Knowledge Retrieval of Chinese Medicinal Materials Based on Extension Semantics

Abstract

There are many varieties of Chinese medicinal materials, and the retrieval is complicated. In this paper, knowledge retrieval of Chinese medicinal materials is proposed, and semantic similarity is considered on the basis of information retrieval. The algorithm in this paper calculated the similarity from the three aspects of information content, semantic distance, and attributes. Introduced extenics, considered the importance of different attributes from the perspectives of scientific research and medical treatment, and used dynamic matter-element weights to achieve comparison and retrieval of Chinese herbal medicines. The calculation process is convenient, which improves the calculation efficiency and storage space utilization. Finally, the accuracy and feasibility of the algorithm in this paper are verified through algorithm comparison and algorithm sensitivity calculation.