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2017 | OriginalPaper | Buchkapitel

Aligning Process Model Terminology with Hypernym Relations

verfasst von : Stefan Bunk, Fabian Pittke, Jan Mendling

Erschienen in: Data-Driven Process Discovery and Analysis

Verlag: Springer International Publishing

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Abstract

Business process models are intensively used in organizations with various persons being involved in their creation. One of the challenges is the usage of a consistent terminology to label the activities of these process models. To support this task, prior research has proposed quality metrics to support the usage of consistent terms, mainly based on linguistic relations such as synonymy or homonymy. In this paper, we propose a new approach that utilizes hypernym hierarchies. We use these hierarchies to define a measure of abstractness which helps users to align the level of detail within one process model. Moreover, we define two techniques to detect specific terminology defects, namely process hierarchy defects and object hierarchy defects, and give recommendations to align them with hypernym hierarchies. We evaluate our approach on three process model collections from practice.

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Vorheriges Kapitel Using Domain Knowledge to Enhance Process Mining Results

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Titel: Aligning Process Model Terminology with Hypernym Relations
verfasst von: Stefan Bunk
Fabian Pittke
Jan Mendling
Verlag: Springer International Publishing
Buch: Data-Driven Process Discovery and Analysis
Print ISBN: 978-3-319-53434-3

Electronic ISBN: 978-3-319-53435-0

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-53435-0_5

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