Classification mapping method of digital library information retrieval by laser storage
Digital book storage retrieval is affected by information mapping,which leads to low coverage and accuracy.This paper proposes a method of information category mapping for digital book storage retriev-al by laser.According to the USMARC records in the mapping system statistics method and Dewey decimal classification method,the class number mapping relationship is constructed,the data of the Chinese library method and DDC are normalized,the class data structure is constructed,the retrieval data table is divided,and the retrieval characteristic words are extracted.Based on the double sequence comparison,the similari-ty of feature words,compound vocabulary categories and their surroundings is calculated,and the mapping of information categories for digital library information retrieval by laser storage is realized.The experiment results show that the coverage rate of the mapping method is 98.38%,and the accuracy rate is 97.48%,both improving the coverage rate and accuracy rate.
digital book collectionlaser storage and retrieval systeminformation category mappingcom-pound vocabularyChinese library classification