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ORCIDSBD@SIGMOD 2020: Portland, Oregon, USA
- Sven Groppe, Le Gruenwald, Valentina Presutti:
Proceedings of The International Workshop on Semantic Big Data, SBD@SIGMOD 2020, Portland, Oregon, USA, June 19, 2020. ACM 2020, ISBN 978-1-4503-7974-8 - Mohamed Ragab
, Riccardo Tommasini, Sadiq Eyvazov, Sherif Sakr:
Towards making sense of Spark-SQL performance for processing vast distributed RDF datasets. 1:1-1:6 - Daniel Janke, Steffen Staab, Martin Leinberger:
Data placement strategies that speed-up distributed graph query processing. 2:1-2:6 - Hubert Naacke, Olivier Curé:
Triag, a framework based on triangles of RDF triples. 3:1-3:6 - Alessandro Adamou, Mathieu d'Aquin:
Relaxing global-as-view in mediated data integration from linked data. 4:1-4:6 - Prashanti Manda, Saed SayedAhmed, Somya D. Mohanty:
Automated ontology-based annotation of scientific literature using deep learning. 5:1-5:6 - Amal Zouaq, Félix Martel:
What is the schema of your knowledge graph?: leveraging knowledge graph embeddings and clustering for expressive taxonomy learning. 6:1-6:6 - Stefan Böttcher, Rita Hartel, Sven Peeters:
QSGG: query simulation in grammar-compressed graphs. 7:1-7:6 - Tatiana N. Erekhinskaya, Dmitriy Strebkov, Sujal Patel, Mithun Balakrishna, Marta Tatu, Dan I. Moldovan:
Ten ways of leveraging ontologies for natural language processing and its enterprise applications. 8:1-8:6 - Vatricia Edgar, Cecilia La Place, Julia Schmidt, Ajay Bansal, Srividya Kona Bansal:
SustainOnt: an ontology for defining an index of neighborhood sustainability across domains. 9:1-9:6
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