A Bibliometric Analysis of the First Twenty-Five Years of the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems

2018 ◽  
Vol 26 (02) ◽  
pp. 169-193 ◽  
Author(s):  
Wanru Wang ◽  
Sigifredo Laengle ◽  
José M. Merigó ◽  
Dejian Yu ◽  
Enrique Herrera-Viedma ◽  
...  
Keyword(s):  
North America ◽  
Computer Science ◽  
Web Of Science ◽  
Research Field ◽  
Network Visualization ◽  
Knowledge Based Systems ◽  
Visualization Analysis ◽  
Knowledge Based ◽  
Author Keywords ◽  
Number Of Citations

Since the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems published its first issue in 1993, it has made important contributions to the research field of computer science. In this study, based on the dataset of the publications published in this journal between 1993 and 2016 retrieved from Web of Science, a general overview of this journal is performed using bibliometric methods and visualized networks. First, the productive and influential publications, authors, institutions, countries/territories, and supraregions are analysed based on the total number of citations, publications, and different citation thresholds. Second, network visualization analysis is applied to illustrate the links and connections between terms by using the VOSviewer software. Moreover, the most cited journals and common author keywords of three continents, including North America, Europe, and Asia, are also presented. This paper will hopefully help researchers understand the research patterns of this journal.

Task Ontology-Based Human-Computer Interaction

2009 ◽  
pp. 950-960
Author(s):  
Kazuhisa Seta
Keyword(s):  
Problem Solving ◽  
Real World ◽  
Practical Knowledge ◽  
Building Blocks ◽  
Research Field ◽  
Knowledge Based Systems ◽  
Engineering Research ◽  
Knowledge Based ◽  
Task Ontology ◽  
Problem Solving Task

In ontological engineering research field, the concept of “task ontology” is well-known as a useful technology to systemize and accumulate the knowledge to perform problem-solving tasks (e.g., diagnosis, design, scheduling, and so on). A task ontology refers to a system of a vocabulary/ concepts used as building blocks to perform a problem-solving task in a machine readable manner, so that the system and humans can collaboratively solve a problem based on it. The concept of task ontology was proposed by Mizoguchi (Mizoguchi, Tijerino, & Ikeda, 1992, 1995) and its validity is substantiated by development of many practical knowledge-based systems (Hori & Yoshida, 1998; Ikeda, Seta, & Mizoguchi, 1997; Izumi &Yamaguchi, 2002; Schreiber et al., 2000; Seta, Ikeda, Kakusho, & Mizoguchi, 1997). He stated: …task ontology characterizes the computational architecture of a knowledge-based system which performs a task. The idea of task ontology which serves as a system of the vocabulary/concepts used as building blocks for knowledge-based systems might provide an effective methodology and vocabulary for both analyzing and synthesizing knowledge-based systems. It is useful for describing inherent problem-solving structure of the existing tasks domain-independently. It is obtained by analyzing task structures of real world problem. ... The ultimate goal of task ontology research is to provide a theory of all the vocabulary/concepts necessary for building a model of human problem solving processes. (Mizoguchi, 2003) We can also recognize task ontology as a static user model (Seta et al., 1997), which captures the meaning of problem-solving processes, that is, the input/output relation of each activity in a problem-solving task and its effects on the real world as well as on the humans’ mind.

Task Ontology-Based Human-Computer Interaction

2006 ◽  
pp. 588-596
Author(s):  
Kazuhisa Seta
Keyword(s):  
Problem Solving ◽  
Real World ◽  
Practical Knowledge ◽  
Building Blocks ◽  
Research Field ◽  
Knowledge Based Systems ◽  
Engineering Research ◽  
Knowledge Based ◽  
Task Ontology ◽  
Problem Solving Task

In ontological engineering research field, the concept of “task ontology” is well-known as a useful technology to systemize and accumulate the knowledge to perform problem-solving tasks (e.g., diagnosis, design, scheduling, and so on). A task ontology refers to a system of a vocabulary/concepts used as building blocks to perform a problem-solving task in a machine readable manner, so that the system and humans can collaboratively solve a problem based on it. The concept of task ontology was proposed by Mizoguchi (Mizoguchi, Tijerino, & Ikeda, 1992, 1995) and its validity is substantiated by development of many practical knowledge-based systems (Hori & Yoshida, 1998; Ikeda, Seta, & Mizoguchi, 1997; Izumi &Yamaguchi, 2002; Schreiber et al., 2000; Seta, Ikeda, Kakusho, & Mizoguchi, 1997). He stated: …task ontology characterizes the computational architecture of a knowledge-based system which performs a task. The idea of task ontology which serves as a system of the vocabulary/concepts used as building blocks for knowledge-based systems might provide an effective methodology and vocabulary for both analyzing and synthesizing knowledge-based systems. It is useful for describing inherent problem-solving structure of the existing tasks domain-independently. It is obtained by analyzing task structures of real world problem. ... The ultimate goal of task ontology research is to provide a theory of all the vocabulary/concepts necessary for building a model of human problem solving processes. (Mizoguchi, 2003) We can also recognize task ontology as a static user model (Seta et al., 1997), which captures the meaning of problem-solving processes, that is, the input/output relation of each activity in a problem-solving task and its effects on the real world as well as on the humans’ mind.

scholarly journals Top-100 Most Cited Publications Concerning Network Pharmacology: A Bibliometric Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Cuncun Lu ◽  
Zhitong Bing ◽  
Zhijiang Bi ◽  
Ming Liu ◽  
Tingting Lu ◽  
...  
Keyword(s):  
Molecular Mechanisms ◽  
Web Of Science ◽  
Drug Research ◽  
Research Field ◽  
Current Status ◽  
Network Pharmacology ◽  
The Past ◽  
The Usa ◽  
Number Of Citations

Background. Network pharmacology (NP) has become an increasingly important focus in the drug research field over the past decade. However, no study to date has mapped the current status of NP. Therefore, we performed a bibliometric study to evaluate the top 100 cited papers on NP. Methods. We searched the Web of Science Core Collection from its inception to February 25, 2019, using the terms “network pharmacology” and “systems pharmacology.” Key data, including title, publication year, number of citations, authors, countries/regions, organizations, and journals, were retrieved and analyzed using Excel 2016 and VOSviewer 1.6.10. Results. The total number of citations for the 100 cited papers ranged from 21 to 1,238, published in 53 journals, from 2005 to 2017. The top three journals with the most publications on NP were Clinical Pharmacology & Therapeutics (n = 8, IF2017 = 6.544), Journal of Ethnopharmacology (n = 8, IF2017 = 3.115), and PLoS One (n = 7, IF2017 = 2.766). Most published articles were from the USA (n = 41) and China (n = 35). The most active author was Wang Yonghua from the Northwest A&F University, and of the 100 publications, 14 listing his name. The most frequently used substantive terms included “drug discovery,” “traditional Chinese medicine (TCM),” “in-vitro,” “cancer,” and “cardiovascular disease.” Conclusions. The USA and China made the greatest contribution to NP research. The current NP research mainly focused on NP methods (including experimental validation) and using them to explore the molecular mechanisms of TCM for some critical diseases such as cardiovascular diseases and cancers. Furthermore, we believe some guidelines should be developed to regulate NP studies.

Trends in temporal representation and reasoning

1996 ◽  
Vol 11 (3) ◽  
pp. 281-288 ◽  
Author(s):  
Luca Chittaro ◽  
Angelo Montanari
Keyword(s):  
Computer Science ◽  
Knowledge Based Systems ◽  
Logical Foundations ◽  
The Third ◽  
Knowledge Based ◽  
Temporal Representation ◽  
Key West ◽  
Research Areas ◽  
Meaningful Connections ◽  
Or Applications

Time is one of the most relevant topics in AI. It plays a major role in several of AI research areas, ranging from logical foundations to applications of knowledge-based systems. Despite the ubiquity of time in AI, researchers tend to specialise and focus on time in particular contexts or applications, overlooking meaningful connections between different areas. In an attempt to promote crossfertilisation and reduce isolation, the Temporal Representation and Reasoning (TIME) workshop series was started in 1994. The third edition of the workshop was held on May 19–20 1996 in Key West, FL, with S. D. Goodwin and H. J. Hamilton as General Chairs, and L. Chittaro and A. Montanari as Program Chairs. A particular emphasis was given to the foundational aspects of temporal representation and reasoning through an investigation of the relationships between different approaches to temporal issues in AI, computer science and logic.

scholarly journals A Scoping Review of the Digital Transformation Literature Using Scientometric Analysis

2021 ◽  
pp. 281-292
Author(s):  
Ziboud Van Veldhoven ◽  
Vedavya Etikala ◽  
Alexandre Goossens ◽  
Jan Vanthienen
Keyword(s):  
Scoping Review ◽  
Web Of Science ◽  
Research Field ◽  
Digital Transformation ◽  
Scientometric Analysis ◽  
Research Needs ◽  
Business And Society ◽  
Semantic Ambiguity ◽  
Number Of Citations ◽  
The Impact

Digital transformation is the rapidly expanding research field dealing with the increased impact of digital technologies on both business and society. Due to the large number of papers and the semantic ambiguity surrounding the terminology, covering such a broad topic is difficult. To help researchers gain a better understanding of the knowledge structure of the research field, we conduct a scoping review using scientometrics. We searched for publications dealing with digital transformation on both Scopus and Web of Science. We downloaded their bibliometric data and thoroughly merged and cleaned it using lemmatization and stemmatization. This dataset was analyzed using VOSviewer to create co-author networks and co-word occurrence graphs of the titles, abstracts, and keywords. We also visualized the growth of the research field and retrieved the top conferences and journals based on the number of papers and the number of citations. K-means clustering was performed on the abstracts and keywords to find similar research focuses. These findings highlight the broad scope of the research field, the ambiguity of the terminology, the lack of collaboration, and the absence of research into the impact of digital transformation on society. Moving forward, more research needs to be done to establish the boundaries of digital transformation and to investigate the importance of society in this phenomenon.

scholarly journals Disclosure of Information in Company’s Annual Reports: A Bibliometric Analysis

2018 ◽  
Author(s):  
Azrul Bin Abdullah ◽  
Waeibrorheem Waemustafa ◽  
Hamdan Mat Isa
Keyword(s):  
Bibliometric Analysis ◽  
Web Of Science ◽  
Annual Reports ◽  
Bibliometric Indicators ◽  
Research Publications ◽  
Thomson Reuters ◽  
Disclosure Of Information ◽  
Author Keywords ◽  
Number Of Citations ◽  
Online Web

This study evaluated the development of research publications towards the disclosure of information in companies’ annual reports. The aim of this study is to provide a preliminary source of references for related scholars interested in research mapping in this field. By using several bibliometric indicators, all research publications related to the disclosure of information in the companies’ annual reports in the online Web of Science (ISI Thomson Reuters) database were analysed. The authorship, number of citations, journal sources, publishers, institutions, and countries, year of publication, categories, and author keywords were examined. The results of these analyses were underlined and discussed.

Medical Informatics: Searching for Underlying Components

2002 ◽  
Vol 41 (01) ◽  
pp. 12-19 ◽  
Author(s):  
M. A. Musen
Keyword(s):  
Problem Solving ◽  
Computer Science ◽  
Medical Informatics ◽  
Theoretical Basis ◽  
Basic Research ◽  
Knowledge Based Systems ◽  
The Core ◽  
Knowledge Based ◽  
Domain Ontologies ◽  
Unifying Principles

Abstract Objective: To discuss unifying principles that can provide a theory for the diverse aspects of work in medical informatics. If medical informatics is to have academic credibility, it must articulate a clear theory that is distinct from that of computer science or of other related areas of study. Results: The notions of reusable domain ontologies and problem-solving methods provide the foundation for current work on second-generation knowledge-based systems. These abstractions are also attractive for defining the core contributions of basic research in informatics. We can understand many central activities within informatics in terms defining, refining, applying, and evaluating domain ontologies and problem-solving methods. Conclusion: Construing work in medical informatics in terms of actions involving ontologies and problem-solving methods may move us closer to a theoretical basis for our field.

Omnichannel retailing: a bibliometric and network visualization analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kala Mahadevan ◽  
Sujata Joshi
Keyword(s):  
Bibliometric Analysis ◽  
Web Of Science ◽  
Research Literature ◽  
Network Visualization ◽  
Future Research ◽  
Knowledge Domain ◽  
Content Type ◽  
Research Production ◽  
Visualization Analysis ◽  
Distribution Operations

PurposeThe purpose of this paper is to review the extant research literature on omnichannel retailing and map the research trends in this field through a bibliometric analysis and network visualization exercise.Design/methodology/approachThis paper employs bibliometric analysis techniques on research literature retrieved from the Scopus and Web of Science databases over the period 2013–2020 and assesses indicators such as research production and citation trends, top contributing authors, countries, journals and organizations through tools offered by the Scopus/Web of Science databases as well as Biblioshiny. A network visualization analysis of patterns such as keyword co-occurrences and co-authorship linkages between contributing countries has been investigated through the use of VOSviewer.FindingsThe bibliometric analysis indicates that research in this field is currently dominated by USA and China with Germany and UK also being key contributors. The analysis has indicated that the field of omnichannel retailing straddles multiple domains such as logistics, distribution, operations and consumer behavior, thereby offering significant future scope for research linking omnichannel retailing with these subject areas.Originality/valueThis study maps the structure of research done in the field of omnichannel retailing and outlines the key contributors in terms of authors, journals and organizations that can serve as an input for future research. The study also identifies possible avenues for future research in the knowledge domain of omnichannel retailing.

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