Integrating textual and model-based process descriptions for comprehensive process search
| Autor: | Manuel Raffel, Hajo A. Reijers, Jan Mendling, Fabian Pittke, Henrik Leopold, Han van der Aa |
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| Přispěvatelé: | Software and Sustainability (S2), Network Institute, Business Informatica |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Process modeling
Information retrieval Process (engineering) Computer science Business process 02 engineering and technology computer.file_format Work in process Data format 020204 information systems 0202 electrical engineering electronic engineering information engineering Process information 020201 artificial intelligence & image processing RDF computer Complement (set theory) |
| Zdroj: | Enterprise, Business-Process and Information Systems Modeling ISBN: 9783319394282 BMMDS/EMMSAD Leopold, H, van der Aa, H, Pittke, F, Raffel, M, Mendling, J & Reijers, H A 2016, Integrating textual and model-based process descriptions for comprehensive process search . in Enterprise, Business-Process and Information Systems Modeling-17th International Conference, BPMDS 2016, 21st International Conference, EMMSAD 2016, Held at CAiSE 2016, Proceedings . vol. 248, Lecture Notes in Business Information Processing, vol. 248, Springer-Verlag, pp. 51-65, 17th International Conference on Business Process Modeling, Development and Support, BPMDS 2016 and 21st International Conference on Exploring Modeling Methods for Systems Analysis and Design, EMMSAD 2016 held at Conference on Advanced Information Systems Engineering, CAiSE 2016, Ljubljana, Slovenia, 13/06/16 . https://doi.org/10.1007/978-3-319-39429-9_4 Enterprise, Business-Process and Information Systems Modeling-17th International Conference, BPMDS 2016, 21st International Conference, EMMSAD 2016, Held at CAiSE 2016, Proceedings, 248, 51-65 |
| ISSN: | 1865-1348 |
| DOI: | 10.1007/978-3-319-39429-9_4 |
| Popis: | Documenting business processes using process models is common practice in many organizations. However, not all process information is best captured in process models. Hence, many organizations complement these models with textual descriptions that specify additional details. The problem with this supplementary use of textual descriptions is that existing techniques for automatically searching process repositories are limited to process models. They are not capable of taking the information from textual descriptions into account and, therefore, provide incomplete search results. In this paper, we address this problem and propose a technique that is capable of searching textual as well as model-based process descriptions. It automatically extracts process information from both descriptions types and stores it in a unified data format. An evaluation with a large Austrian bank demonstrates that the additional consideration of textual descriptions allows us to identify more relevant processes from a repository. |
| Databáze: | OpenAIRE |
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