ML Anthology

YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia: Extended Abstract

Johannes Hoffart, Fabian M. Suchanek, Klaus Berberich, Gerhard Weikum
IJCAI 2013 pp. 3161-3165
/ijcai/2013/hoffart2013ijcai-yago/

Abstract

We present YAGO2, an extension of the YAGO knowledge base, in which entities, facts, and events are anchored in both time and space. YAGO2 is built automatically from Wikipedia, GeoNames, and WordNet. It contains 447 million facts about 9.8 million entities. Human evaluation confirmed an accuracy of 95% of the facts in YAGO2. In this paper, we present the extraction methodology and the integration of the spatio-temporal dimension.

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Cite

Text

Hoffart et al. "YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia: Extended Abstract." International Joint Conference on Artificial Intelligence, 2013.

Markdown

[Hoffart et al. "YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia: Extended Abstract." International Joint Conference on Artificial Intelligence, 2013.](https://mlanthology.org/ijcai/2013/hoffart2013ijcai-yago/)

BibTeX

@inproceedings{hoffart2013ijcai-yago,
  title     = {{YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia: Extended Abstract}},
  author    = {Hoffart, Johannes and Suchanek, Fabian M. and Berberich, Klaus and Weikum, Gerhard},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2013},
  pages     = {3161-3165},
  url       = {https://mlanthology.org/ijcai/2013/hoffart2013ijcai-yago/}
}