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    AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
    Suchanek, F.M., Kasneci, G. & Weikum, G. YAGO: a core of semantic knowledge 2007 Proceedings of the 16th international conference on World Wide Web, pp. 697-706  inproceedings DOI URL 
    Abstract: We present YAGO, a light-weight and extensible ontology with high coverage and quality. YAGO builds on entities and relations and currently contains more than 1 million entities and 5 million facts. This includes the Is-A hierarchy as well as non-taxonomic relations between entities (such as HASONEPRIZE). The facts have been automatically extracted from Wikipedia and unified with WordNet, using a carefully designed combination of rule-based and heuristic methods described in this paper. The resulting knowledge base is a major step beyond WordNet: in <i>quality</i> by adding knowledge about individuals like persons, organizations, products, etc. with their semantic relationships - and in <i>quantity</i> by increasing the number of facts by more than an order of magnitude. Our empirical evaluation of fact correctness shows an accuracy of about 95%. YAGO is based on a logically clean model, which is decidable, extensible, and compatible with RDFS. Finally, we show how YAGO can be further extended by state-of-the-art information extraction techniques.
    BibTeX:
    @inproceedings{suchanek2007semantic,
      author = {Suchanek, Fabian M. and Kasneci, Gjergji and Weikum, Gerhard},
      title = {YAGO: a core of semantic knowledge},
      booktitle = {Proceedings of the 16th international conference on World Wide Web},
      publisher = {ACM},
      year = {2007},
      pages = {697--706},
      url = {http://doi.acm.org/10.1145/1242572.1242667},
      doi = {http://dx.doi.org/10.1145/1242572.1242667}
    }
    

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