大学知识图谱:方法分析及其使用实例

T. A. Gavrilova, A. V. Kuznetsova, E. Y. Greenberg
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引用次数: 0

摘要

本文旨在分析当前对知识地图的研究、开发和应用情况,以便将大学中异质的、分散的、往往是隐藏的知识可视化,并讨论高等教育机构中地图开发的特点。智力服务市场在俄罗斯和世界范围内都在积极发展,对人力资本进行明确评估的方法也极具现实意义。在充满活力的教育和咨询服务市场中,高校的智力资本是最重要的资产之一。研究机构和大学是现代知识和技术中心,讲师和研究人员在这里积累、传递和生产知识,倍增和补充显性和隐性知识资产。知识管理有助于教育和科研机构解决知识资本管理问题,获得竞争优势,提高管理效率,降低知识集中在少数专家身上所带来的风险。本文致力于分析通过可视化和知识图谱促进大学知识资本和知识资本货币化的新机遇问题。大学讲师的知识图谱是提高研究和营销传播质量以及在咨询和智力服务市场定位的相关工具。教育机构和研究团队的知识图谱具有特别的研究意义,因为在这一领域,没有任何企业希望保护知识不被转让和复制的特点。这项研究的成果是知识图谱类型学,有助于确定大学知识库发展所需的模式、结构和要素。作者根据试点研究的结果,给出了具体地图的实例。在对现有知识地图类型学方法和布鲁姆分类法进行分析的基础上,开发了一个反映在解释和使用知识地图时不同理解水平的分层模型。主要的研究方法依赖于相当成熟的、在世界范围内广泛应用的知识工程方法--知识提取、结构化和形式化。根据利益相关者理论,对知识地图的潜在消费者(或利益相关者)进行了单独分析。文章讨论了知识地图在高等教育机构中实际应用的开发方法和特点。知识分析可以开发大学的组织 "记忆",收集战略知识和识别关键知识,并从总体上丰富知识结构。知识地图作为一类特殊的可视化工具,用于分析大学讲师的知识和能力,可以改善员工能力管理、管理决策的过程,从而减少认知负荷。这种地图可以提高大学在教育服务市场上的形象和营销业绩,使知识的专业面貌更加透明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge Mapping for the University: Analysis of Approaches and an Example of Its Use
The purpose of the article is to analyze the current research, development and application of knowledge maps for visualizing heterogeneous, disparate, and often hidden knowledge in universities, and discuss the features of the development of maps in higher education institutions.Materials and methods. The market for intellectual services is actively developing in Russia and worldwide, and the methods of express assessment of human capital are extremely relevant. The intellectual capital of universities is one of the most important assets in the dynamic market of educational and consulting services. Research institutes and universities are modern centers of knowledge and technology, where lecturers and researchers accumulate, transfer and produce knowledge, multiplying and replenishing explicit and implicit intellectual assets. Knowledge management helps educational and research organizations to solve the problems of managing intellectual capital, gain a competitive advantage, improve management efficiency, and reduce risks caused by the concentration of knowledge among a small number of experts. The article is devoted to the problem of analyzing new opportunities for promoting and monetizing the intellectual capital of universities through visualization and knowledge mapping. Knowledge maps of university lecturers are a relevant tool to improve the quality of research and marketing communications, as well as positioning in the market of consulting and intellectual services. Knowledge maps of educational institutions and research teams are of particular research interest, since there is no characteristic business desire to protect knowledge from transfer and reproduction in this field.The result of the study is a typology of knowledge maps, which helps to identify patterns, structures and elements necessary for the development of knowledge bases in universities. The authors based on the results of a pilot study give examples of specific maps. Based on an analysis of existing approaches to the typology of knowledge maps and Bloom’s taxonomy, a hierarchical model reflecting different levels of understanding when interpreting and using knowledge maps was developed. The main research methodology relies on fairly well developed and widely used in the world practice knowledge engineering methods – knowledge extraction, structuring and formalisation. A separate analysis of potential consumers (or stakeholders) of knowledge maps was carried out based on stakeholder theory.Conclusions. The article discusses the methodological aspects of the development and features of the practical application of knowledge maps in higher educational institutions. Knowledge analysis makes it possible to develop the organizational “memory” of a university, collecting strategic knowledge and identifying critical knowledge, and generally enriches the knowledge structure. Knowledge maps as a category of special visual tools used to analyze the knowledge and competencies of university lecturers can improve the process of managing employee competencies, management decision making, and thereby reducing cognitive load. Such maps increase the image and marketing performance of a university in the educational services market, and make the professional landscape of knowledge more transparent.
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