Iprocess: Enabling iot platforms in data-driven knowledge-intensive processes

Abstract

The Internet of Things (IoT), the network of physical objects augmented with Internet-enabled computing devices to enable those objects sense the real world, has the potential to transform many industries. This includes harnessing real-time intelligence to improve risk-based decision making and supporting adaptive processes from core to edge. For example, modern police investigation processes are often extremely complex, data-driven and knowledge-intensive. In such processes, it is not sufficient to focus on data storage and data analysis; and the knowledge workers (e.g., investigators) will need to collect, understand and relate the big data (scattered across various systems) to process analysis: in order to communicate analysis findings, supporting evidences and to make decisions. In this paper, we present a scalable and extensible IoT-Enabled Process Data Analytics Pipeline (namely iProcess) to enable analysts ingest data from IoT devices, extract knowledge from this data and link them to process (execution) data. We introduce the notion of process Knowledge Lake and present novel techniques to summarize the linked IoT and process data to construct process narratives. This enables us to put the first step towards enabling storytelling with process data.

Original language	English
Title of host publication	Business Process Management Forum - BPM Forum 2018, Proceedings
Editors	Marco Montali, Mathias Weske, Jan vom Brocke, Ingo Weber
Publisher	Springer Verlag
Pages	108-126
Number of pages	19
ISBN (Print)	9783319986500
DOIs	https://doi.org/10.1007/978-3-319-98651-7_7
Publication status	Published - 2018
Externally published	Yes
Event	16th International Conference on Business Process Management Forum, BPM Forum 2018 - Sydney, Australia Duration: 9 Sep 2018 → 14 Sep 2018

Publication series

Name	Lecture Notes in Business Information Processing
Volume	329
ISSN (Print)	1865-1348

Conference

Conference	16th International Conference on Business Process Management Forum, BPM Forum 2018
Country	Australia
City	Sydney
Period	9.9.18 → 14.9.18

Keywords

Data-driven business processes
Knowledge-intensive business processes
Process Data Analytics
Process data science

ASJC Scopus subject areas

Management Information Systems
Control and Systems Engineering
Business and International Management
Information Systems
Modelling and Simulation
Information Systems and Management

Access to Document

10.1007/978-3-319-98651-7_7

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Cite this

Beheshti, A., Schiliro, F., Ghodratnama, S., Amouzgar, F., Benatallah, B., Yang, J., Sheng, Q. Z., Casati, F., & Motahari-Nezhad, H. R. (2018). Iprocess: Enabling iot platforms in data-driven knowledge-intensive processes. In M. Montali, M. Weske, J. vom Brocke, & I. Weber (Eds.), Business Process Management Forum - BPM Forum 2018, Proceedings (pp. 108-126). (Lecture Notes in Business Information Processing; Vol. 329). Springer Verlag. https://doi.org/10.1007/978-3-319-98651-7_7

Iprocess : Enabling iot platforms in data-driven knowledge-intensive processes. / Beheshti, Amin; Schiliro, Francesco; Ghodratnama, Samira; Amouzgar, Farhad; Benatallah, Boualem; Yang, Jian; Sheng, Quan Z.; Casati, Fabio; Motahari-Nezhad, Hamid Reza.

Business Process Management Forum - BPM Forum 2018, Proceedings. ed. / Marco Montali; Mathias Weske; Jan vom Brocke; Ingo Weber. Springer Verlag, 2018. p. 108-126 (Lecture Notes in Business Information Processing; Vol. 329).

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

Beheshti, A, Schiliro, F, Ghodratnama, S, Amouzgar, F, Benatallah, B, Yang, J, Sheng, QZ, Casati, F & Motahari-Nezhad, HR 2018, Iprocess: Enabling iot platforms in data-driven knowledge-intensive processes. in M Montali, M Weske, J vom Brocke & I Weber (eds), Business Process Management Forum - BPM Forum 2018, Proceedings. Lecture Notes in Business Information Processing, vol. 329, Springer Verlag, pp. 108-126, 16th International Conference on Business Process Management Forum, BPM Forum 2018, Sydney, Australia, 9.9.18. https://doi.org/10.1007/978-3-319-98651-7_7

Beheshti A, Schiliro F, Ghodratnama S, Amouzgar F, Benatallah B, Yang J et al. Iprocess: Enabling iot platforms in data-driven knowledge-intensive processes. In Montali M, Weske M, vom Brocke J, Weber I, editors, Business Process Management Forum - BPM Forum 2018, Proceedings. Springer Verlag. 2018. p. 108-126. (Lecture Notes in Business Information Processing). https://doi.org/10.1007/978-3-319-98651-7_7

Beheshti, Amin ; Schiliro, Francesco ; Ghodratnama, Samira ; Amouzgar, Farhad ; Benatallah, Boualem ; Yang, Jian ; Sheng, Quan Z. ; Casati, Fabio ; Motahari-Nezhad, Hamid Reza. / Iprocess : Enabling iot platforms in data-driven knowledge-intensive processes. Business Process Management Forum - BPM Forum 2018, Proceedings. editor / Marco Montali ; Mathias Weske ; Jan vom Brocke ; Ingo Weber. Springer Verlag, 2018. pp. 108-126 (Lecture Notes in Business Information Processing).

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