The Process Highlighter: From Texts to Declarative Processes and Back

Hugo-Andrés López-Acosta; Thomas Hildebrandt; Søren Debois; Morten Marquard

The Process Highlighter: From Texts to Declarative Processes and Back

Hugo-Andrés López-Acosta, Thomas Hildebrandt, Søren Debois, Morten Marquard

Research output: Journal Article or Conference Article in Journal › Conference article › Research › peer-review

Abstract

The adoption of formal models by process specialists has faced two challenges: First, it requires process specialists to get training in formal modeling. Second, the resulting specifications bear little resemblance wrt. the original descriptions. We introduce a tool that supports translations between natural language descriptions and declarative process models. The resulting models are given in a graphical formalism, DCR Graphs. Traceability is at the core of the tool: Later changes in the process model due to, eg, ambiguity resolution are traced back into the text. This allows users to either correct and complete their descriptions, or to derive models more refined than the text. In this paper, we describe the mechanics of the tool and provide examples of its use. Finally, we report on experiences using the tool in a Danish Municipal government.

Original language	English
Journal	CEUR Workshop Proceedings
Pages (from-to)	66-70
Number of pages	5
ISSN	1613-0073
Publication status	Published - 10 Sept 2018

Keywords

Process highlighter
Process Models
Business Process Management
Digitalization

Access to Document

BPM_2018_paper_14Final published version, 601 KB

http://ceur-ws.org/Vol-2196/BPM_2018_paper_14.pdf

1 Report

The Process Highlighter: From Texts to Declarative Processes and Back
López-Acosta, H.-A., Hildebrandt, T., Debois, S. & Marquard, M., 28 Sept 2018, Copenhagen: IT-Universitetet i København. 19 p. (IT University Technical Report Series).
Research output: Book / Anthology / Report / Ph.D. thesis › Report › Communication

1 Finished

EcoKnow: Effective, co-created & compliant adaptive case management for knowledge workers
Hildebrandt, T. (PI), Debois, S. (CoI), Christensen, L. R. (CoI), Cohn, M. (CoI), Faithfull, A. (CoI), Petersen, A. C. M. (CoI), Madsen, F. (CoI) & Mbabazi, P. N. (CoI)
IFD - Innovation Fund Denmark
01/09/2017 → 31/08/2021
Project: Research

Cite this

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title = "The Process Highlighter: From Texts to Declarative Processes and Back",

abstract = "The adoption of formal models by process specialists has faced two challenges: First, it requires process specialists to get training in formal modeling. Second, the resulting specifications bear little resemblance wrt. the original descriptions. We introduce a tool that supports translations between natural language descriptions and declarative process models. The resulting models are given in a graphical formalism, DCR Graphs. Traceability is at the core of the tool: Later changes in the process model due to, eg, ambiguity resolution are traced back into the text. This allows users to either correct and complete their descriptions, or to derive models more refined than the text. In this paper, we describe the mechanics of the tool and provide examples of its use. Finally, we report on experiences using the tool in a Danish Municipal government.",

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note = "Joint Proceedings of the BIR 2018 Short Papers, Workshops and Doctoral Consortium co-located with 17th International Conference Perspectives in Business Informatics Research (BIR 2018)",

year = "2018",

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T1 - The Process Highlighter: From Texts to Declarative Processes and Back

AU - López-Acosta, Hugo-Andrés

AU - Hildebrandt, Thomas

AU - Debois, Søren

AU - Marquard, Morten

N1 - Joint Proceedings of the BIR 2018 Short Papers, Workshops and Doctoral Consortium co-located with 17th International Conference Perspectives in Business Informatics Research (BIR 2018)

PY - 2018/9/10

Y1 - 2018/9/10

N2 - The adoption of formal models by process specialists has faced two challenges: First, it requires process specialists to get training in formal modeling. Second, the resulting specifications bear little resemblance wrt. the original descriptions. We introduce a tool that supports translations between natural language descriptions and declarative process models. The resulting models are given in a graphical formalism, DCR Graphs. Traceability is at the core of the tool: Later changes in the process model due to, eg, ambiguity resolution are traced back into the text. This allows users to either correct and complete their descriptions, or to derive models more refined than the text. In this paper, we describe the mechanics of the tool and provide examples of its use. Finally, we report on experiences using the tool in a Danish Municipal government.

AB - The adoption of formal models by process specialists has faced two challenges: First, it requires process specialists to get training in formal modeling. Second, the resulting specifications bear little resemblance wrt. the original descriptions. We introduce a tool that supports translations between natural language descriptions and declarative process models. The resulting models are given in a graphical formalism, DCR Graphs. Traceability is at the core of the tool: Later changes in the process model due to, eg, ambiguity resolution are traced back into the text. This allows users to either correct and complete their descriptions, or to derive models more refined than the text. In this paper, we describe the mechanics of the tool and provide examples of its use. Finally, we report on experiences using the tool in a Danish Municipal government.

KW - Process highlighter

KW - Process Models

KW - Business Process Management

KW - Digitalization

KW - Process highlighter

KW - Process Models

KW - Business Process Management

KW - Digitalization

M3 - Conference article

SN - 1613-0073

SP - 66

EP - 70

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

ER -

The Process Highlighter: From Texts to Declarative Processes and Back

Abstract

Keywords

Access to Document

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Research output

The Process Highlighter: From Texts to Declarative Processes and Back

Projects

EcoKnow: Effective, co-created & compliant adaptive case management for knowledge workers

Cite this