人工智能技术的数字图书馆信息检索模型

Information retrieval model of digital library based on artificial intelligence technology

图书馆信息检索的传统模型智能化水平低,无法获得效果非常好的检索匹配结果,为此,提出人工智能技术的数字图书馆信息检索模型。利用人工智能技术构建领域本体,再利用语义字典和主体词表简化程序,处理用户查询信息。完成上述工作后,计算候选术语的出现频率、候选术语长度、候选术语出现次数总和,得到候选术语列表,构建数字图书馆信息检索模型,处理检索需求。由此,完成人工智能技术的数字图书馆信息检索模型的设计。最后,在SaaS领域中挑选经常使用的15个检索词,检测传统模型与所建模型的检索匹配结果的准确率、召回率、平均权重值。实验结果表明,所建模型获得了效果非常好的准确率、召回率、平均权重值。由此说明,所建模型的检索匹配结果更准确。

The traditional model has a low level of intelligence,and can not obtain very good retrieval results.Therefore,a digital library information retrieval model based on artificial intelligence technology is proposed.The domain ontology is constructed by using artificial intelligence technology,and the procedure is simplified by using semantic dictionary and subject vocabulary to process user query information.After completing the above work,the frequency,length and number of candidate terms are calculated.The list of candidate terms is obtained.And the information retrieval model of digital library is constructed to deal with the retrieval needs.Thus,the design of information retrieval model of digital libraiy based on artificial intelligence technology is completed.Finally,15 frequently used search terms are selected in the SaaS field to delect the accuracy,recall rate,and average weight value of the search matching results of the traditional model and the built model.The experimental results show that the model has obtained very good accuracy,recall,and average weight values.This shows that the retrieval and matching results of the built model are more accurate.