PQL - A Descriptive Language for Querying, Abstracting and Changing Process Models

Creators: Kammerer, Klaus and Kolb, Jens and Reichert, Manfred
Title: PQL - A Descriptive Language for Querying, Abstracting and Changing Process Models
Item Type: Conference or Workshop Item
Event Title: (Proceedings of the) 16th International Working Conference on Business Process Modeling, Development, and Support (BPMDS), 20th International Conference, EMMSAD 2015, Held at CAiSE 2015
Event Location: Stockholm, Sweden
Event Dates: June, 8 -9, 2015
Page Range: pp. 135-140
Date: 2015
Divisions: Informationsmanagement
Abstract (ENG): The increasing adoption of process-aware information systems (PAISs) has resulted in large process repositories comprising large and complex process models. To enable context-specific perspectives on these process models and related data, a PAIS should provide techniques for the flexible creation and change of process model abstractions. However, existing approaches focus on the formal model transformations required in this context rather than on techniques for querying, abstracting and changing the process models in process repositories. This paper presents a domain-specific language for querying process models, describing abstractions on them, and defining process model changes in a generic way. Due to the generic approach taken, the definition of process model abstractions and changes on any graph-based process notation becomes possible. Overall, the presented language provides a key component for process model repositories.
Forthcoming: No
Language: English
Citation:

Kammerer, Klaus and Kolb, Jens and Reichert, Manfred (2015) PQL - A Descriptive Language for Querying, Abstracting and Changing Process Models. In: (Proceedings of the) 16th International Working Conference on Business Process Modeling, Development, and Support (BPMDS), 20th International Conference, EMMSAD 2015, Held at CAiSE 2015, June, 8 -9, 2015, Stockholm, Sweden, pp. 135-140. (Lecture Notes in Business Information Processing; 214). ISBN 9783319192376

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