From Genesis to Maturity: Managing Knowledge Graph Ecosystems Through Life Cycles
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.
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Publicación: Congreso
1744713311577
15 de abril de 2025
/research/publications/from-genesis-to-maturity-managing-knowledge-graph-ecosystems-through-life-cycles
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. - Sandra Geisler, Cinzia Cappiello, Irene Celino, David Chaves-Fraga, Anastasia Dimou, Ana Iglesias-Molina, Maurizio Lenzerini, Anisa Rula, Dylan Van Assche, Sascha Welten, Maria-Esther Vidall - 10.14778/3718057.3718067
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