Subjects: Library Science,Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract: [Purpose/significance] In order to meet the subject information service needs of multi-disciplinary and multi-type users, we construct a data management and intelligent analysis platform. Creating an intelligent analysis flow and managing different types of subject data that reflect experts' wisdom, the platform aims to enrich the service model and improve the service speed.[Method/process] On the basis of investigating existing relevant research and practice, we proposed the design idea and construction framework of the platform, and analyzed the main functions and key technologies.[Result/conclusion] The platform has been completed. It integrates multiple sources and multiple types of data, opens up the service chain from data to analysis, embeds a variety of information analysis methods and deep learning algorithms, realizes multi-dimensional analysis services. It can manage analysis process data and history data from information analysts, and then realize data sharing and reuse.