A Survey of Ontology Learning from Text
Jia Xiu · 2007
Research on ontology is increasingly becoming widespread in the computer science community.But the manual construction of ontology is a time-consuming task and easily leads to the bottleneck of knowledge acquisition.Ontology learning aims at the integration of a multitude of disciplines such as ontology engineering techniques and machine learning techniques to construct the ontology(semi)automatically.There are different ontology learning approaches according to the type of input:ontology learning from text,from knowledge base,from structured-data,from semi-structured data and from unstructured data.Ontology learning from text is mainly introduced.The key technologies of ontology learning from text are presented,including learning content,learning approach,learning tool,learning process and system evaluation.Authors especially introduce the statistical method,lexico-syntactic pattern method and formal concept analysis method and simply analyze the advantage and disadvantage of these methods.