Efficient and accurate retrieval of business process models through indexing
Data(s) |
01/03/2010
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Resumo |
Recent years have seen an increased uptake of business process management technology in 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. For example, in some cases new process models may be derived from existing models, thus finding these models and adapting them may be more effective than developing them from scratch. 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. |
Formato |
application/pdf |
Identificador | |
Publicador |
Springer Berlin Heidelberg |
Relação |
http://eprints.qut.edu.au/31996/1/c31996.pdf DOI:10.1007/978-3-642-16934-2_28 Tao, Jin, Wang, Jianmin, Nianhua, Wu, La Rosa, Marcello, & ter Hofstede, Arthur H.M. (2010) Efficient and accurate retrieval of business process models through indexing. Lecture Notes in Computer Science [On the Move to Meaningful Internet Systems: OTM 2010], 6426, pp. 402-409. |
Direitos |
Copyright 2010 Springer-Verlag Berlin Heidelberg The final publication is available at link.springer.com |
Fonte |
Faculty of Science and Technology |
Palavras-Chave | #080201 Analysis of Algorithms and Complexity #080309 Software Engineering #080609 Information Systems Management #business process model #index #exact query #repository |
Tipo |
Journal Article |