From Genesis to Maturity: Managing Knowledge Graph Ecosystems Through Life Cycles
Summary: Introduces knowledge-graph ecosystems and life‑cycles as a unifying framework to systematically manage KG tasks—ingestion, integration, curation, continuous updates, efficient querying, and provenance—across heterogeneous sources. Advocates lifecycle-aware tooling and governance to improve accuracy, consistency, reliability and transparency of evolving KGs for enterprise analytics and decision-making. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Sandra Geisler
- 2. Cinzia Cappiello
- 3. Irene Celino
- 4. David Chaves-Fraga
- 5. Anastasia Dimou
- 6. Ana Iglesias-Molina
- 7. Maurizio Lenzerini
- 8. Anisa Rula
- 9. Dylan Van Assche
- 10. Sascha Welten
- 11. Maria-Esther Vidal
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