DBpedia - A large-scale, multilingual knowledge base extracted from Wikipedia

@article{Lehmann2015DBpediaA,
  title={DBpedia - A large-scale, multilingual knowledge base extracted from Wikipedia},
  author={Jens Lehmann and Robert Isele and Max Jakob and Anja Jentzsch and Dimitris Kontokostas and Pablo N. Mendes and Sebastian Hellmann and Mohamed Morsey and Patrick van Kleef and S. Auer and Christian Bizer},
  journal={Semantic Web},
  year={2015},
  volume={6},
  pages={167-195}
}
The DBpedia community project extracts structured, multilingual knowledge from Wikipedia and makes it freely available on the Web using Semantic Web and Linked Data technologies. The project extracts knowledge from 111 different language editions of Wikipedia. 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. The DBpedia knowledge bases that are extracted from the other 110 Wikipedia… 
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TLDR
The objective of this thesis is to define a methodology to increase the coverage of DBpedia in different languages, using various techniques to reach two different goals: automatic mapping and DBpedia dataset completion.
Entity Extraction from Wikipedia List Pages
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A collaborative recommender system approach named BlueFinder is presented, to enhance Wikipedia content with DBpedia properties, which assists Wikipedia contributors to add missing relations between articles, and consequently, it improves Wikipedia content.
Identifying Global Common Concepts of DBpedia Ontology to Enhance Multilingual Ontologized Space Expansion
The amount of data on the Web has recently increased, accompanied by a paradigm shift from the publishing of isolated data to the publishing of interlinked data. Linked Open Data (LOD) provides…
A Novel Method to Predict Type for DBpedia Entity
TLDR
This paper proposes a method to predict the entity type based on a novel conformity measure and evaluates the method based on database extracted from aggregating multilingual resources and compares it with human perception in predicting type for an entity.
Towards Updating Wikipedia via DBpedia Mappings, SPARQL
TLDR
The declarative WikiDBpedia framework (WDF) is defined as a pair (M, T ) where M is a schema mapping between the structured Wiki data and DBpedia, and T is a DBpedia TBox, and the language used to formalize the TBox is the tgds language of Σ and the Wiki schema W.
Updating Wikipedia via DBpedia Mappings and SPARQL
TLDR
This paper provides a formalization of DBpedia as an Ontology-Based Data Management framework and study its computational properties, and provides a novel approach to the inherently intractable update translation problem, leveraging the pre-existent data for disambiguating updates.
Improving wikipedia-based place name disambiguation in short texts using structured data from DBpedia
TLDR
This paper presents an approach for combining Wikipedia and DBpedia to disambiguate place names in short texts, and argues that a combination of both performs better than each of them alone.
Extending DBpedia with List Structures in Wikipedia Articles
Ontologies are the basis of the Semantic Web. Owing to the cost of their construction and maintenance, however, there is much interest in automating their construction. Wikipedia is considered a…
An Approach for Improving DBpedia as a Research Data Hub
TLDR
The proposal aims at consolidating DBpedia as a reference hub for research data, so that research from any area supported by the Semantic Web data can use its data reliably.
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References

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TLDR
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