Using Knowledge Graphs to Detect Enterprise Architecture Smells
dc.contributor.author | Hacks, Simon | |
dc.contributor.author | Smajevic, Muhamed | |
dc.contributor.author | Bork, Dominik | |
dc.contributor.editor | Leopold, Henrik | |
dc.contributor.editor | Proper, Henderik A. | |
dc.date.accessioned | 2023-02-14T05:26:09Z | |
dc.date.available | 2023-02-14T05:26:09Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/40217 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | EMISA 2022 | |
dc.subject | Enterprise Architecture | |
dc.subject | Model Transformation | |
dc.subject | ArchiMate | |
dc.subject | Knowledge Graph | |
dc.subject | Analysis | |
dc.title | Using Knowledge Graphs to Detect Enterprise Architecture Smells | en |
dc.type | Text/Conference Abstract | |
gi.citation.publisherPlace | Bonn | |
gi.conference.date | 2nd and 3rd of June, 2022 | |
gi.conference.location | Belval, Luxembourg |
Dateien
Originalbündel
1 - 1 von 1
Vorschaubild nicht verfügbar
- Name:
- EMISA2022-05.pdf
- Größe:
- 234.33 KB
- Format:
- Adobe Portable Document Format