dbpedia a large scale
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A Large-scale Multilingual Knowledge Base Extracted from Wikipedia
The DBpedia community project extracts structured multilingual knowledge from Wikipedia and makes it freely available using Semantic Web and Linked Data |
How large is DBpedia?
The largest DBpedia knowledge base which is extracted from the English edition of Wikipedia consists of over 400 million facts that describe 3.7 million things.
What is the difference between Wikipedia and DBpedia?
DBpedia (from "DB" for "database") is a project aiming to extract structured content from the information created in the Wikipedia project.
This structured information is made available on the World Wide Web using OpenLink Virtuoso.The DBpedia ontology is the heart of DBpedia.
Having started as a manually created ontology based on the most commonly used infoboxes within Wikipedia in 2008, it soon evolved into a successful crowd-sourcing effort resulting in a shallow cross-domain ontology.
Is DBpedia a knowledge base?
DBpedia: A Multilingual Cross-domain Knowledge Base
The DBpedia project extracts structured information from Wikipedia editions in 97 different languages and combines this information into a large multi-lingual knowledge base covering many specific domains and general world knowledge.
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DBpedia – A Large-scale Multilingual Knowledge Base Extracted
The DBpedia project builds a large-scale multilin- gual knowledge base by extracting structured data from. Wikipedia editions in 111 languages. |
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DBpedia - A Large-scale Multilingual Knowledge Base Extracted
The DBpedia extraction framework employs various extractors for translating different parts of Wikipedia pages to RDF statements. A list of all available extrac |
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DBpedia - A Large-scale Multilingual Knowledge Base Extracted
The DBpedia extraction framework employs various extractors for translating different parts of Wikipedia pages to RDF statements. A list of all available extrac |
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DBpedia – A Large-scale Multilingual Knowledge Base Extracted
The DBpedia project builds a large-scale multilin- gual knowledge base by extracting structured data from. Wikipedia editions in 111 languages. |
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DBpedia – A Large-scale Multilingual Knowledge Base Extracted
The DBpedia project builds a large-scale multilin- gual knowledge base by extracting structured data from. Wikipedia editions in 111 languages. |
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DBpedia – A large-scale multilingual knowledge base extracted
– The wide internationalisation of DBpedia. – A live synchronisation module which processes updates in Wikipedia as well as the DBpedia ontology and allows |
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Querying Large-scale RDF Datasets Using the SANSA Framework
In particular we demonstrate a W3C SPARQL endpoint pow- ered by our SANSA framework's RDF partitioning system and Apache. Spark for querying the DBpedia |
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Semantic Relation Composition in Large Scale Knowledge Bases
from other knowledge sources. The prefixes dbo refer to relation and concept namespace (http://dbpedia.org/ontology/) and db to instances/resources. (http |
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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 , |
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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 |
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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 |
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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 |
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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) |
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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: |
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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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