Difference between revisions of "Yago2: a Spatially and Temporally Enhanced Knowledge Base from Wikipedia"
(Creating a new page - Yago2: a Spatially and Temporally Enhanced Knowledge Base from Wikipedia) |
(Links) |
||
| Line 1: | Line 1: | ||
| − | '''Yago2: a Spatially and Temporally Enhanced Knowledge Base from Wikipedia''' - scientific work related to Wikipedia quality published in 2013, written by Johannes Hoffart, Fabian M. Suchanek, Klaus Berberich and Gerhard Weikum. | + | '''Yago2: a Spatially and Temporally Enhanced Knowledge Base from Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2013, written by [[Johannes Hoffart]], [[Fabian M. Suchanek]], [[Klaus Berberich]] and [[Gerhard Weikum]]. |
== Overview == | == Overview == | ||
| − | Authors 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, authors present the extraction methodology, the integration of the spatio-temporal dimension, and knowledge representation SPOTL, an extension of the original SPO-triple model to time and space. | + | Authors 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, authors present the extraction methodology, the integration of the spatio-temporal dimension, and knowledge representation SPOTL, an extension of the original SPO-triple model to time and space. |
Revision as of 14:16, 24 July 2019
Yago2: a Spatially and Temporally Enhanced Knowledge Base from Wikipedia - scientific work related to Wikipedia quality published in 2013, written by Johannes Hoffart, Fabian M. Suchanek, Klaus Berberich and Gerhard Weikum.
Overview
Authors 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, authors present the extraction methodology, the integration of the spatio-temporal dimension, and knowledge representation SPOTL, an extension of the original SPO-triple model to time and space.
