CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
Deriving a large scale taxonomy from Wikipedia
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Open information extraction from the web
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
DBpedia - A crystallization point for the Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
Towards a universal wordnet by learning from combined evidence
Proceedings of the 18th ACM conference on Information and knowledge management
DBpedia: a nucleus for a web of open data
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Robust disambiguation of named entities in text
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Collaboratively built semi-structured content and Artificial Intelligence: The story so far
Artificial Intelligence
YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia
Artificial Intelligence
Inside YAGO2s: a transparent information extraction architecture
Proceedings of the 22nd international conference on World Wide Web companion
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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.