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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References

SHOWING 1-10 OF 55 REFERENCES

DBpedia Live Extraction

DBpedia is extended with a live extraction framework, which is capable of processing tens of thousands of changes per day in order to consume the constant stream of Wikipedia updates and allows direct modifications of the knowledge base and closer interaction of users with DBpedia.

DBpedia - A crystallization point for the Web of Data

DBpedia and the live extraction of structured data from Wikipedia

DBpedia‐Live publishes the newly added/deleted triples in files, in order to enable synchronization between the DBpedia endpoint and other DBpedia mirrors.

Cross-lingual knowledge linking across wiki knowledge bases

The problem of cross-lingual knowledge linking is studied and a linkage factor graph model is presented, showing that this approach can achieve a high precision of 85.8% with a recall of 88.1%.

Automatically refining the wikipedia infobox ontology

KOG, an autonomous system for refining Wikipedia's infobox-class ontology, is introduced, using both SVMs and a more powerful joint-inference approach expressed in Markov Logic Networks to build a rich ontology.

Wikipedia Mining Wikipedia as a Corpus for Knowledge Extraction

A comprehensive, panoramic view of Wikipedia as a Web corpus is taken since almost all previous researches are just exploiting parts of the Wikipedia characteristics.

Multipedia: enriching DBpedia with multimedia information

This paper addresses the problem of how to enrich ontology instances with candidate images retrieved from existing Web search engines by tapping into the Wikipedia corpus to gather context information for DBpedia instances and takes advantage of image tagging information when this is available to calculate semantic relatedness between instances and candidate images.

Overview of the TAC 2010 Knowledge Base Population Track

An overview of the task definition and annotation challenges associated with KBP2010 is provided and the evaluation results and lessons that are learned are discussed based on detailed analysis.

Extracting Lexical Semantic Knowledge from Wikipedia and Wiktionary

This paper presents two application programming interfaces for Wikipedia and Wiktionary which are especially designed for mining the rich lexical semantic information dispersed in the knowledge bases, and provide efficient and structured access to the available knowledge.

Experiments with Wikipedia Cross-Language Data Fusion

A software framework for fusing RDF datasets based on different conflict resolution strategies is presented and the framework to fuse infobox data that has been extracted from the English, German, Italian and French editions of Wikipedia is applied.
...