From Genesis to Maturity: Managing Knowledge Graph Ecosystems Through Life Cycles
Proceedings of the VLDB Endowment, vol. 18, pp. 1390–1397
Abstract
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.
Authors 11
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Sandra Geisler Aachen
Affiliation as printed
RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Politecnico di Milano, Milan, Italy
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Affiliation as printed
CEFRIEL, Milan, Italy
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Universidade de Santiago de Compostela
Affiliation as printed
Universidade de Santiago de Compostela, Santiago de Compostela, Spain
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Affiliation as printed
KU Leuven, Leuven, Belgium
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Universidad Politécnica de Madrid
Affiliation as printed
Universidad Politécnica de Madrid, Madrid, Spain
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Affiliation as printed
Sapienza University of Rome, Rome, Italy
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Affiliation as printed
University of Brescia, Brescia, Italy
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Affiliation as printed
IDLab, Ghent University - imec, Ghent, Belgium
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Sascha Welten Aachen
Affiliation as printed
RWTH Aachen University, Aachen, Germany
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Leibniz University Hannover · Technische Informationsbibliothek (TIB) · L3S Research Center
Affiliation as printed
TIB Hannover, L3S Research Center, Leibniz University Hannover, Hannover, Germany
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