Supporting Conceptual Model Analysis Using Semantic Standardization and Structural Pattern MatchingPatrick Delfmann (University of Münster, Germany), Sebastian Herwig (University of Münster, Germany), Lukasz Lis (University of Münster, Germany) and Jörg Becker (University of Münster, Germany)
Copyright © 2012. 25 pages.
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DOI: 10.4018/978-1-60960-126-3.ch007, ISBN13: 9781609601263, ISBN10: 1609601262, EISBN13: 9781609601287 Sample PDFCite Chapter
MLA
Delfmann, Patrick, Sebastian Herwig, Lukasz Lis and Jörg Becker. "Supporting Conceptual Model Analysis Using Semantic Standardization and Structural Pattern Matching." Semantic Technologies for Business and Information Systems Engineering: Concepts and Applications. IGI Global, 2012. 125-149. Web. 23 May. 2012. doi:10.4018/978-1-60960-126-3.ch007
APA
Delfmann, P., Herwig, S., Lis, L., & Becker, J. (2012). Supporting Conceptual Model Analysis Using Semantic Standardization and Structural Pattern Matching. In S. Smolnik, F. Teuteberg, & O. Thomas (Eds.), Semantic Technologies for Business and Information Systems Engineering: Concepts and Applications (pp. 125-149). Hershey, PA: Business Science Reference. doi:10.4018/978-1-60960-126-3.ch007
Chicago
Delfmann, Patrick, Sebastian Herwig, Lukasz Lis and Jörg Becker. "Supporting Conceptual Model Analysis Using Semantic Standardization and Structural Pattern Matching." In Semantic Technologies for Business and Information Systems Engineering: Concepts and Applications, ed. Stefan Smolnik, Frank Teuteberg and Oliver Thomas, 125-149 (2012), accessed May 23, 2012. doi:10.4018/978-1-60960-126-3.ch007
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 | | TopAbstractAnalysis of conceptual models is useful for a number of purposes, such as revealing syntactical errors, model comparison, model integration, and identification of business process improvement potentials, with both the model structure and the model contents having to be considered. In this contribution, we introduce a generic model analysis approach. Unlike existing approaches, we do not focus on a certain application problem or a specific modeling language. Instead, our approach is generic, making it applicable for any analysis purpose and any graph-based conceptual modeling language. The approach integrates pattern matching for structural analysis and linguistic standardization enabling an unambiguous analysis of the models’ contents. TopComplete Chapter List|
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| Ontologies and Controlled Vocabulary: Comparison of Building Methodologies
(pages 1-15)
Daniela Lucas da Silva (Universidade Federal do Espírito Santo, Brazil), Renato Rocha Souza (Fundação Getúlio Vargas, Brazil), Maurício Barcellos Almeida (Universidade Federal de Minas Gerais, Brazil)
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2.
| An Ontology-Based Method to Construct a Reference Model Catalogue for the Energy Sector
(pages 16-39)
José M. González (OFFIS – Institute for Information Technology, Germany), Mathias Uslar (OFFIS – Institute for Information Technology, Germany)
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3.
| Ontological Evaluation of Scheer’s Reference Model for Production Planning and Control Systems
(pages 40-58)
Peter Fettke (German Research Center for Artificial Intelligence, Germany), Peter Loos (German Research Center for Artificial Intelligence, Germany)
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4.
| Heterogeneous Text and Numerical Data Mining with Possible Applications in Business and Financial Sectors
(pages 60-80)
Farid Bourennani (University of Ontario Institute of Technology, Canada), Shahryar Rahnamayan (University of Ontario Institute of Technology, Canada)
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5.
| Semantic Integration of Structured and Unstructured Data in Data Warehousing and Knowledge Management Systems
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| Enhancing the Personal Knowledge Management with Semantic Desktop Technologies: SCAN approach
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7.
| Supporting Conceptual Model Analysis Using Semantic Standardization and Structural Pattern Matching
(pages 125-149)
Patrick Delfmann (University of Münster, Germany), Sebastian Herwig (University of Münster, Germany), Lukasz Lis (University of Münster, Germany), Jörg Becker (University of Münster, Germany)
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8.
| Semantic Verification of Business Process Models: Prospects and Limitations
(pages 150-168)
Michael Fellmann (University of Osnabrueck, Germany), Oliver Thomas (University of Osnabrueck, Germany), Frank Hogrebe (University of Hamburg, Germany)
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9.
| Automated Planning of Process Models: Towards a Semantic-Based Approach
(pages 169-194)
Bernd Heinrich (University of Innsbruck, Austria), Mathias Klier (University of Innsbruck, Austria), Steffen Zimmermann (University of Innsbruck, Austria)
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10.
| Stepwise Semantic Enrichment in Health-Related Public Management by Using Semantic Information Models
(pages 195-212)
Hans-Georg Fill (University of Vienna, Austria & Stanford University, USA), Ilona Reischl (AGES PharmMed, Austria)
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11.
| EPCs Annotated with Lexical and Semantic Labels to Bridge the Gap between Human Understandability and Machine Interpretability
(pages 214-241)
Andreas Bögl (Johannes Kepler University Linz, Austria), Michael Karlinger (Johannes Kepler University Linz, Austria), Michael Schrefl (Johannes Kepler University Linz, Austria), Gustav Pomberger (Johannes Kepler University Linz, Austria)
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12.
| Semantic Annotation of Business Process Templates
(pages 242-258)
Yun Lin (Agresso, Norway), Darijus Strasunskas (Norwegian University of Science and Technology, Norway)
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13.
| Semantically Enhanced Business Process Modeling Notation
(pages 259-275)
Witold Abramowicz (Poznan University of Economics, Poland), Agata Filipowska (Poznan University of Economics, Poland), Monika Kaczmarek (Poznan University of Economics, Poland), Tomasz Kaczmarek (Poznan University of Economics, Poland)
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14.
| Functional Components Specification in the Semantic SOA-Based Model
(pages 277-291)
Tariq Mahmoud (Carl von Ossietzky University of Oldenburg, Germany), Jorge Marx Gómez (Carl von Ossietzky University of Oldenburg, Germany), Timo von der Dovenmühle (Carl von Ossietzky University of Oldenburg, Germany)
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15.
| Semantic-Enabled Compliance Management
(pages 292-310)
Rainer Telesko (Fachhochschule Nordwestschweiz, Switzerland), Simon Nikles (Fachhochschule Nordwestschweiz, Switzerland)
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16.
| Semantic Policies for Modeling Regulatory Process Compliance
(pages 311-336)
Marwane El Kharbili (University of Luxemburg, Luxemburg), Elke Pulvermueller (University of Osnabrueck, Germany)
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17.
| A Broader View on Context Models towards Supporting Business Process Agility
(pages 337-358)
Barbara Thönssen (University of Applied Sciences Northwestern Switzerland, Switzerland), Daniela Wolff (University of Applied Sciences Northwestern Switzerland, Switzerland)
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