Matching business process models using positional passage-based language models

Matthias Weidlich; Eitam Sheetrit; Moisés C. Branco; Avigdor Gal

doi:10.1007/978-3-642-41924-9_12

Matching business process models using positional passage-based language models

Matthias Weidlich, Eitam Sheetrit, Moisés C. Branco, Avigdor Gal

Technion - Israel Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Business operations are often documented by business process models. Use cases such as system validation and process harmonization require the identification of correspondences between activities, which is supported by matching techniques that cope with textual heterogeneity and differences in model granularity. In this paper, we present a matching technique that is tailored towards models featuring textual descriptions of activities. We exploit these descriptions using ideas from language modelling. Experiments with real-world process models reveal that our technique increases recall by up to factor five, largely without compromising precision, compared to existing approaches.

Original language	English
Title of host publication	Conceptual Modeling - 32th International Conference, ER 2013, Proceedings
Pages	130-137
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-41924-9_12
State	Published - 1 Dec 2013
Event	32nd International Conference on Conceptual Modeling, ER 2013 - Hong Kong, China Duration: 11 Nov 2013 → 13 Nov 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8217 LNCS

Conference

Conference	32nd International Conference on Conceptual Modeling, ER 2013
Country/Territory	China
City	Hong Kong
Period	11/11/13 → 13/11/13

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-41924-9_12

Cite this

Weidlich, M., Sheetrit, E., Branco, M. C., & Gal, A. (2013). Matching business process models using positional passage-based language models. In Conceptual Modeling - 32th International Conference, ER 2013, Proceedings (pp. 130-137). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8217 LNCS). https://doi.org/10.1007/978-3-642-41924-9_12

Weidlich, Matthias ; Sheetrit, Eitam ; Branco, Moisés C. et al. / Matching business process models using positional passage-based language models. Conceptual Modeling - 32th International Conference, ER 2013, Proceedings. 2013. pp. 130-137 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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author = "Matthias Weidlich and Eitam Sheetrit and Branco, {Mois{\'e}s C.} and Avigdor Gal",

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Weidlich, M, Sheetrit, E, Branco, MC & Gal, A 2013, Matching business process models using positional passage-based language models. in Conceptual Modeling - 32th International Conference, ER 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8217 LNCS, pp. 130-137, 32nd International Conference on Conceptual Modeling, ER 2013, Hong Kong, China, 11/11/13. https://doi.org/10.1007/978-3-642-41924-9_12

Matching business process models using positional passage-based language models. / Weidlich, Matthias; Sheetrit, Eitam; Branco, Moisés C. et al.
Conceptual Modeling - 32th International Conference, ER 2013, Proceedings. 2013. p. 130-137 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8217 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Weidlich M, Sheetrit E, Branco MC, Gal A. Matching business process models using positional passage-based language models. In Conceptual Modeling - 32th International Conference, ER 2013, Proceedings. 2013. p. 130-137. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-41924-9_12

Matching business process models using positional passage-based language models

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