Efficient and accurate retrieval of business process models through indexing
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. (Submitted (not yet accepted for publication))
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Abstract
Recent years have seen an increased uptake of business pro-cess management technology in industries. This has resulted in organi-zations 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 mod-els, thus nding these models and adapting them may be more eective than developing them from scratch. As process model repositories may be large, query evaluation may be time consuming. Hence, we investi-gate the use of indexes to speed up this evaluation process. Experiments are conducted to demonstrate that our proposal achieves a signi cant reduction in query evaluation time.
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| ID Code: | 31996 |
|---|---|
| Item Type: | Report |
| Subjects: | Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTATION THEORY AND MATHEMATICS (080200) > Analysis of Algorithms and Complexity (080201) Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300) > Software Engineering (080309) Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Information Systems Management (080609) |
| Divisions: | Past > QUT Faculties & Divisions > Faculty of Science and Technology |
| Copyright Owner: | Copyright 2010 The authors |
| Deposited On: | 27 Apr 2010 13:22 |
| Last Modified: | 02 Feb 2012 21:16 |
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