Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, EpiSciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation
Conference papers

A Textual Description Based Approach to Process Matching

Abstract : The increasing number of process models in an organization has led to the development of process model repositories, which allow to efficiently and effectively manage these large number of models. Searching process models is an inherent feature of such process repositories. However, the effectiveness of searching depends upon the accuracy of the underlying matching technique that is used to compute the degree of similarity between query-source process model pairs. Most of the existing matching techniques rely on the use of labels, structure or execution behavior of process models. The effectiveness of these techniques is, however, quiet low and far from being usable in practice. In this paper, we address this problem and propose the use of a combination of textual descriptions of process models and text matching techniques for process matching. The proposed approach is evaluated using the established metrics, precision, recall and F1 score. The results show that the use of textual descriptions is slightly more effective than activity labels.
Complete list of metadata

Cited literature [26 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Friday, December 1, 2017 - 3:15:58 PM
Last modification on : Monday, October 19, 2020 - 11:10:01 AM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Maria Rana, Khurram Shahzad, Rao Nawab, Henrik Leopold, Umair Babar. A Textual Description Based Approach to Process Matching. 9th IFIP Working Conference on The Practice of Enterprise Modeling (PoEM), Nov 2016, Skövde, Sweden. pp.194-208, ⟨10.1007/978-3-319-48393-1_14⟩. ⟨hal-01653532⟩



Record views


Files downloads