Problem Reconstruction:Analysis of Identification and Application of Dark Data in Public Libraries
[Purpose/significance]Identifying and reasonably applying dark data is beneficial for maximizing data val-ue.[Method/process]Taking user retrieval behavior as an example,based on the elaboration of problem reconstruc-tion ideas and methods,a framework design is carried out for specific application scenarios in public libraries.Key breakthrough technologies are discussed from three aspects:retrieval behavior reconstruction,dark data recognition,dark data evaluation and grading.[Result/conclusion]Based on the above ideas and methods,empirical research was conducted to identify and process dark data in the Wenjin search system of the National Library.The feasibility of rec-ognizing and applying dark data in public libraries was demonstrated by constructing a user retrieval intention data-base,constructing a user retrieval trend analysis tool,and implementing data protection through reverse utilization of dark data.
dark dataproblem reconstructionpublic librariesfeature recognition points
万方数据
维普
