Web-based automatic reference format conversion system

By using a web-based automated reference format conversion system, the difficulties in submitting manuscripts caused by differences in the formats of different journals have been resolved. This system enables fast and accurate format conversion, improving researchers' submission efficiency and cross-device collaboration capabilities.

CN121809406AActive Publication Date: 2026-04-07JIEHELIX (SHANGHAI) MEDICAL TECH CO LTD
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Patent Information

Application Number
CN202610279203.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-09
Publication Date
2026-04-07
Estimated Expiration
2046-03-09

AI Technical Summary

Technical Problem

In the process of submitting academic papers, the differences in reference formats among different journals make manual typesetting tedious, time-consuming, and prone to errors. Existing tools do not accurately parse author information when processing NBIB format data, and there is a lack of a cloud-based one-click processing method that is compatible with cross-devices.

Method used

Design a web-based automated reference format conversion system. Adopting a B/S architecture, the system allows users to upload Word documents and NBIB format data through a front-end interactive interface. Utilizing the CSL style library and format conversion engine, it achieves automated format conversion, including NBIB parsing, BibTeX generation, Word document structuring, and citation placeholder replacement. It also supports cross-device collaboration.

Benefits of technology

It enables rapid and accurate adaptation to various journal formats, improves the efficiency of reference format conversion, reduces human error rate, adapts to cross-device collaboration scenarios, and lowers the barrier to entry for use.

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Abstract

The invention discloses an automatic reference format conversion system based on Web, and belongs to the field of computer software. The system adopts a B / S architecture, receives a Word manuscript uploaded by a user and an NBIB file exported by PubMed, and provides a dynamically loaded CSL style library for selecting a target periodical format. Through regular segmentation of NBIB entries, author information is analyzed according to an FAU priority strategy to generate standardized BibTeX data; the Word manuscript is converted into a JSON-VDOM tree with a reserved style, placeholders are positioned and referenced, a three-dimensional mapping index is established, the placeholders are replaced through CSL rendering, a reference list is added, and a final document is reversely generated. Temporary data are isolated and automatically cleaned through the UUID, and safety is guaranteed. The problems of local dependence, inaccurate analysis and tedious operation in the prior art are solved, the method is efficient, accurate, flexible and easy to use, and the paper reference typesetting efficiency is greatly improved.
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