From Text to Knowledge: Semantic Entity Extractionusing YAGO Ontology
Farhad Abedini, Fariborz Mahmoudi, Amir Hossein Jadidinejad · International Journal of Machine Learning and Computing · 2011
Semantic entities are the entities that their concepts are available in a knowledgebase.Here, a new system will be introduced to extract semantic entities from texts.For this aim a new disambiguation method is suggested to match each of ambiguous entity with one of semantic entities in the knowledgebase.The YAGO ontology is used in this method as state of the art of knowledgebase in this field.Since entities in YAGO are meaningful, so in this method, semantic entities are obtained.Comparing the results with the literatures shows that the results of this new approach can be sufficiently reliable.