Archives and Data Management: The Purdue Story

Dearborn, Carly

doi:10.29242/rli.296.4

Cited by 1 publication

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“…Currently, raising and improving the level of informatization and digitization in design and research institutes and vigorously developing digital archives management systems have become the key work in the coming period [1][2]. The current archives management mode of many design and research institutes still adopts a more traditional management method, i.e., paper archives management as the main carrier, which leads to an exponential increase in the space of the archives room of design and research institutes, while the pressure on the archives is getting bigger and bigger, and the paper archives are not convenient to carry and are quite unfriendly in terms of use [3].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the effect of user-understanding-based retrieval system improvement on the application of intelligent archive management

Wang

2023

Applied Mathematics and Nonlinear Sciences

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As a precipitation and accumulation of history, archives management has gradually tended to be digitalized and informalized with the continuous updating and development of modern technology. In this paper, we first study the retrieval system and focus on the Boolean model, vector model, and probabilistic model in information retrieval technology. The matching relationship between documents and queries is detected from the document set for the user’s query, and a relevance retrieval system based on user understanding is proposed to solve the matching problem. The amount of information that needs to be retrieved is growing exponentially, and how a user perceives the information is crucial to the process. Then, in order to solve the problem of insufficient retrieval efficiency caused by the explosive growth of wisdom files, the retrieval system is creatively optimized on the basis of the ant colony algorithm, which effectively improves the efficiency of wisdom file management. The efficiency of the optimized retrieval system is verified and analyzed in an experimental simulation environment. The findings demonstrate that when the amount of archives rises, the retrieval effectiveness of the improved ant colony algorithm described in this study marginally improves, but in 10~35s. As the inventory of the Smart Archives increases, the content retrieval of the archives will become more and more frequent. This study improves retrieval efficiency and serves as a good demonstration for the construction of archival management information technology.

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Section: Introductionmentioning

confidence: 99%

Analysis of the effect of user-understanding-based retrieval system improvement on the application of intelligent archive management

Wang

2023

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

show abstract

Archives and Data Management: The Purdue Story

Cited by 1 publication

References 0 publications

Analysis of the effect of user-understanding-based retrieval system improvement on the application of intelligent archive management

Analysis of the effect of user-understanding-based retrieval system improvement on the application of intelligent archive management

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