{"type":"ScholarlyArticle","title":"YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia: Extended Abstract","authors":[{"name":"Johannes Hoffart","slug":"johannes-hoffart","given":"Johannes","family":"Hoffart","affiliation":""},{"name":"Fabian M. Suchanek","slug":"fabian-m-suchanek","given":"Fabian M.","family":"Suchanek","affiliation":""},{"name":"Klaus Berberich","slug":"klaus-berberich","given":"Klaus","family":"Berberich","affiliation":""},{"name":"Gerhard Weikum","slug":"gerhard-weikum","given":"Gerhard","family":"Weikum","affiliation":""}],"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.","doi":null,"url":"https://ijcai.org/proceedings/2013/478","pdf":"https://ijcai.org/proceedings/2013/0478.pdf","markdown":"https://ijcai.org/proceedings/2013/478.md","bibtex":"https://ijcai.org/proceedings/2013/bibtex/478","volume":{"slug":"2013","title":"Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2013","url":"https://ijcai.org/proceedings/2013/","year":2013,"location":"Beijing, China","dates":"3–9 August 2013","editors":"Francesca Rossi","isbn":"978-1-57735-633-2","publisher":"AAAI Press / International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":478,"pages":{"first":3161,"last":3164},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}