Research on Semantic Information Retrieval Model of Bamboo & Rattan Domain Based on Query Extension

Abstract

The existing domain semantic information retrieval models generally do not consider the wide range of domain knowledge involved, and lack the ability to query multi-level domain knowledge in this domain. Based on the semantic expression of the knowledge about bamboo & rattan via ontology, this paper mainly studies the measurement of semantic relevancy in the field of bamboo and rattan, and finally proposes a Semantic Information Retrieval Model in this field which is based on relevancy. Experimental results show that the semantic query extension based on the concept of similarity proposed in this paper can improve the recall rate and F value of retrieval model significantly.