Automated Construction of Process Goal Trees from EPC-Models to Facilitate Extraction of Process Patterns

Andreas Bögl; Michael Schrefl; Gustav Pomberger; Norbert Weber

doi:10.1007/978-3-642-01347-8_36#page-1

Automated Construction of Process Goal Trees from EPC-Models to Facilitate Extraction of Process Patterns

Andreas Bögl, Michael Schrefl, Gustav Pomberger, Norbert Weber

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

Extracting process patterns from EPC (Event-Driven Process Chain) models requires to perform a semantic analysis of EPC functions and events. An automated semantic analysis faces the problem that an essential part of the EPC semantics is bound to natural language expressions in functions and events with undefined process semantics. The semantic annotation of natural language expressions provides an adequate approach to tackle this problem. This paper introduces a novel approach that enables an automated semantic annotation of EPC functions and events. It employs semantic patterns to analyze the textual structure of natural language expressions and to relate them to instances of a reference ontology. Thus, semantically annotated EPC model elements are input for subsequent semantic analysis. Keywords: Semantic Annotation, Semantic Patterns, Semantic EPC Models, Process Ontology

Original language	English
Title of host publication	Enterprise Information Systems - 11th International Conference, ICEIS 2009, Proceedings
Publisher	Springer Verlag LNBIP
Pages	427-442
Number of pages	16
ISBN (Print)	9783642013461
DOIs	https://doi.org/10.1007/978-3-642-01347-8_36#page-1
Publication status	Published - May 2009

Publication series

Name	Lecture Notes in Business Information Processing (LNBIP)

Fields of science

102 Computer Sciences
102015 Information systems

Access to Document

10.1007/978-3-642-01347-8_36#page-1

pModeler
Kobler, M. (Researcher), Schrefl, M. (Researcher), Bögl, A. (PI) & Pomberger, G. (PI)
01.10.2004 → 31.12.2009
Project: Contract research › Industry project
Business Process Improvement
Bögl, A. (Researcher), Kobler, M. (Researcher), Pomberger, G. (PI) & Sametinger, J. (PI)
01.10.2004 → 30.09.2007
Project: Contract research › Industry project

Cite this

Bögl, A., Schrefl, M., Pomberger, G., & Weber, N. (2009). Automated Construction of Process Goal Trees from EPC-Models to Facilitate Extraction of Process Patterns. In Enterprise Information Systems - 11th International Conference, ICEIS 2009, Proceedings (pp. 427-442). (Lecture Notes in Business Information Processing (LNBIP)). Springer Verlag LNBIP. https://doi.org/10.1007/978-3-642-01347-8_36#page-1

@inproceedings{bb1229b82bbf41c685f0ccdd578f0b09,

title = "Automated Construction of Process Goal Trees from EPC-Models to Facilitate Extraction of Process Patterns",

abstract = "Extracting process patterns from EPC (Event-Driven Process Chain) models requires to perform a semantic analysis of EPC functions and events. An automated semantic analysis faces the problem that an essential part of the EPC semantics is bound to natural language expressions in functions and events with undefined process semantics. The semantic annotation of natural language expressions provides an adequate approach to tackle this problem. This paper introduces a novel approach that enables an automated semantic annotation of EPC functions and events. It employs semantic patterns to analyze the textual structure of natural language expressions and to relate them to instances of a reference ontology. Thus, semantically annotated EPC model elements are input for subsequent semantic analysis. Keywords: Semantic Annotation, Semantic Patterns, Semantic EPC Models, Process Ontology",

author = "Andreas B{\"o}gl and Michael Schrefl and Gustav Pomberger and Norbert Weber",

year = "2009",

month = may,

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language = "English",

isbn = "9783642013461",

series = "Lecture Notes in Business Information Processing (LNBIP)",

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pages = "427--442",

booktitle = "Enterprise Information Systems - 11th International Conference, ICEIS 2009, Proceedings",

}

Bögl, A, Schrefl, M , Pomberger, G & Weber, N 2009, Automated Construction of Process Goal Trees from EPC-Models to Facilitate Extraction of Process Patterns. in Enterprise Information Systems - 11th International Conference, ICEIS 2009, Proceedings. Lecture Notes in Business Information Processing (LNBIP), Springer Verlag LNBIP, pp. 427-442. https://doi.org/10.1007/978-3-642-01347-8_36#page-1

Automated Construction of Process Goal Trees from EPC-Models to Facilitate Extraction of Process Patterns. / Bögl, Andreas; Schrefl, Michael ; Pomberger, Gustav et al.
Enterprise Information Systems - 11th International Conference, ICEIS 2009, Proceedings. Springer Verlag LNBIP, 2009. p. 427-442 (Lecture Notes in Business Information Processing (LNBIP)).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - Automated Construction of Process Goal Trees from EPC-Models to Facilitate Extraction of Process Patterns

AU - Bögl, Andreas

AU - Schrefl, Michael

AU - Pomberger, Gustav

AU - Weber, Norbert

PY - 2009/5

Y1 - 2009/5

N2 - Extracting process patterns from EPC (Event-Driven Process Chain) models requires to perform a semantic analysis of EPC functions and events. An automated semantic analysis faces the problem that an essential part of the EPC semantics is bound to natural language expressions in functions and events with undefined process semantics. The semantic annotation of natural language expressions provides an adequate approach to tackle this problem. This paper introduces a novel approach that enables an automated semantic annotation of EPC functions and events. It employs semantic patterns to analyze the textual structure of natural language expressions and to relate them to instances of a reference ontology. Thus, semantically annotated EPC model elements are input for subsequent semantic analysis. Keywords: Semantic Annotation, Semantic Patterns, Semantic EPC Models, Process Ontology

AB - Extracting process patterns from EPC (Event-Driven Process Chain) models requires to perform a semantic analysis of EPC functions and events. An automated semantic analysis faces the problem that an essential part of the EPC semantics is bound to natural language expressions in functions and events with undefined process semantics. The semantic annotation of natural language expressions provides an adequate approach to tackle this problem. This paper introduces a novel approach that enables an automated semantic annotation of EPC functions and events. It employs semantic patterns to analyze the textual structure of natural language expressions and to relate them to instances of a reference ontology. Thus, semantically annotated EPC model elements are input for subsequent semantic analysis. Keywords: Semantic Annotation, Semantic Patterns, Semantic EPC Models, Process Ontology

U2 - 10.1007/978-3-642-01347-8_36#page-1

DO - 10.1007/978-3-642-01347-8_36#page-1

M3 - Conference proceedings

SN - 9783642013461

T3 - Lecture Notes in Business Information Processing (LNBIP)

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BT - Enterprise Information Systems - 11th International Conference, ICEIS 2009, Proceedings

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Bögl A, Schrefl M , Pomberger G, Weber N. Automated Construction of Process Goal Trees from EPC-Models to Facilitate Extraction of Process Patterns. In Enterprise Information Systems - 11th International Conference, ICEIS 2009, Proceedings. Springer Verlag LNBIP. 2009. p. 427-442. (Lecture Notes in Business Information Processing (LNBIP)). doi: 10.1007/978-3-642-01347-8_36#page-1

Automated Construction of Process Goal Trees from EPC-Models to Facilitate Extraction of Process Patterns

Abstract

Publication series

Fields of science

Access to Document

Projects

pModeler

Business Process Improvement

Cite this