From Genesis to Maturity: Managing Knowledge Graph Ecosystems Through Life Cycles
Uložené v:
| Názov: | From Genesis to Maturity: Managing Knowledge Graph Ecosystems Through Life Cycles |
|---|---|
| Autori: | Geisler, Sandra, CAPPIELLO, CINZIA, Celino, Irene, Chaves-Fraga, David, Dimou, Anastasia, Iglesias-Molina, Ana, Lenzerini, Maurizio, Rula, Anisa, Van Assche, Dylan, Welten, Sascha, Vidal, Maria-Esther |
| Prispievatelia: | Universidade de Santiago de Compostela. Departamento de Electrónica e Computación |
| Zdroj: | Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela Universidad de Santiago de Compostela (USC) PROCEEDINGS OF THE VLDB ENDOWMENT |
| Informácie o vydavateľovi: | Association for Computing Machinery (ACM), 2025. |
| Rok vydania: | 2025 |
| Predmety: | Technology and Engineering, 4605 Data management and data science, 0806 Information Systems, 0807 Library and Information Studies, 0802 Computation Theory and Mathematics |
| Popis: | 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., data integration, 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. |
| Druh dokumentu: | Article Presentation Conference object |
| Popis súboru: | application/pdf |
| Jazyk: | English |
| ISSN: | 2150-8097 |
| DOI: | 10.14778/3718057.3718067 |
| DOI: | 10.5281/zenodo.17064352 |
| DOI: | 10.5281/zenodo.17064350 |
| Prístupová URL adresa: | https://hdl.handle.net/10347/41016 https://lirias.kuleuven.be/handle/20.500.12942/762694 https://biblio.ugent.be/publication/01JTN64J19HZ3E7R4MD4WNQ6FG/file/01JTN6785KSGF83SSFGMFE885J https://biblio.ugent.be/publication/01JTN64J19HZ3E7R4MD4WNQ6FG http://hdl.handle.net/1854/LU-01JTN64J19HZ3E7R4MD4WNQ6FG http://doi.org/10.14778/3718057.3718067 |
| Rights: | CC BY CC BY NC ND |
| Prístupové číslo: | edsair.doi.dedup.....a558b1dec851672ce13b63fa40c2c683 |
| Databáza: | OpenAIRE |
Full Text Finder 
Nájsť tento článok vo Web of Science | Abstrakt: | 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., data integration, 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. |
|---|---|
| ISSN: | 21508097 |
| DOI: | 10.14778/3718057.3718067 |