an extension to HTML, XML and RDF. We here consider. the XML variant, i.e. a particular set of XML-tags linking. text instances, e.g. projectName, to concept ...
Sep 8, 2008 - taking the knowledge coming from the characterization of network as input. ⢠producing a BPMN compliant process as output. Knowledge on.
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Jul 11, 2013 - ontology, this paper introduces a requirement-driven service composition approach. ..... {infobase, customer}, {hotel, creditcard, ticket, buyer}.
This paper presents an innovative approach to implementing integrated environmental and health and safety management systems in construction companies.
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checking the conformity of a construction project represented by RDF graph ... ontology, the intervention of a domain expert is necessary whose task is to define.
because an abstract class, by definition, is required to create subclasses of its instance. ..... http://www.gartner.com/it-glossary/cloud-servicesbrokerage- csb. 18.
Adaptive Systems, Service-Oriented Systems, Choreography, UML Stat Machine, ..... We assumed that products of a package include 'HDD', 'CPU' and 'MB'.
Apr 11, 2014 - Enterprise Process modeling and automation ..... Specifically, software companies are a special kind of IT enterprises delivering software.
Sep 3, 2012 - Web service composition, domain ontology, owl. 1. INTRODUCTION. The number of web services available to serve different purposes.
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Mar 8, 2018 - fecal samples of subjects with PD are Blautia, Coprococcus, and ..... (2011). Assessment of psychotropic-like properties of a probiotic.
Jun 14, 2016 - We present the initial work toward developing a clinical decision support model for specific design of removable partial dentures (RPDs) in ...
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An experiment on an ontology- based support approach for process ...
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
PAGE 7
Group B without ontology
Experimental Task Textual Description of this Business Process
PAGE 8
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
SEITE 13
H3: labeling
SEITE 14
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.
