Knowledge Organization and Representation under the AI Lens

• 作者: Jian Qin
• 来源期刊: 数据与情报科学学报:英文版
• 学科: 社会科学
• 关键词: Knowledge representation Knowledge organization Artificial Intelligence Paradigms
• 年，卷（期）: 2020,（1）
• 页码范围: 3-17
• 页数: 15页
• 分类号: G254

摘要

Purpose:This paper compares the paradigmatic differences between knowledge organization(KO)in library and information science and knowledge representation(KR)in AI to show the convergence in KO and KR methods and applications.Methodology:The literature review and comparative analysis of KO and KR paradigms is the primary method used in this paper.Findings:A key difference between KO and KR lays in the purpose of KO is to organize knowledge into certain structure for standardizing and/or normalizing the vocabulary of concepts and relations,while KR is problem-solving oriented.Differences between KO and KR are discussed based on the goal,methods,and functions.Research limitations:This is only a preliminary research with a case study as proof of concept.Practical implications:The paper articulates on the opportunities in applying KR and other AI methods and techniques to enhance the functions of KO.Originality/value:Ontologies and linked data as the evidence of the convergence of KO and KR paradigms provide theoretical and methodological support to innovate KO in the AI era.