RT Journal Article
T1 From Genesis to Maturity: Managing Knowledge Graph Ecosystems Through Life Cycles
A1 Geisler, Sandra
A1 Cappiello, Cinzia
A1 Celino, Irene
A1 Chaves Fraga, David
A1 Dimou, Anastasia
A1 Iglesias-Molina, Ana
A1 Lenzerini, Maurizio
A1 Rula, Anisa
A1 Van Assche, Dylan
A1 Welten, Sascha
A1 Vidal, Maria-Esther
AB Knowledge graphs (KGs) play a crucial role in the integration and organization of heterogeneous data and knowledge, enabling advanced data analytics and decision-making across various industries. This vision paper addresses critical challenges in managing KGs, emphasizing their relevance in integrating information from disparate sources. We propose the concept of knowledge graph ecosystems and life cycles to systematically manage tasks, e.g., dataintegration, standardization, continuous updates, efficient querying, and provenance tracking. By adopting our approach, organizations can enhance the accuracy, consistency, and reliability of KGs, thus improving knowledge management, enabling the extraction of valuable insights, and ensuring transparency and accountability.
PB VLDB Endowment
SN 2150-8097
YR 2025
FD 2025
LK https://hdl.handle.net/10347/41016
UL https://hdl.handle.net/10347/41016
LA eng
NO The authors thank the Dagstuhl team for hosting Seminar 24061 in February 2024,where the initial ideas for this article were developed. This work has been funded by: champI4.0ns (grant 01MJ22011B- BMWK), PNRR Project FAIR (grant: PE0000013- MUR), PERKS (grant: 101120323- Horizon Europe), REOPEN (PID2023-149549NBI00- AEI-Spain), ED431G 2023/04, ED431C 2022/19- Xunta-CE, PRIN 2022 (grant: NEXTCART 2022YXXZH5- MUR), Flanders Make,UGentSpecial Research Fund(grant: BOF20/DOC/132-BOF), TrustKG (grant P99/2020 Leibniz Association).
DS Minerva
RD 24 abr 2026