The Development of Meta data Extractor Plugin for Open Journal System

DOI

10.2991/978-94-6463-364-1_90How to use a DOI?

Keywords

meta data; ojs; rule-based; development

Abstract

Scientific articles are scholarly publications that present objective and verifiable information pertaining to study findings and literature reviews. These articles are typically disseminated through reputable scientific journals. The Open Journal System (OJS) is an open-source platform that facilitates the online publication of scholarly journals. The Open Journal Systems (OJS) platform offers a systematic process for submitting articles, which includes a specific stage dedicated to inputting metadata. The author manually conducts the process of completing the various stages involved in filling in the meta data. This results in a decrease in the overall effectiveness of this stage and introduces a potential danger of inaccuracies in the appropriateness of the entered information. In this scenario, there is a requirement for the implementation of novel functionalities on the OJS platform to facilitate the automated extraction and population of meta data pertaining to scientific papers that have been submitted. The rule-based approach is a viable method for extracting information from scientific journals. The extracted metadata comprises several elements such as the title, author’s name, author’s affiliation, author’s email, abstract, and keywords. The literary type and structure employed may include the utilization of typographical enhancements such as bold text, varying text sizes, text prefixes, and similar elements. The approach yields a precision rate of 95% in the extraction of articles. The developed plugin has demonstrated a significant improvement in the efficiency of populating meta data for scientific papers, achieving a time reduction of 3.72 times faster compared to the manual approach.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Muhammad Isyak Rizqi
AU  - Moch. Zawaruddin Abdullah
AU  - Muhammad Afif Hendrawan
PY  - 2024
DA  - 2024/02/17
TI  - The Development of Meta data Extractor Plugin for Open Journal System
BT  - Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2023 (iCAST-ES 2023)
PB  - Atlantis Press
SP  - 985
EP  - 991
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-364-1_90
DO  - 10.2991/978-94-6463-364-1_90
ID  - Rizqi2024
ER  -