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 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 can be further extended by state-of-the-art information extraction techniques.
ER -