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A Recognition Method of Measuring Literature Topic Evolution Paths Based on K-means-NMF 基于K-means-NMF测量文献主题演化路径的识别方法
4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2023-01-01 DOI: 10.5771/0943-7444-2023-4-257
Wenbo Cui, Li Jinling, Tao Zhang, Sibo Zhang
In this study, we propose a recognition method of measuring literature topic evolution paths based on K-means-NMF in order to address problems such as the unobvious effect of topic clustering, high degree of mixing in clustering results, and unclear topic evolution paths that exist in the current research of topic evolution analysis. Firstly, we enhance the traditional NMF (Nonnegative Matrix Factorization) topic model by combining the K-means clustering algorithm with the NMF model to improve the accuracy of topic clustering and reduce the correlation among topics. Secondly, we perform the topic co-occurrence analysis based on the clustering results to identify important topic categories for recognizing critical evolution paths to solve the problem of multiple possible evolution paths in the experiment. Thirdly, we adopt the Word2Vec model to calculate topic word vectors in a semantic context to improve the accuracy of the correlation strength between topics at adjacent stages. Finally, we adopt the above method to conduct an empirical study using intelligent algorithms as an example. The experimental results show that this research method effectively identifies important topics and topic developments in the subject area, which can support scientific research and science and technology policy development.
本文针对当前主题演化分析研究中存在的主题聚类效果不明显、聚类结果混合程度高、主题演化路径不明确等问题,提出了一种基于K-means-NMF的测量文献主题演化路径的识别方法。首先,我们将K-means聚类算法与NMF模型相结合,对传统的NMF (non - negative Matrix Factorization)主题模型进行了改进,提高了主题聚类的准确性,降低了主题之间的相关性;其次,基于聚类结果进行主题共现分析,识别出重要的主题类别,用于识别关键进化路径,解决实验中存在多种可能进化路径的问题。第三,采用Word2Vec模型计算语义上下文中的主题词向量,提高相邻阶段主题间相关强度的准确性。最后,我们采用上述方法,以智能算法为例进行实证研究。实验结果表明,该研究方法可以有效识别学科领域的重要课题和课题动态,为科学研究和科技政策制定提供支持。
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引用次数: 0
Algorithmic Discriminations and Their Ethical Impacts on Knowledge Organization: A Thematic Domain-Analysis 算法歧视及其对知识组织的伦理影响:一个主题领域分析
4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2023-01-01 DOI: 10.5771/0943-7444-2023-5-336
José Augusto Bagatini, José Augusto Chaves Guimarães
Personal data play a fundamental role in contemporary socioeconomic dynamics, with one of its primary aspects being the potential to facilitate discriminatory situations. This situation impacts the knowledge organization field especially because it considers personal data as elements (facets) to categorize persons under an economic and sometimes discriminatory perspective. The research corpus was collected at Scopus and Web of Science until the end of 2021, under the terms “data discrimination”, “algorithmic bias”, “algorithmic discrimination” and “fair algorithms”. The obtained results allowed to infer that the analyzed knowledge domain predominantly incorporates personal data, whether in its behavioral dimension or in the scope of the so-called sensitive data. These data are susceptible to the action of algorithms of different orders, such as relevance, filtering, predictive, social ranking, content recommendation and random classification. Such algorithms can have discriminatory biases in their programming related to gender, sexual orientation, race, nationality, religion, age, social class, socioeconomic profile, physical appearance, and political positioning.
个人数据在当代社会经济动态中发挥着重要作用,其主要方面之一是可能助长歧视情况。这种情况影响了知识组织领域,特别是因为它将个人数据视为从经济角度(有时是歧视性角度)对人进行分类的要素(方面)。研究语料库在Scopus和Web of Science上收集到2021年底,分类为“数据歧视”、“算法偏见”、“算法歧视”和“公平算法”。获得的结果可以推断,所分析的知识领域主要包含个人数据,无论是在其行为维度还是在所谓的敏感数据范围内。这些数据容易受到不同顺序算法的作用,如相关性、过滤、预测性、社会排名、内容推荐和随机分类。这种算法在编程中可能存在与性别、性取向、种族、国籍、宗教、年龄、社会阶层、社会经济状况、外貌和政治定位相关的歧视性偏见。
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引用次数: 0
Social Affects Engineering and Ethics 社会影响工程与伦理学
4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2023-01-01 DOI: 10.5771/0943-7444-2023-5-359
Marcilio de Brito
This text proposes a multidisciplinary reflection on the subject of ethics, based on philosophical approaches, using Spinoza’s work, Ethics, as a foundation. The power of Spinoza’s geometric reasoning and deterministic logic, compatible with formal grammars and programming languages, provides a favorable framework for this purpose. In an information society characterized by an abundance of data and a diversity of perspectives, complex thinking is an essential tool for developing an ethical construct that can deal with the uncertainty and contradictions in the field. Acknowledging the natural complexity of ethics in interpersonal relationships, the use of AI techniques appears unavoidable. Artificial intelligence in KOS offers the potential for processing complex questions through the formal modeling of concepts in ethical discourse. By formalizing problems, we hope to unleash the potential of ethical analysis; by addressing complexity analysis, we propose a mechanism for understanding problems and empowering solutions.
本文提出了一个多学科的反思伦理的主题,基于哲学的方法,使用斯宾诺莎的工作,伦理学,作为基础。斯宾诺莎的几何推理和确定性逻辑的力量,与形式语法和编程语言兼容,为这一目的提供了一个有利的框架。在一个以数据丰富和视角多样为特征的信息社会中,复杂思维是发展伦理结构的必要工具,可以处理该领域的不确定性和矛盾。承认人际关系中伦理的自然复杂性,使用人工智能技术似乎是不可避免的。KOS中的人工智能通过对伦理话语中的概念进行形式化建模,提供了处理复杂问题的潜力。通过将问题形式化,我们希望释放伦理分析的潜力;通过处理复杂性分析,我们提出了一种理解问题和授权解决方案的机制。
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引用次数: 0
Organization of Complex Topics in Comprehensive Classification Schemes: Case Studies of Disaster and Security 综合分类方案中复杂主题的组织:灾难与安全案例研究
IF 0.7 4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2023-01-01 DOI: 10.5771/0943-7444-2023-2-99
Yejun Wu
This research investigates how comprehensive classifications and home-grown classifications organize complex topics. Two comprehensive classifications and two home-grown taxonomies are used to examine two complex topics: disaster and security. The two comprehensive classifications are the Library of Congress Classification and the Classification Scheme for Chinese Libraries. The two home-grown taxonomies are AIRS 211 LA County Taxonomy of Human Services – Disaster Services, and the Human Security Taxonomy. It is found that a comprehensive classification may provide many subclasses of a complex topic, which are scattered in various classes. Occasionally the classification scheme may provide several small taxonomies that organize the terms of a subclass of the complex topic that are pulled from multiple classes. However, the comprehensive classification provides no organization of the major subclasses of the complex topic. The lack of organization of the major subclasses of the complex topic may prevent users from understanding the complex topic systematically, and so preventing them from selecting an appropriate classification term for the complex topic. Ideally a comprehensive classification should provide a high-level conceptual framework for the complex topic, or at least organize the major subclasses in a way that help users understand the complex topic systematically.
本研究探讨综合分类法与自创分类法如何组织复杂主题。两个综合分类和两个本地分类法用于检查两个复杂的主题:灾难和安全。《美国国会图书馆分类法》和《中国图书馆分类方案》是两个综合性的分类法。这两个本土分类法是air 211洛杉矶县人类服务分类法-灾难服务分类法和人类安全分类法。研究发现,一个综合的分类可以为一个复杂的主题提供许多子类,这些子类分散在不同的类中。有时,分类方案可能提供几个小的分类法,这些分类法组织从多个类中提取的复杂主题的子类的术语。然而,综合分类没有提供复杂主题的主要子类的组织。复杂主题的主要子类缺乏组织可能会阻碍用户系统地理解复杂主题,从而阻碍他们为复杂主题选择合适的分类术语。理想情况下,全面的分类应该为复杂主题提供高级概念框架,或者至少以帮助用户系统地理解复杂主题的方式组织主要子类。
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引用次数: 0
Bibliographical Control 书目的控制
4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2023-01-01 DOI: 10.5771/0943-7444-2023-4-301
Birger Hjørland
Section 1 of this article discusses the concept of bibliographical control and makes a distinction between this term, “bibliographical description,” and related terms, which are often confused in the literature. It further discusses the function of bibliographical control and criticizes Patrick Wilson’s distinction between “exploitative control” and “descriptive control.” Section 2 presents projects for establishing bibliographic control from the Library of Alexandria to the Internet and Google, and it is found that these projects have often been dominated by a positivist dream to make all information in the world available to everybody. Section 3 discusses the theoretical problems of providing comprehensive coverage and retrieving documents represented in databases and argues that 100% coverage and retrievability is an unobtainable ideal. It is shown that bibliographical control has been taken very seriously in the field of medicine, where knowledge of the most important findings is of utmost importance. In principle, it is equally important in all other domains. The conclusion states that the alternative to a positivist dream of complete bibliographic control is a pragmatic philosophy aiming at optimizing bibliographic control supporting specific activities, perspectives, and interests.
本文第1节讨论了书目控制的概念,并对“书目描述”这一术语与文献中经常混淆的相关术语进行了区分。本文进一步探讨了书目控制的功能,并对帕特里克·威尔逊对“剥削性控制”和“描述性控制”的区分提出了批评。第2节介绍了建立书目控制的项目,从亚历山大图书馆到互联网和谷歌,我们发现这些项目往往被一个实证主义的梦想所主导,即让世界上所有的信息都能为每个人提供。第3节讨论了提供全面覆盖和检索数据库中表示的文档的理论问题,并认为100%的覆盖和可检索性是无法实现的理想。这表明,在医学领域,书目控制已经得到了非常认真的对待,其中最重要的发现的知识是至关重要的。原则上,它在所有其他领域同样重要。结论指出,替代完全书目控制的实证主义梦想是一种实用主义哲学,旨在优化书目控制,支持特定的活动、观点和兴趣。
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引用次数: 0
Information 信息
IF 0.7 4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2023-01-01 DOI: 10.5771/0943-7444-2023-1-47
Birger Hjørland
This article presents a brief history of the term “information” and its different meanings, which are both important and difficult because the different meanings of the term imply whole theories of knowledge. The article further considers the relation between “information” and the concepts “matter and energy”, “data”, “sign and meaning”, “knowledge” and “communication”. It presents and analyses the influence of information in information studies and knowledge organization and contains a presentation and critical analysis of some compound terms such as “information need”, “information overload” and “information retrieval”, which illuminate the use of the term information in information studies. An appendix provides a chronological list of definitions of information.
本文简要介绍了“信息”一词的历史及其不同含义,这既重要又困难,因为这个词的不同含义意味着整个知识理论。文章进一步探讨了“信息”与“物质与能量”、“数据”、“符号与意义”、“知识”、“交流”等概念之间的关系。介绍和分析了信息在信息学和知识组织中的影响,并对“信息需要”、“信息超载”、“信息检索”等复合术语进行了介绍和批判性分析,阐明了信息在信息学中的使用。附录按时间顺序列出了信息的定义。
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引用次数: 0
Scope - Aims 范围-目标
4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2023-01-01 DOI: 10.5771/0943-7444-2023-5-382
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引用次数: 0
Education and Training for Knowledge Organization: Introduction to this Special Issue 知识组织的教育与培训:本特刊简介
4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2023-01-01 DOI: 10.5771/0943-7444-2023-3-157
Olivia Pestana, Thiago Henrique Bragato Barros, David Haynes, Gercina Ângela de Lima
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引用次数: 0
The Universal Decimal Classification in the Organization of Knowledge: Representing the Concept of Ethics 知识组织中的普遍十进分类法:代表伦理概念
4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2023-01-01 DOI: 10.5771/0943-7444-2023-3-214
Benildes Coura Moreira dos Santos Maculan
Training in knowl­edge organization (KO) involves an understanding of theories for the construction, maintenance, use, and evaluation of logical documentary languages. Teaching these KO concepts in LIS programs are related basically to accessing documents and retrieving their intellectual content. This study focuses on access to documents and exploring the ethical theme in all its dimensions as applied to the teaching of an undergraduate discipline as part of a Bachelor of Library Science degree offered at the Federal University of Minas Gerais (UFMG). As a methodology, a Project-based Pedagogy strategy is used in the teaching of a discipline called “Classification Systems: UDC” for students to classify a documentary resource from a collection on ethics. The teaching of bibliographic classification requires students to learn how to use the mechanisms available to form a notation as well as to use a syntax schema (tables) appropriately. Students also learn to determine a place for the document in the collection, considering the knowl­edge represented in the collection as a whole. Altogether, such a practice can help students to understand the theory underlying a classification system. The results show that the students were able to understand the basic concepts of knowl­edge organization. The students were also able to observe that the elements of the different tables of a classification tool are essential mechanisms for the organization of knowl­edge in other contexts, especially for specific purposes.
知识组织(KO)的培训包括对逻辑文献语言的构建、维护、使用和评估的理论理解。在LIS程序中教授这些KO概念基本上与访问文档和检索其智力内容有关。本研究的重点是获取文件和探索伦理主题的所有维度,作为米纳斯吉拉斯州联邦大学(UFMG)提供的图书馆学学士学位本科学科教学的一部分。作为一种方法,在“分类系统:UDC”这门学科的教学中使用了基于项目的教学法策略,让学生从伦理学的集合中对文献资源进行分类。书目分类教学要求学生学会如何使用现有的机制来形成一种符号,并适当地使用语法模式(表)。学生们还学习确定文档在集合中的位置,将集合中所代表的知识作为一个整体来考虑。总之,这样的实践可以帮助学生理解分类系统的理论基础。结果表明,学生能够理解知识组织的基本概念。学生们还能够观察到,分类工具的不同表的元素是在其他环境中组织知识的基本机制,特别是对于特定目的。
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Titelei/Inhaltsverzeichnis Titelei /目录。
4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2023-01-01 DOI: 10.5771/0943-7444-2023-3-155
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Knowledge Organization
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