Novel Approaches to the Development and Application of Informetric and Scientometric Tools

IF 1.5 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Journal of Data and Information Science Pub Date : 2020-11-01 DOI:10.2478/jdis-2020-0041

Giuseppe Catalano,Cinzia Daraio,Jacqueline Leta,Henk F. Moed,Giancarlo Ruocco,Xiaolin Zhang

引用次数: 0

Abstract

This is the second part of the Journal of Data and Information Science (JDIS) Special Issue on ISSI 2019, the 17th International Conference on Scientometrics and Informetrics (ISSI2019) held in Rome, on 2–5 September 2019 and includes additional 10 selected posters presented during the conference largely expanded by the authors afterwards. The papers included in this volume have been grouped in three broad themes:

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开发和应用信息计量学和科学计量学工具的新方法

这是《数据与信息科学期刊》（JDIS）关于 ISSI 2019 特刊的第二部分，ISSI 2019 是 2019 年 9 月 2-5 日在罗马举行的第 17 届科学计量学与信息计量学国际会议（ISSI2019），其中包括在会议期间提交的另外 10 篇精选海报，主要由作者在会后扩充。本卷收录的论文分为三大主题：

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

Journal of Data and Information Science INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

3.50

自引率

6.70%

发文量

495

期刊介绍： JDIS devotes itself to the study and application of the theories, methods, techniques, services, infrastructural facilities using big data to support knowledge discovery for decision & policy making. The basic emphasis is big data-based, analytics centered, knowledge discovery driven, and decision making supporting. The special effort is on the knowledge discovery to detect and predict structures, trends, behaviors, relations, evolutions and disruptions in research, innovation, business, politics, security, media and communications, and social development, where the big data may include metadata or full content data, text or non-textural data, structured or non-structural data, domain specific or cross-domain data, and dynamic or interactive data. The main areas of interest are: (1) New theories, methods, and techniques of big data based data mining, knowledge discovery, and informatics, including but not limited to scientometrics, communication analysis, social network analysis, tech & industry analysis, competitive intelligence, knowledge mapping, evidence based policy analysis, and predictive analysis. (2) New methods, architectures, and facilities to develop or improve knowledge infrastructure capable to support knowledge organization and sophisticated analytics, including but not limited to ontology construction, knowledge organization, semantic linked data, knowledge integration and fusion, semantic retrieval, domain specific knowledge infrastructure, and semantic sciences. (3) New mechanisms, methods, and tools to embed knowledge analytics and knowledge discovery into actual operation, service, or managerial processes, including but not limited to knowledge assisted scientific discovery, data mining driven intelligent workflows in learning, communications, and management. Specific topic areas may include: Knowledge organization Knowledge discovery and data mining Knowledge integration and fusion Semantic Web metrics Scientometrics Analytic and diagnostic informetrics Competitive intelligence Predictive analysis Social network analysis and metrics Semantic and interactively analytic retrieval Evidence-based policy analysis Intelligent knowledge production Knowledge-driven workflow management and decision-making Knowledge-driven collaboration and its management Domain knowledge infrastructure with knowledge fusion and analytics Development of data and information services