[PDF] DBpedia Abstracts: A Large-Scale, Open, Multilingual NLP Training
such data, but on a limited scale This paper introduces the DBpedia Abstract Corpus, a large-scale, open corpus of annotated Wikipedia texts in six languages ,
[PDF] Querying large-scale RDF datasets using the SANSA - Gezim Sejdiu
Spark for querying the DBpedia knowledge base This work is motivated by the lack of Big Data SPARQL systems that are capable of exposing large-scale
[PDF] Large Scale Semantic Integration of Linked Data: A - ICS-FORTH
Moreover, [133] compares novel SPARQL endpoint federation engines in many dimensions and details the tools that have been created for this speci c method of
[PDF] UNIVERSITÉ DE MONTRÉAL ÉVALUATION ET AMÉLIORATION
Lehmann et al , « DBpedia–a large-scale, multilingual knowledge base extracted from Wikipedia », Semantic Web, vol 6, no 2, p 167‑195, 2015 [37] F M
[PDF] Mining Meaning From Wikipedia: Yago – DBPedia - EMLR
Wikipedia: Yago – DBPedia - EMLR DBPedia – a further large scale knowledge The DBpedia project uses the Resource Description Framework (RDF)
[PDF] DBpedia Entity Type Inference Using Categories - CEUR-WSorg
DBpedia is a large-scale, multilingual knowledge base extracted from Wikipedia In DBpedia, some entities have type information, e g “?s rdf:type dbo:
[PDF] LC-QuAD 20: A Large Dataset for Complex - Jens Lehmann
2 0 (Large-Scale Complex Question Answering Dataset) with 30,000 questions, their paraphrases and their corresponding SPARQL queries LC-QuAD 2 0 is
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