2007 YAGO
- (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]
Subject Headings: YAGO Ontology.
Notes
Cited By
2007
- (Banko et al., 2007) ⇒ Michele Banko, Michael J. Cafarella, Stephen Soderland, Matt Broadhead, and Oren Etzioni. (2007). “Open Information Extraction from the Web.” In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 2007).
Quotes
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 quality by adding knowledge about individuals like persons, organizations, products, etc. with their semantic relationships - and in quantity 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 Ontology|YAGO]] can be further extended by state-of-the-art information extraction techniques.
References
,
| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2007 YAGO | Fabian M. Suchanek Gjergji Kasneci Gerhard Weikum | YAGO: A Core of Semantic Knowledge Unifying WordNet and Wikipedia | http://www2007.org/papers/paper391.pdf | 10.1145/1242572.1242667 |