Towards a Framework for Context Awareness Based on Textual Process Data: Case Study Insights

Aleksandra Revina; Nina Rizun; Ünal Aksu

doi:10.1007/978-3-031-26886-1_2

Towards a Framework for Context Awareness Based on Textual Process Data: Case Study Insights

Aleksandra Revina^*
, Nina Rizun
, Ünal Aksu

^*Corresponding author for this work

Technical University of Berlin
Technische Hochschule Brandenburg
Gdańsk University of Technology

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

Abstract

Context awareness is critical for the successful execution of processes. In the abundance of business process management (BPM) research, frameworks exclusively devoted to extracting context from textual process data are scarce. With the deluge of textual data and its increasing value for organizations, it becomes essential to employ relevant text analytics techniques to increase the awareness of process workers, which is important for process execution. The present paper addresses this demand by developing a framework for context awareness based on process executions-related textual data using a well-established layered BPM context model. This framework combines and maps various text analytics techniques to the layers of the context model, aiming to increase the context awareness of process workers and facilitate informed decision-making. The framework is applied in an IT ticket processing case study. The findings show that contextual information obtained using our framework enriches the awareness of process workers regarding the process instance urgency, complexity, and upcoming tasks and assists in making decisions in terms of these aspects.

Original language	English
Title of host publication	Enterprise Design, Operations, and Computing. EDOC 2022 Workshops - IDAMS, SoEA4EE, TEAR, EDOC Forum, Demonstrations Track and Doctoral Consortium, Revised Selected Papers
Editors	Tiago Prince Sales, Henderik A. Proper, Giancarlo Guizzardi, Marco Montali, Fabrizio Maria Maggi, Claudenir M. Fonseca
Publisher	Springer
Pages	25-41
Number of pages	17
ISBN (Print)	9783031268854
DOIs	https://doi.org/10.1007/978-3-031-26886-1_2
Publication status	Published - 24 Feb 2023
Event	Workshops on IDAMS, SoEA4EE, TEAR, the EDOC Forum and the Demonstration and Doctoral Consortium track, held at the 26th International Conference on Enterprise Design, Operations, and Computing, EDOC 2022 - Bozen-Bolzano, Italy Duration: 4 Oct 2022 → 7 Oct 2022

Publication series

Name	Lecture Notes in Business Information Processing
Volume	466 LNBIP
ISSN (Print)	1865-1348
ISSN (Electronic)	1865-1356

Conference

Conference	Workshops on IDAMS, SoEA4EE, TEAR, the EDOC Forum and the Demonstration and Doctoral Consortium track, held at the 26th International Conference on Enterprise Design, Operations, and Computing, EDOC 2022
Country/Territory	Italy
City	Bozen-Bolzano
Period	4/10/22 → 7/10/22

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Business process management
Context awareness
Text analytics
Textual data

Access to Document

10.1007/978-3-031-26886-1_2

978-3-031-26886-1_2Final published version, 743 KBLicence: Taverne

Cite this

Revina, A., Rizun, N., & Aksu, Ü. (2023). Towards a Framework for Context Awareness Based on Textual Process Data: Case Study Insights. In T. P. Sales, H. A. Proper, G. Guizzardi, M. Montali, F. M. Maggi, & C. M. Fonseca (Eds.), Enterprise Design, Operations, and Computing. EDOC 2022 Workshops - IDAMS, SoEA4EE, TEAR, EDOC Forum, Demonstrations Track and Doctoral Consortium, Revised Selected Papers (pp. 25-41). (Lecture Notes in Business Information Processing; Vol. 466 LNBIP). Springer. https://doi.org/10.1007/978-3-031-26886-1_2

Revina, Aleksandra ; Rizun, Nina ; Aksu, Ünal. / Towards a Framework for Context Awareness Based on Textual Process Data : Case Study Insights. Enterprise Design, Operations, and Computing. EDOC 2022 Workshops - IDAMS, SoEA4EE, TEAR, EDOC Forum, Demonstrations Track and Doctoral Consortium, Revised Selected Papers. editor / Tiago Prince Sales ; Henderik A. Proper ; Giancarlo Guizzardi ; Marco Montali ; Fabrizio Maria Maggi ; Claudenir M. Fonseca. Springer, 2023. pp. 25-41 (Lecture Notes in Business Information Processing).

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abstract = "Context awareness is critical for the successful execution of processes. In the abundance of business process management (BPM) research, frameworks exclusively devoted to extracting context from textual process data are scarce. With the deluge of textual data and its increasing value for organizations, it becomes essential to employ relevant text analytics techniques to increase the awareness of process workers, which is important for process execution. The present paper addresses this demand by developing a framework for context awareness based on process executions-related textual data using a well-established layered BPM context model. This framework combines and maps various text analytics techniques to the layers of the context model, aiming to increase the context awareness of process workers and facilitate informed decision-making. The framework is applied in an IT ticket processing case study. The findings show that contextual information obtained using our framework enriches the awareness of process workers regarding the process instance urgency, complexity, and upcoming tasks and assists in making decisions in terms of these aspects.",

keywords = "Business process management, Context awareness, Text analytics, Textual data",

author = "Aleksandra Revina and Nina Rizun and {\"U}nal Aksu",

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Revina, A, Rizun, N & Aksu, Ü 2023, Towards a Framework for Context Awareness Based on Textual Process Data: Case Study Insights. in TP Sales, HA Proper, G Guizzardi, M Montali, FM Maggi & CM Fonseca (eds), Enterprise Design, Operations, and Computing. EDOC 2022 Workshops - IDAMS, SoEA4EE, TEAR, EDOC Forum, Demonstrations Track and Doctoral Consortium, Revised Selected Papers. Lecture Notes in Business Information Processing, vol. 466 LNBIP, Springer, pp. 25-41, Workshops on IDAMS, SoEA4EE, TEAR, the EDOC Forum and the Demonstration and Doctoral Consortium track, held at the 26th International Conference on Enterprise Design, Operations, and Computing, EDOC 2022, Bozen-Bolzano, Italy, 4/10/22. https://doi.org/10.1007/978-3-031-26886-1_2

Towards a Framework for Context Awareness Based on Textual Process Data: Case Study Insights. / Revina, Aleksandra; Rizun, Nina; Aksu, Ünal.
Enterprise Design, Operations, and Computing. EDOC 2022 Workshops - IDAMS, SoEA4EE, TEAR, EDOC Forum, Demonstrations Track and Doctoral Consortium, Revised Selected Papers. ed. / Tiago Prince Sales; Henderik A. Proper; Giancarlo Guizzardi; Marco Montali; Fabrizio Maria Maggi; Claudenir M. Fonseca. Springer, 2023. p. 25-41 (Lecture Notes in Business Information Processing; Vol. 466 LNBIP).

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

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T2 - Workshops on IDAMS, SoEA4EE, TEAR, the EDOC Forum and the Demonstration and Doctoral Consortium track, held at the 26th International Conference on Enterprise Design, Operations, and Computing, EDOC 2022

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AU - Aksu, Ünal

PY - 2023/2/24

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N2 - Context awareness is critical for the successful execution of processes. In the abundance of business process management (BPM) research, frameworks exclusively devoted to extracting context from textual process data are scarce. With the deluge of textual data and its increasing value for organizations, it becomes essential to employ relevant text analytics techniques to increase the awareness of process workers, which is important for process execution. The present paper addresses this demand by developing a framework for context awareness based on process executions-related textual data using a well-established layered BPM context model. This framework combines and maps various text analytics techniques to the layers of the context model, aiming to increase the context awareness of process workers and facilitate informed decision-making. The framework is applied in an IT ticket processing case study. The findings show that contextual information obtained using our framework enriches the awareness of process workers regarding the process instance urgency, complexity, and upcoming tasks and assists in making decisions in terms of these aspects.

AB - Context awareness is critical for the successful execution of processes. In the abundance of business process management (BPM) research, frameworks exclusively devoted to extracting context from textual process data are scarce. With the deluge of textual data and its increasing value for organizations, it becomes essential to employ relevant text analytics techniques to increase the awareness of process workers, which is important for process execution. The present paper addresses this demand by developing a framework for context awareness based on process executions-related textual data using a well-established layered BPM context model. This framework combines and maps various text analytics techniques to the layers of the context model, aiming to increase the context awareness of process workers and facilitate informed decision-making. The framework is applied in an IT ticket processing case study. The findings show that contextual information obtained using our framework enriches the awareness of process workers regarding the process instance urgency, complexity, and upcoming tasks and assists in making decisions in terms of these aspects.

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AN - SCOPUS:85149835611

SN - 9783031268854

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A2 - Proper, Henderik A.

A2 - Guizzardi, Giancarlo

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PB - Springer

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Revina A, Rizun N, Aksu Ü. Towards a Framework for Context Awareness Based on Textual Process Data: Case Study Insights. In Sales TP, Proper HA, Guizzardi G, Montali M, Maggi FM, Fonseca CM, editors, Enterprise Design, Operations, and Computing. EDOC 2022 Workshops - IDAMS, SoEA4EE, TEAR, EDOC Forum, Demonstrations Track and Doctoral Consortium, Revised Selected Papers. Springer. 2023. p. 25-41. (Lecture Notes in Business Information Processing). doi: 10.1007/978-3-031-26886-1_2

Towards a Framework for Context Awareness Based on Textual Process Data: Case Study Insights

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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Cite this