Efficient and Accurate Retrieval of Business Process Models through Indexing View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2010

AUTHORS

Tao Jin , Jianmin Wang , Nianhua Wu , Marcello La Rosa , Arthur H. M. ter Hofstede

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. More... »

PAGES

402-409

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-16934-2_28

DOI

http://dx.doi.org/10.1007/978-3-642-16934-2_28

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1033489498


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