Datensatz Zitierlink: 
http://hdl.handle.net/20.500.12708/188264
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Titel: 
Exploring Enterprise Architecture Knowledge Graphs in Archi: The EAKG Toolkit
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Zitat: 
Glaser, P.-L., Ali, S. J., Sallinger, E., & Bork, D. (2023). Exploring Enterprise Architecture Knowledge Graphs in Archi: The EAKG Toolkit. In Conference Proceedings: Enterprise Design, Operations, and Computing. EDOC 2022 Workshops (pp. 332–338). Springer. https://doi.org/10.1007/978-3-031-26886-1_21
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Verlags-DOI: 
10.1007/978-3-031-26886-1_21
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Publikationstyp: 
Konferenzbeitrag - Poster Contribution
de
Sprache: 
Englisch
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Autor_innen: 
Glaser, Philipp-Lorenz 
Ali, Syed Juned 
Sallinger, Emanuel 
Bork, Dominik 
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Organisations­einheit: 
E194-03 - Forschungsbereich Business Informatics 
E194 - Institut für Information Systems Engineering 
E192 - Institut für Logic and Computation 
E192-02 - Forschungsbereich Databases and Artificial Intelligence 
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Erschienen in: 
Conference Proceedings: Enterprise Design, Operations, and Computing. EDOC 2022 Workshops 
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ISBN: 
978-3-031-26886-1
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Band: 
466
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DOI des Buches: 
10.1007/978-3-031-26886-1
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Datum (veröffentlicht): 
2023
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Veranstaltungs­name: 
Enterprise Design, Operations, and Computing. EDOC 2022 Workshops 
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Veranstaltungs­zeitraum: 
4-Okt-2022 - 7-Okt-2022
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Veranstaltungs­ort: 
Bozen-Bolzano, Italien
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Umfang: 
7
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Verlag: 
Springer, Cham
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Keywords: 
Archi; ArchiMate; Enterprise architecture; Knowledge graph; Modeling tool
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Abstract: 
This paper presents the EAKG Toolkit that entails a new Knowledge Graph-based representation of enterprise architecture (EA) models and further enables reasoning on EA knowledge. Our developed EAKG Toolkit is unique in the sense that it i) transforms ArchiMate models into a KG representation – the Enterprise Architecture Knowledge Graph (EAKG), ii) visualizes the EAKG for interactive exploration, and iii) extends the EAKG with additional nodes and edges to visually represent detected EA smells.
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Forschungs­infrastruktur: 
Pilotfabrik 
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Projekttitel: 
MFP 4.2 Advanced Analytics for Smart Manufacturing: 854187 (CDP Center for Digital Production G) 
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Projekt (extern): 
Erasmus+
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Projektnummer: 
2021-1-RO01-KA220- HED-000027576
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Forschungs­schwerpunkte: 
Information Systems Engineering: 100%
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Wissenschafts­zweig: 
1020 - Informatik: 90%
5020 - Wirtschaftswissenschaften: 10%
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Enthalten in den Sammlungen:
Conference Paper

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