SciBR-M: a method to map the evolution of scientific interest - A case study in educational data mining

IF 3.4 3区 管理学 0 INFORMATION SCIENCE & LIBRARY SCIENCE Library Hi Tech Pub Date : 2023-01-09 DOI:10.1108/lht-04-2022-0222
Luis E. Zárate, M. W. Rodrigues, Sérgio Mariano Dias, Cristiane Nobre, Mark Song
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引用次数: 2

Abstract

PurposeThe scientific community shares a heritage of knowledge generated by several different fields of research. Identifying how scientific interest evolves is relevant for recording and understanding research trends and society’s demands.Design/methodology/approachThis article presents SciBR-M, a novel method to identify scientific interest evolution from bibliographic material based on Formal Concept Analysis. The SciBR-M aims to describe the thematic evolution surrounding a field of research. The method begins by hierarchically organising sub-domains within the field of study to identify the themes that are more relevant. After this organisation, we apply a temporal analysis that extracts implication rules with minimal premises and a single conclusion, which are helpful to observe the evolution of scientific interest in a specific field of study. To analyse the results, we consider support, confidence, and lift metrics to evaluate the extracted implications.FindingsThe authors applied the SciBR-M method for the Educational Data Mining (EDM) field considering 23 years since the first publications. In the digital libraries context, SciBR-M allows the integration of the academy, education, and cultural memory, in relation to a study domain.Social implicationsCultural changes lead to the production of new knowledge and to the evolution of scientific interest. This knowledge is part of the scientific heritage of society and should be transmitted in a structured and organised form to future generations of scientists and the general public.Originality/valueThe method, based on Formal Concept Analysis, identifies the evolution of scientific interest to a field of study. SciBR-M hierarchically organises bibliographic material to different time periods and explores this hierarchy from proper implication rules. These rules permit identifying recurring themes, i.e. themes subset that received more attention from the scientific community during a specific period. Analysing these rules, it is possible to identify the temporal evolution of scientific interest in the field of study. This evolution is observed by the emergence, increase or decrease of interest in topics in the domain. The SciBR-M method can be used to register and analyse the scientific, cultural heritage of a field of study. In addition, the authors can use the method to stimulate the process of creating knowledge and innovation and encouraging the emergence of new research.
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SciBR-M:一种描绘科学兴趣演变的方法——一个教育数据挖掘的案例研究
目的科学界共享由几个不同研究领域产生的知识遗产。确定科学兴趣是如何演变的,对于记录和理解研究趋势和社会需求至关重要。设计/方法论/方法本文提出了SciBR-M,这是一种基于形式概念分析从书目材料中识别科学兴趣演变的新方法。SciBR-M旨在描述一个研究领域的主题演变。该方法首先在研究领域内分层组织子域,以确定更相关的主题。在这个组织之后,我们应用时间分析,以最小的前提和单一的结论提取蕴涵规则,这有助于观察特定研究领域中科学兴趣的演变。为了分析结果,我们考虑支持度、置信度和提升指标来评估提取的含义。发现作者将SciBR-M方法应用于教育数据挖掘(EDM)领域,自首次发表以来已有23年的时间。在数字图书馆的背景下,SciBR-M允许将学院、教育和文化记忆与研究领域相结合。社会含义文化变化导致新知识的产生和科学兴趣的演变。这些知识是社会科学遗产的一部分,应该以结构化和有组织的形式传播给后代科学家和公众。独创性/价值该方法基于形式概念分析,确定科学兴趣对研究领域的演变。SciBR-M对不同时间段的书目材料进行了分层组织,并从适当的隐含规则中探索了这种分层结构。这些规则允许识别重复出现的主题,即在特定时期受到科学界更多关注的主题子集。通过分析这些规则,可以确定研究领域中科学兴趣的时间演变。这种演变是通过对该领域主题的兴趣的出现、增加或减少来观察的。SciBR-M方法可用于登记和分析某一研究领域的科学、文化遗产。此外,作者可以使用该方法来刺激创造知识和创新的过程,并鼓励新研究的出现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Library Hi Tech
Library Hi Tech INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
8.30
自引率
44.10%
发文量
97
期刊介绍: ■Integrated library systems ■Networking ■Strategic planning ■Policy implementation across entire institutions ■Security ■Automation systems ■The role of consortia ■Resource access initiatives ■Architecture and technology ■Electronic publishing ■Library technology in specific countries ■User perspectives on technology ■How technology can help disabled library users ■Library-related web sites
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