Research And Application Of User Experience-oriented Archival Information Resource Sharing Service System

With the rapid development of computer technology,big data analysis and various industries are closely integrated.The huge information resources not only bring a lot of convenience to our society and life,but also bring the problem of how to integrate and efficiently use these data.The field of archives is deeply affected by the development of information technology.With the progress of science and technology,the traditional archives management model has been unable to meet the needs of archives users.How to integrate and share archival information resources,and provide intelligent and personalized archival knowledge services to archival users,so as to improve users’ experience of using archives,has become the research focus of archival information system construction.Based on the original data provided by the archival information construction in Gansu Province,this paper explores the implementation methods of archival entity identification and relationship extraction,and designs and implements the archival information resource sharing service system by building an intelligent archival knowledge base.The main contents of this paper are as follows:First,the construction of archival knowledge base based on ontology.Firstly,based on the multi-source heterogeneous data of archives,a nested tagging strategy for unstructured archival text data is adopted.Then,this paper selects six models of Bi Lstm-CRF,Multi Feat-Bi Lstm-CRF,Albert-Bi Lstm-CRF,Ro Berta-Bi Lstm-CRF,Bert-wwm-Bi Lstm CRF and Bert-Bi Lstm-CRF to carry on the archival entity extraction contrast experiment.The experimental results show that the archival entity recognition effect based on Bert-Bi Lstm-CRF model is the best,which provides a theoretical basis for the construction of archival knowledge base.Finally,according to the needs of archival information construction and the characteristics of archival data structure,a rule-based relationship extraction method is proposed,and the extracted archival knowledge is stored in the Neo4 j diagram database,which becomes the main data source for archival users.Second,the design and implementation of archival information resource sharing service system.According to the constructed archival knowledge base,the system will carry on the overall design according to the B/ S model,proceed from the archival user demand analysis,take the Flask development framework as the core to realize the archival information resource sharing service system,and complete the user functional requirements,system functional requirements,the overall system design,the overall system implementation and testing process.After testing,the system has more complete functions and runs stably,which can not only enhance the role of archival data resource integration and resource sharing,but also provide better services for the utilization needs of archival users,and further improve the user experience and efficiency.