake of business process management technology in various industries. This has resulted in organizations trying to manage large collections of business process models. One of the challenges facing these organizations concerns the retrieval of models from large business process model repositories. As process model repositories may be large, query evaluation may be time consuming. Hence, we investigate the use of indexes to speed up this evaluation process. Experiments are conducted to demonstrate that our proposal achieves a significant reduction in query evaluation time. © Springer-Verlag 2010.
Grants
Awarded by China Scholarship Council
Funding Acknowledgements
We thank Lijie Wen for his helpful suggestions. We also thank Haiping Zha, Tengfei He and Tao Li for their contribution to the development of BeehiveZ. The work is supported by the National Basic Research Program (973 Plan) of China (No. 2009CB320700 and No. 2007CB310802), the National High-Tech Development Program (863 Plan) of China (No. 2008AA042301 and No. 2007AA040607) and CSC (China Scholarship Council).