TY  - CONF
AU  - Suchanek, Fabian M.
AU  - Kasneci, Gjergji
AU  - Weikum, Gerhard
A2  - 
T1  - YAGO: a core of semantic knowledge
T2  - Proceedings of the 16th international conference on World Wide Web
PB  - ACM
CY  - New York, NY, USA
PY  - 2007/
M2  - 
VL  - 
IS  - 
SP  - 697
EP  - 706
UR  - http://doi.acm.org/10.1145/1242572.1242667
M3  - 10.1145/1242572.1242667
KW  - yago
KW  - open
KW  - semantic
KW  - lod
KW  - data
KW  - linked
KW  - ontology
KW  - web
KW  - knowledge
L1  - 
SN  - 978-1-59593-654-7
N1  - 
N1  - 
AB  - 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.
ER  -