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A semantics-based approach to querying process model repositories

Song, Liang , Jianmin, Wang , ter Hofstede, Arthur H.M., La Rosa, Marcello, Ouyang, Chun, & Wen, Lijie (2011) A semantics-based approach to querying process model repositories.

Abstract

As business process management technology matures, organisations acquire more and more business process models. The resulting collections can consist of hundreds, even thousands of models and their management poses real challenges. One of these challenges concerns model retrieval where support should be provided for the formulation and efficient execution of business process model queries.

As queries based on only structural information cannot deal with all querying requirements in practice, there should be support for queries that require knowledge of process model semantics. In this paper we formally define a process model query language that is based on semantic relationships between tasks. This query language is independent of the particular process modelling notation used, but we will demonstrate how it can be used in the context of Petri nets by showing how the semantic relationships can be determined for these nets in such a way that state space explosion is avoided as much as possible. An experiment with three large process model repositories shows that queries expressed in our language can be evaluated efficiently.

Impact and interest:

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53 since deposited on 20 Dec 2011
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ID Code: 47791
Item Type: Report
Keywords: process model, repository, query, collection, Petri net, unfolding
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTATION THEORY AND MATHEMATICS (080200) > Computational Logic and Formal Languages (080203)
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 2011 The Authors
Deposited On: 21 Dec 2011 08:50
Last Modified: 24 Dec 2011 12:50

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