TY - JOUR
T1 - Learning a large scale of ontology from Japanese Wikipedia
AU - Tamagawa, Susumu
AU - Sakurai, Shinya
AU - Tejima, Takuya
AU - Morita, Takeshi
AU - Izumi, Noriaki
AU - Yamaguchi, Takahira
PY - 2010
Y1 - 2010
N2 - Here is discussed how to learn a large scale of ontology from Japanese Wikipedia. The learned ontology includes the following properties: rdfs:subClassOf (IS-A relationship), rdf:type (class-instance relationship), owl:Object/DatatypeProperty (Infobox triple), rdfs:domain (property domain), and skos:altLabel (synonym). Experimental case studies show us that the learned Japanese Wikipedia Ontology goes better than already existing general linguistic ontologies, such as EDR and Japanese WordNet, from the points of building costs and structure information richness.
AB - Here is discussed how to learn a large scale of ontology from Japanese Wikipedia. The learned ontology includes the following properties: rdfs:subClassOf (IS-A relationship), rdf:type (class-instance relationship), owl:Object/DatatypeProperty (Infobox triple), rdfs:domain (property domain), and skos:altLabel (synonym). Experimental case studies show us that the learned Japanese Wikipedia Ontology goes better than already existing general linguistic ontologies, such as EDR and Japanese WordNet, from the points of building costs and structure information richness.
KW - Ontology
KW - Ontology learning
KW - Wikipedia
UR - http://www.scopus.com/inward/record.url?scp=77955897318&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77955897318&partnerID=8YFLogxK
U2 - 10.1527/tjsai.25.623
DO - 10.1527/tjsai.25.623
M3 - Article
AN - SCOPUS:77955897318
SN - 1346-0714
VL - 25
SP - 623
EP - 636
JO - Transactions of the Japanese Society for Artificial Intelligence
JF - Transactions of the Japanese Society for Artificial Intelligence
IS - 5
ER -