Research on sieving algorithm of domain-specific concept from ontology learning
Tong Wang · Systems engineering and electronics · 2010
According to the inaccurate faults of domain-specific concept sieving methods in the ontology learning at present,an improved sieving algorithm of the domain-specific concept is presented.Aiming at the faults of unilateral description information in domain relevance expressions and domain consensus expressions,the improved expression and algorithm are described.The experimental results display the effectiveness of domain-specific concept sieving is improved by the proposed algorithm.