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based support approach for process modeling. Jonas Bulegon Gassen, Jan Mendling, Amel. Bouzeghoub, Lucinéia Heloisa Thom, José. Palazzo M. de Oliveira.
An experiment on an ontologybased support approach for process modeling

Jonas Bulegon Gassen, Jan Mendling, Amel Bouzeghoub, Lucinéia Heloisa Thom, José Palazzo M. de Oliveira. Information & Software Technology 83: 94-115 (2017)

The Vocabulary Problem

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Supporting the Process of Process Modeling

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Ontology Support: Good or Bad? Benefits for

Challenges in terms of

 Label Refactoring

 Limited Working Memory

 Verification and Validation

 Time Consumption

 Translation

 Attention Economy

 Annotation

 Extraneous Cognitive Load

 Model Matching

 Search Space

 Workflow Specification

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Principles of Ontology Support for Process Modeling 1. Effective Filtering 2. Efficient Search 3. Efficient Labeling Support

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How to Implement this?

H1: Our ontology-based support approach will not increase time consumption for modeling and reconciliation; H2: Our ontology-based support approach will not increase extraneous cognitive load; H3: Our ontology-based support approach will improve the labeling of activities; H4: Our ontology-based support approach will not increase mental effort for model creation. PAGE 6

Experimental Design Group A with ontology

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Group B without ontology

Experimental Task  Textual Description of this Business Process

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Experimental Ontology

Manipulation Check: Comparison of Activity Labels Created

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Results Overview

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H1: time for modeling and reconciliation

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H2: extraneous cognitive load

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H3: labeling

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H4: mental effort

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Related Work

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Take Away Principles

Results

1. Effective Filtering 2. Efficient Search

 H1: not increase time consumption for modeling and reconciliation;

3. Efficient Labeling Support

 H3: improve the labeling of activities;

 H2: not increase extraneous cognitive load;  H4: not increase mental effort for model creation.

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