Research on Semi-Automatic Construction of Domain Ontology Based on Machine Learning and Clustering Technique

In this paper we take the approach that constructed the ontology automatically, which attempted to take a method that extremely beneficial for the knowledge acquisition task was the integration of knowledge acquisition with machine learning techniques to increase the ontology construction effect, including domain concepts acquisition, taxonomy relation recognition, non-taxonomy relation recognition and ontology formalization description. This paper adopted an approach of non-dictionary Chinese word Segmentation techniques based on N-Gram to acquire domain candidate concepts, take the method based of NLP in the recognition of domain concept property relation, extracted subject, predicate and object of sentences. This triangle data can be treated as the triplet of data and object type property.