YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia
YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia
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DOI：
10.1016/j.artint.2012.06.001
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发表时间：
2013-01-01
影响因子：
14.4
通讯作者：
Weikum, Gerhard
中科院分区：
文献类型：
--
作者：
Hoffart, Johannes;Suchanek, Fabian M.;Weikum, Gerhard
我们介绍了Yago2，这是Yago知识库的扩展，其中实体，事实和事件都固定在时空和空间中。 Yago2是由Wikipedia，Geonames和WordNet自动构建的。它包含4.47亿个事实，约为980万个实体。人类评估证实了Yago2中95％的事实的准确性。在本文中，我们介绍了提取方法，时空维度的集成以及我们的知识表示斑点，这是原始SPO-Triple模型的扩展到时空。 （c）2012 Elsevier B.V.保留所有权利。
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, the integration of the spatio-temporal dimension, and our knowledge representation SPOTL, an extension of the original SPO-triple model to time and space. (C) 2012 Elsevier B.V. All rights reserved.