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Towards a Collaborative Process Platform: Publishing Processes according to the Linked Data Principles

Weller, Tobias; Maleshkova, Maria

Abstract:
Research in the area of process modeling and analysis has a long-established tradition. Process modeling is among others used in the medical domain to define an ideal workflow in order to ensure an efficient treatment of patients. These processes are often defined and maintained by multiple persons. Furthermore, multiple persons are interested in these defined processes to compare them with own defined processes for improvements purposes. Current solutions provide tools to model processes locally and export them in standard formats in order to exchange them. Besides, there are some collaboration tools available to model processes collaboratively and see changes dynamically. However, these solutions do not publish the data according to the Linked Data principles. Enriching processes with semantic information is useful in order to perform enhanced analysis. However, different users can only provide particular meta-information on same process steps. To address these problems we 1) developed an intuitive, open-source extension for Semantic MediaWiki that supports the graphical modeling of processes and stores the information in a struct ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000092937
Veröffentlicht am 03.05.2019
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Jahr 2016
Sprache Englisch
Identifikator ISSN: 1613-0073
KITopen-ID: 1000092937
Erschienen in LDOW 2016- Linked Data on the Web, Proceedings of the Workshop on Linked Data on the Web, co-located with 25th International World Wide Web Conference (WWW 2016), Montreal, Canada, April 12th, 2016. Ed.: S. Auer
Verlag RWTH, Aachen
Serie CEUR Workshop Proceedings ; 1593
Schlagworte Business Process Model and Notation, Semantic MediaWiki, Linked Data principles, Collaborative Platform, User Roles
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