sBPMN: A framework for capturing business process semantics in dynamic knowledge graphs

Preview

PDF
3731443.3771361.pdf - Published
Download (978kB)

DOI:	https://doi.org/10.1145/3731443.3771361
URL:	https://dl.acm.org/doi/10.1145/3731443.3771361
URN:	urn:nbn:de:bsz:180-madoc-714000
Document Type:	Conference or workshop publication
Year of publication:	2025
Book title:	K-CAP '25: Proceedings of the 13th Knowledge Capture Conference 2025
Page range:	156-164
Conference title:	K-CAP '25: Knowledge Capture Conference 2025
Location of the conference venue:	Dayton, OH
Date of the conference:	10.-12.12.2025
Publisher:	Shimizu, Cogan ; Ferrada, Sebastián ; Kagal, Lalana
Place of publication:	New York, NY
Publishing house:	Association for Computing Machinery
ISBN:	979-8-4007-1867-0
Related URLs:	https://www.k-cap.org/2025/
Publication language:	English
Institution:	School of Business Informatics and Mathematics > Data Science (Paulheim 2018-)
Pre-existing license:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject:	004 Computer science, internet
Keywords (English):	business process modeling , knowledge graphs , ontologies , knowledge capture, data integration , semantic web , human-AI teaming

	Dieser Eintrag ist Teil der Universitätsbibliographie.
	Das Dokument wird vom Publikationsserver der Universitätsbibliothek Mannheim bereitgestellt.

BASE: Krause, Franz ; Paulheim, Heiko ; Vázquez, Amparo ; Espert, Alejandro

Google Scholar: Krause, Franz ; Paulheim, Heiko ; Vázquez, Amparo ; Espert, Alejandro

ORCID: Krause, Franz ; Paulheim, Heiko

; Vázquez, Amparo ; Espert, Alejandro

Downloads per month over past year

You have found an error? Please let us know about your desired correction here: E-Mail

Show item