Scaling up knowledge graph creation to large and heterogeneous data sources

Author:

Iglesias Enrique,Jozashoori Samaneh,Vidal Maria-EstherORCID

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Human-Computer Interaction,Software

Reference57 articles.

1. Knowledge graphs;Gutiérrez;Commun. ACM,2021

2. R2RML: RDB to RDF mapping language, W3C recommendation 27 september 2012;Das;W3C,2012

3. Anastasia Dimou, Miel Vander Sande, Pieter Colpaert, Ruben Verborgh, Erik Mannens, Rik Van de Walle, RML: A generic language for integrated RDF mappings of heterogeneous data, in: Proceedings of the Workshop on Linked Data on the Web Co-Located with WWW, 2014.

4. Drugs4covid: Drug-driven knowledge exploitation based on scientific publications;Badenes-Olmedo,2020

5. Responsible knowledge management in energy data ecosystems;Janev;Energies,2022

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1. Multi-scale Heterogeneous Graph Contrastive Learning*;2023 IEEE International Conference on Big Data (BigData);2023-12-15

2. Knowledge graph completion method for hydraulic engineering coupled with spatial transformation and an attention mechanism;Mathematical Biosciences and Engineering;2023

3. Challenges for Healthcare Data Analytics Over Knowledge Graphs;Transactions on Large-Scale Data- and Knowledge-Centered Systems LIV;2023

4. Customer transactional behaviour analysis through embedding interpretation;Procedia Computer Science;2022

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