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

13 Citations (Scopus)

5 Downloads (Pure)

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 - 2018
Externally published	Yes

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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.",

author = "Hugo-Andr{\'e}s L{\'o}pez-Acosta and Thomas Hildebrandt and S{\o}ren Debois and Morten Marquard",

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)",

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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

Y1 - 2018

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.

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

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