Embedding Process Structure in Activities for Process Mapping and Comparison

Andrea Chiorrini; Claudia Diamantini; Laura Genga; Martina Pioli; Domenico Potena

doi:10.1007/978-3-031-15743-1_12

Embedding Process Structure in Activities for Process Mapping and Comparison

Andrea Chiorrini, Claudia Diamantini, Laura Genga, Martina Pioli, Domenico Potena

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

5 Citations (Scopus)

Abstract

Today’s organizations often have to manage hundreds of process models. This requires organizations to be able to efficiently manage process models as a kind of organizational data. Most of previous approaches for process model representation exploit graph data structures to represent (part of) the process control-flow. While these representations work well to analyze the overall process behavior and its KPIs, they are complex data structures which pose some challenges for other kind of analyses requiring, e.g., model comparison. In this paper we explore an alternative approach to representing process structure. We introduce a set of features that describe the context of an activity inside a process, thus embedding the information about the process structure in the activity representation. This representation enables the use of standard vector techniques to capture certain structural similarities among activities and is then suited to support tasks like similarity-based comparison and mapping of processes without resorting to graph-based approaches.

Original language	English
Title of host publication	New Trends in Database and Information Systems - ADBIS 2022 Short Papers, Doctoral Consortium and Workshops
Subtitle of host publication	DOING, K-GALS, MADEISD, MegaData, SWODCH 2022, Proceedings
Editors	Silvia Chiusano, Tania Cerquitelli, Robert Wrembel, Kjetil Nørvåg, Barbara Catania, Genoveva Vargas-Solar, Ester Zumpano
Publisher	Springer
Pages	119-129
Number of pages	11
ISBN (Print)	9783031157424
DOIs	https://doi.org/10.1007/978-3-031-15743-1_12
Publication status	Published - 2022
Event	3rd Workshop on Intelligent Data - From Data to Knowledge, DOING 2022, 1st Workshop on Knowledge Graphs Analysis on a Large Scale, K-GALS 2022, 4th Workshop on Modern Approaches in Data Engineering and Information System Design, MADEISD 2022, 2nd Workshop on Advanced Data Systems Management, Engineering, and Analytics, MegaData 2022, 2nd Workshop on Semantic Web and Ontology Design for Cultural Heritage, SWODCH 2022 and Doctoral Consortium which accompanied 26th European Conference on Advances in Databases and Information Systems, ADBIS 2022 - Turin, Italy Duration: 5 Sept 2022 → 8 Sept 2022

Publication series

Name	Communications in Computer and Information Science
Volume	1652 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	3rd Workshop on Intelligent Data - From Data to Knowledge, DOING 2022, 1st Workshop on Knowledge Graphs Analysis on a Large Scale, K-GALS 2022, 4th Workshop on Modern Approaches in Data Engineering and Information System Design, MADEISD 2022, 2nd Workshop on Advanced Data Systems Management, Engineering, and Analytics, MegaData 2022, 2nd Workshop on Semantic Web and Ontology Design for Cultural Heritage, SWODCH 2022 and Doctoral Consortium which accompanied 26th European Conference on Advances in Databases and Information Systems, ADBIS 2022
Country/Territory	Italy
City	Turin
Period	5/09/22 → 8/09/22

Bibliographical note

Publisher Copyright:
© 2022, Springer Nature Switzerland AG.

Keywords

Activity similarity
Business Process Management
Process model clustering
Process similarity

Access to Document

10.1007/978-3-031-15743-1_12

Cite this

Chiorrini, A., Diamantini, C., Genga, L., Pioli, M., & Potena, D. (2022). Embedding Process Structure in Activities for Process Mapping and Comparison. In S. Chiusano, T. Cerquitelli, R. Wrembel, K. Nørvåg, B. Catania, G. Vargas-Solar, & E. Zumpano (Eds.), New Trends in Database and Information Systems - ADBIS 2022 Short Papers, Doctoral Consortium and Workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH 2022, Proceedings (pp. 119-129). (Communications in Computer and Information Science; Vol. 1652 CCIS). Springer. https://doi.org/10.1007/978-3-031-15743-1_12

Chiorrini, Andrea ; Diamantini, Claudia ; Genga, Laura et al. / Embedding Process Structure in Activities for Process Mapping and Comparison. New Trends in Database and Information Systems - ADBIS 2022 Short Papers, Doctoral Consortium and Workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH 2022, Proceedings. editor / Silvia Chiusano ; Tania Cerquitelli ; Robert Wrembel ; Kjetil Nørvåg ; Barbara Catania ; Genoveva Vargas-Solar ; Ester Zumpano. Springer, 2022. pp. 119-129 (Communications in Computer and Information Science).

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abstract = "Today{\textquoteright}s organizations often have to manage hundreds of process models. This requires organizations to be able to efficiently manage process models as a kind of organizational data. Most of previous approaches for process model representation exploit graph data structures to represent (part of) the process control-flow. While these representations work well to analyze the overall process behavior and its KPIs, they are complex data structures which pose some challenges for other kind of analyses requiring, e.g., model comparison. In this paper we explore an alternative approach to representing process structure. We introduce a set of features that describe the context of an activity inside a process, thus embedding the information about the process structure in the activity representation. This representation enables the use of standard vector techniques to capture certain structural similarities among activities and is then suited to support tasks like similarity-based comparison and mapping of processes without resorting to graph-based approaches.",

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Chiorrini, A, Diamantini, C, Genga, L, Pioli, M & Potena, D 2022, Embedding Process Structure in Activities for Process Mapping and Comparison. in S Chiusano, T Cerquitelli, R Wrembel, K Nørvåg, B Catania, G Vargas-Solar & E Zumpano (eds), New Trends in Database and Information Systems - ADBIS 2022 Short Papers, Doctoral Consortium and Workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH 2022, Proceedings. Communications in Computer and Information Science, vol. 1652 CCIS, Springer, pp. 119-129, 3rd Workshop on Intelligent Data - From Data to Knowledge, DOING 2022, 1st Workshop on Knowledge Graphs Analysis on a Large Scale, K-GALS 2022, 4th Workshop on Modern Approaches in Data Engineering and Information System Design, MADEISD 2022, 2nd Workshop on Advanced Data Systems Management, Engineering, and Analytics, MegaData 2022, 2nd Workshop on Semantic Web and Ontology Design for Cultural Heritage, SWODCH 2022 and Doctoral Consortium which accompanied 26th European Conference on Advances in Databases and Information Systems, ADBIS 2022, Turin, Italy, 5/09/22. https://doi.org/10.1007/978-3-031-15743-1_12

Embedding Process Structure in Activities for Process Mapping and Comparison. / Chiorrini, Andrea; Diamantini, Claudia; Genga, Laura et al.
New Trends in Database and Information Systems - ADBIS 2022 Short Papers, Doctoral Consortium and Workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH 2022, Proceedings. ed. / Silvia Chiusano; Tania Cerquitelli; Robert Wrembel; Kjetil Nørvåg; Barbara Catania; Genoveva Vargas-Solar; Ester Zumpano. Springer, 2022. p. 119-129 (Communications in Computer and Information Science; Vol. 1652 CCIS).

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

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T1 - Embedding Process Structure in Activities for Process Mapping and Comparison

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AU - Diamantini, Claudia

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AU - Pioli, Martina

AU - Potena, Domenico

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N2 - Today’s organizations often have to manage hundreds of process models. This requires organizations to be able to efficiently manage process models as a kind of organizational data. Most of previous approaches for process model representation exploit graph data structures to represent (part of) the process control-flow. While these representations work well to analyze the overall process behavior and its KPIs, they are complex data structures which pose some challenges for other kind of analyses requiring, e.g., model comparison. In this paper we explore an alternative approach to representing process structure. We introduce a set of features that describe the context of an activity inside a process, thus embedding the information about the process structure in the activity representation. This representation enables the use of standard vector techniques to capture certain structural similarities among activities and is then suited to support tasks like similarity-based comparison and mapping of processes without resorting to graph-based approaches.

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KW - Activity similarity

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KW - Process model clustering

KW - Process similarity

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BT - New Trends in Database and Information Systems - ADBIS 2022 Short Papers, Doctoral Consortium and Workshops

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Chiorrini A, Diamantini C, Genga L, Pioli M, Potena D. Embedding Process Structure in Activities for Process Mapping and Comparison. In Chiusano S, Cerquitelli T, Wrembel R, Nørvåg K, Catania B, Vargas-Solar G, Zumpano E, editors, New Trends in Database and Information Systems - ADBIS 2022 Short Papers, Doctoral Consortium and Workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH 2022, Proceedings. Springer. 2022. p. 119-129. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-15743-1_12