YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia
| Venue: | Commun. ACM |
| Citations: | 6 - 2 self |
BibTeX
@ARTICLE{Hoffart_yago2:a,
author = {Johannes Hoffart and Fabian M and Suchanek Klaus Berberich and Gerhard Weikum and Johannes Hoffart and Klaus Berberich and Gerhard Weikum and Fabian M. Suchanek and Inria Saclay},
title = {YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia},
journal = {Commun. ACM},
year = {},
pages = {2009}
}
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Abstract
We are grateful for input from various people’s work: Edwin Lewis-Kelham for implementing the YAGO2 user interface, Gerard de Melo for his help on integrating his Universal WordNet, and Erdal Kuzey for his work on named events and time facts in Wikipedia. We would also like to thank the people who helped evaluate the quality of YAGO2 by manual assessment, most notably, Ndapandula Nakashole, Stephan Seufert, Erdal Kuzey, and 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 80 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, the integration of the spatio-temporal dimension, and our knowledge representation SPOTL, an extension of the original SPO-triple
