Adaptive semantic process modeling tool
Subtitle
Demo paper
Publication date
2016-09-30
Document type
Konferenzbeitrag
Author
Weller, Tobias
Organisational unit
Karlsruhe Institute of Technology
Scopus ID
ISSN
Conference
Posters&Demos@SEMANTiCS 2016 and SuCCESS'16 Workshop (SEMPDS-2016) : Leipzig, Germany, September 12-15, 2016
Series or journal
CEUR Workshop Proceedings
Periodical volume
1695
Book title
Joint Proceedings of the Posters and Demos Track of the 12th International Conference on Semantic Systems - SEMANTiCS2016 and the 1st International Workshop on Semantic Change & Evolving Semantics (SuCCESS'16) co-located with the 12th International Conference on Semantic Systems (SEMANTiCS 2016)
Part of the university bibliography
Nein
Abstract
Processes need to be captured in a structured way in order to analyse them by using computer-assisted methods. This circumstance becomes more important as processes become complex. Business Process Model and Notation appears as de factor standard in industry as process modeling language. However, it has a limit that semantics like e.g input/output parameters, involved persons or references to external data sources are not captured. This circumstance leads to a negligence of important semantic information. Semantic information can be used in process analysis to enhance them and find new insights. In addition are process modeling languages often extended with new elements to adapt its expressiveness to latest scenarios, as well as to model scenarios in specific domains. To address these problems we 1) allow users to define BPMN elements, as well as corresponding semantics for them; 2) provide an open-source tool to capture BPMN process models graphically in a Semantic MediaWiki; 3) publish the information according to the Linked Data principles and 4) show that the system is easy extensible to latest process elements.
Version
Published version
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Metadata only access