Szczegóły publikacji
Opis bibliograficzny
Using a semantic-based support system for merging knowledge from process participants / Krzysztof KLUZA, Mateusz Kagan, Piotr WIŚNIEWSKI, Weronika T. ADRIAN, Paweł JEMIOŁO, Anna Suchenia, Antoni LIGĘZA // W: 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 / eds. Mieczysław Lech Owoc, Maciej Pondel. — Cham ; [Laxenburg] : Springer Nature Switzerland ; [International Federation for Information Processing], cop. 2021. — (IFIP Advances in Information and Communication Technology ; ISSN 1868-4238 ; vol. 599). — ISBN: 978-3-030-85000-5; e-ISBN: 978-3-030-85001-2. — S. 1–16. — Bibliogr., Abstr. — Publikacja dostępna online od: 2021-08-06
Autorzy (7)
Dane bibliometryczne
ID BaDAP | 138804 |
---|---|
Data dodania do BaDAP | 2022-01-17 |
DOI | 10.1007/978-3-030-85001-2_1 |
Rok publikacji | 2021 |
Typ publikacji | materiały konferencyjne (aut.) |
Otwarty dostęp | |
Wydawca | Springer |
Czasopismo/seria | IFIP Advances in Information and Communication Technology |
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.