Using a semantic-based support system for merging knowledge from process participants
Authors:
- Krzysztof Kluza,
- Mateusz Kagan,
- Piotr Wiśniewski,
- Weronika T. Adrian,
- Paweł Jemioło,
- Anna Suchenia,
- Antoni Ligęza
Abstract
High complexity of business processes is a continually growing problem in real-life organisations. Hence, modelling a workflow poses a challenge for different participants. Many methods have been proposed for automatic generation of process models. This paper aims at presenting an approach for uniting knowledge from a number of stakeholders. In essence, a collection of tabular tasks definitions are combined into one classification of unordered activities. Later, semantic analysis of the input definitions is suggested in order to fuse them based on similarity of parameters. Using a set of predefined constraints and a dedicated construction algorithm, the resulting spreadsheet-based structure can then be converted into a model of a process.
- Record ID
- CUT595cf92b217c44fe92e9e888687567c0
- Publication categories
- ; ;
- Author
- Pages
- 1-16
- Other elements of collation
- Bibliografia (liczba pozycji) - 42; Oznaczenie streszczenia - Abstr.
- Substantive notes
- Punktacja MNiSW/MEiN (rozdział) - 20
- Book
- Owoc Mieczysław Lech, Mieczysław Lech Owoc Pondel Maciej Maciej Pondel (eds.): Artificial Intelligence for Knowledge Management : 7th IFIP WG 12.6 International Workshop, AI4KM 2019 held at IJCAI 2019, Macao, China, August 11, 2019 : revised selected papers, IFIP Advances in Information and Communication Technology, no. 599, 2021, Cham, Springer, Springer, ISBN 978-3-030-85001-2 (online)
- Keywords in English
- BPMN, Business Process Management, semantic-based
- DOI
- DOI:10.1007/978-3-030-85001-2_1 Opening in a new tab
- URL
- https://link.springer.com/chapter/10.1007/978-3-030-85001-2_1 Opening in a new tab
- Language
- eng (en) English
- Score (nominal)
- 200
- Additional fields
- Indeksowana w: Scopus, CORE
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT595cf92b217c44fe92e9e888687567c0/
- URN
urn:pkr-prod:CUT595cf92b217c44fe92e9e888687567c0
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.