Ontology Evolution Algorithm for Topic Information Collection
Jing Ma, Mengyong Sun, Chi Li, Zihao Tian · 2014
In this paper, we propose a domain ontology evolution algorithm based on web-pages and user- behavior, which can excavate new concepts dynamically and realize topic-ontology evolution under users' guidance. The new ontology will be applied to direct topic information collection, which is a virtuous circle and the whole subject information collecting system would optimize automatically and continuously. The results of experiment verify that this solution could effectively improve accuracy and coverage-rate of topic information collection.