Automated Planning of Process Models: Towards a Semantic-Based ApproachBernd Heinrich (University of Innsbruck, Austria), Mathias Klier (University of Innsbruck, Austria) and Steffen Zimmermann (University of Innsbruck, Austria)
Copyright © 2012. 26 pages.
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DOI: 10.4018/978-1-60960-126-3.ch009, ISBN13: 9781609601263, ISBN10: 1609601262, EISBN13: 9781609601287 Sample PDFCite Chapter
MLA
Heinrich, Bernd, Mathias Klier and Steffen Zimmermann. "Automated Planning of Process Models: Towards a Semantic-Based Approach." Semantic Technologies for Business and Information Systems Engineering: Concepts and Applications. IGI Global, 2012. 169-194. Web. 23 May. 2012. doi:10.4018/978-1-60960-126-3.ch009
APA
Heinrich, B., Klier, M., & Zimmermann, S. (2012). Automated Planning of Process Models: Towards a Semantic-Based Approach. In S. Smolnik, F. Teuteberg, & O. Thomas (Eds.), Semantic Technologies for Business and Information Systems Engineering: Concepts and Applications (pp. 169-194). Hershey, PA: Business Science Reference. doi:10.4018/978-1-60960-126-3.ch009
Chicago
Heinrich, Bernd, Mathias Klier and Steffen Zimmermann. "Automated Planning of Process Models: Towards a Semantic-Based Approach." In Semantic Technologies for Business and Information Systems Engineering: Concepts and Applications, ed. Stefan Smolnik, Frank Teuteberg and Oliver Thomas, 169-194 (2012), accessed May 23, 2012. doi:10.4018/978-1-60960-126-3.ch009
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 | | TopAbstractCompanies need to adapt their processes quickly in order to react to changing customer demands or new regulations, for example. Process models are an appropriate means to support process setup but currently the (re)design of process models is a time-consuming manual task. Semantic Business Process Management, in combination with planning approaches, can alleviate this drawback. This means that the workload of (manual) process modeling could be reduced by constructing models in an automated way. Since existing, traditional planning algorithms show drawbacks for the application in Semantic Business Process Management, we introduce a novel approach that is suitable especially for the Semantic-based Planning of process models. In this chapter, we focus on the semantic reasoning, which is necessary in order to construct control structures, such as decision nodes, which are vital elements of process models. We illustrate our approach by a running example taken from the financial services domain. Moreover, we demonstrate its applicability by a prototype and provide some insights into the evaluation of our approach. TopComplete Chapter List|
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| An Ontology-Based Method to Construct a Reference Model Catalogue for the Energy Sector
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| Ontological Evaluation of Scheer’s Reference Model for Production Planning and Control Systems
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| Heterogeneous Text and Numerical Data Mining with Possible Applications in Business and Financial Sectors
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| 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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| Supporting Conceptual Model Analysis Using Semantic Standardization and Structural Pattern Matching
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| Semantic Verification of Business Process Models: Prospects and Limitations
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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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| Stepwise Semantic Enrichment in Health-Related Public Management by Using Semantic Information Models
(pages 195-212)
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| EPCs Annotated with Lexical and Semantic Labels to Bridge the Gap between Human Understandability and Machine Interpretability
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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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| Functional Components Specification in the Semantic SOA-Based Model
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| Semantic-Enabled Compliance Management
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| Semantic Policies for Modeling Regulatory Process Compliance
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17.
| A Broader View on Context Models towards Supporting Business Process Agility
(pages 337-358)
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