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Schema-agnostic SPARQL-driven faceted search benchmark generation

, , , , и . Journal of Web Semantics, (2020)
DOI: https://doi.org/10.1016/j.websem.2020.100614

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Jens Lehmann

Jens Lehmann

Jens Lehmann

Jens Lehmann

Jens Lehmann

 

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Proceedings of the Second International Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data (KNOW@LOD 2013), , , , и . CEUR-WS.org, (2013)Meta-hyperband: Hyperparameter Optimization with Meta-learning and Coarse-to-Fine., , , и . IDEAL (2), том 12490 из Lecture Notes in Computer Science, стр. 335-347. Springer, (2020)Let the Margin SlidE± for Knowledge Graph Embeddings via a Correntropy Objective Function., , , , , и . IJCNN, стр. 1-9. IEEE, (2020)The KEEN Universe, , , и . International Semantic Web Conference, стр. 3--18. Springer, (2019)SML-Bench – A Benchmarking Framework for Structured Machine Learning, , , , и . Semantic Web Journal, (2018)Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on the Web, , , и . Proceedings of the First Workshop on Fact Extraction and VERification (FEVER), стр. 50--59. (2018)SPIRIT: A Semantic Transparency and Compliance Stack, , , и . Semantics 2018 Poster and Demos, (2018)Making the Web a Data Washing Machine---Creating Knowledge out of Interlinked Data, и . Semantic Web Journal, (2010)Towards SPARQL-Based Induction for Large-Scale RDF Data sets, , , и . ECAI 2016 - Proceedings of the 22nd European Conference on Artificial Intelligence, том 285 из Frontiers in Artificial Intelligence and Applications, стр. 1551--1552. IOS Press, (2016)kOre: Using Linked Data for OpenScience Information Integration, , , и . SEMANTiCS 2015, (2015)