YAGO Ontology
A YAGO Ontology is a lightweight open general ontology developed by a YAGO system.
- AKA: Yet Another Great Ontology.
- Context:
- It can (typically) contain YAGO Concepts, such as for Naive Bayes classifier[2].
- Example(s):
- YAGO 3.0.1[3].
- YAGO 2.5.
- YAGO 2.
- YAGO 1.
- …
- Counter-Example(s):
- See: GeoNames, Creative Commons.
References
2015
- (Wikipedia, 2015) ⇒ http://en.wikipedia.org/wiki/YAGO_(database) Retrieved:2015-10-11.
- YAGO (Yet Another Great Ontology) is a knowledge base developed at the Max Planck Institute for Computer Science in Saarbrücken. It is automatically extracted from Wikipedia and other sources.
As of 2012, YAGO2s has knowledge of more than 10 million entities and contains more than 120 million facts about these entities. The information in YAGO is extracted from Wikipedia (e.g., categories, redirects, infoboxes), WordNet (e.g., synsets, hyponymy), and GeoNames. [1] The accuracy of YAGO was manually evaluated to be above 95% on a sample of facts. To integrate it to the linked data cloud, YAGO has been linked to the DBpedia ontology and to the SUMO ontology. YAGO2s is provided in Turtle and tsv formats. Dumps of the whole database are available, as well as thematic and specialized dumps. It can also be queried through various online browsers [4] and through a SPARQL endpoint hosted by OpenLink Software. YAGO has been used in the Watson artificial intelligence system. [2]
- YAGO (Yet Another Great Ontology) is a knowledge base developed at the Max Planck Institute for Computer Science in Saarbrücken. It is automatically extracted from Wikipedia and other sources.
- ↑ Fabian M. Suchanek, Gjergji Kasneci and Gerhard Weikum. "Yago - A Core of Semantic Knowledge". 16th international World Wide Web conference (WWW 2007) [1]
- ↑ David Ferrucci, Eric Brown, Jennifer Chu-Carroll, James Fan, David Gondek, Aditya A. Kalyanpur, Adam Lally, J. William Murdock, Eric Nyberg, John Prager, Nico Schlaefer, Chris Welty. Building Watson: An Overview of the DeepQA Project. AI Magazine 31(3): 59-79 (2010)
2014
- http://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/yago-naga/yago/
- QUOTE: YAGO is a huge semantic knowledge base, derived from Wikipedia, WordNet, and GeoNames. Currently, YAGO has knowledge of more than 10 million entities (like persons, organizations, cities, etc.) and contains more than 120 million facts about these entities.
2008
- (Suchanek et al., 2008) ⇒ Fabian M. Suchanek, Gjergji Kasneci, and Gerhard Weikum. (2008). “YAGO: A Large Ontology from Wikipedia and WordNet.” In: Web Semantics: Science, Services and Agents on the World Wide Web Journal, 6(3).
2007
- (Suchanek et al., 2007) ⇒ Fabian M. Suchanek, Gjergji Kasneci, and Gerhard Weikum. (2007). “YAGO: A Core of Semantic Knowledge Unifying WordNet and Wikipedia.” In: Proceedings of the 16th International Conference on World Wide Web (WWW 2007) [doi:10.1145/1242572.1242667]