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SPARTAN: Semantic integration of big spatio-temporal data from streaming and archival sources.

, , , , , , , и . Future Gener. Comput. Syst., (2020)

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Georgios Zountsas

Georgios Koumakis

Georgios Grigoriou

Georgios Papailiou

Georgios Zafirakis

 

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The datAcron Ontology for Semantic Trajectories., , , , и . ESWC (Satellite Events), том 10577 из Lecture Notes in Computer Science, стр. 26-30. Springer, (2017)RDF-Gen: Generating RDF from Streaming and Archival Data., , , и . WIMS, стр. 28:1-28:10. ACM, (2018)Ontology-based data sources' integration for maritime event recognition., , и . IISA, стр. 1-6. IEEE, (2015)FAIMUSS: Flexible Data Transformation to RDF from Multiple Streaming Sources., , , , , и . EDBT, стр. 662-665. OpenProceedings.org, (2018)Taming Big Maritime Data to Support Analytics., , , и . IF&GIS, стр. 15-27. Springer, (2017)RDF-Gen: generating RDF triples from big data sources., , , , , и . Knowl. Inf. Syst., 64 (11): 2985-3015 (2022)Coronis: Towards Integrated and Open COVID-19 Data., , и . EDBT, стр. 686-689. OpenProceedings.org, (2021)Ontology-Based Data Integration for Event Recognition in the Maritime Domain., , и . WIMS, стр. 6:1-6:11. ACM, (2015)Integrating Data by Discovering Topological and Proximity Relations Among Spatiotemporal Entities., , , и . Big Data Analytics for Time-Critical Mobility Forecasting, Springer, (2020)An RDF Benchmark for Enriched Maritime Data., и . EMODE@SIGSPATIAL, стр. 1-10. ACM, (2023)