A Novel Sequence Graph-Based Approach to Find Academic Research Trends

2020 ◽  
Vol 12 (1) ◽  
pp. 45-56
Author(s):  
Soumya George ◽  
M. Sudheep Elayidom ◽  
T. Santhanakrishnan
Keyword(s):  
Computer Science ◽  
Efficient Method ◽  
Academic Research ◽  
Subject Area ◽  
Research Trends ◽  
Challenges And Opportunities ◽  
Sequence Graph ◽  
Academic Publications ◽  
Subject Areas

Research trends are dynamic, changing from time to time. It is an indicator of the latest innovations in each field of research, current areas of research, the latest technologies, and developments in each field of research. It also helps with future innovations and developments by providing current challenges and opportunities. This article proposes an efficient method to find research trends in each field of research of any subject area by using the graph-based subject classification of published papers. This methodology can be efficiently used to find research trends at any point of time, based on the published year of academic publications. A study of change in research trends in three subject areas - physics, mathematics, and computer science have been successfully conducted based on a total of 4500 publications since 2004.

The role of arXiv, RePEc, SSRN and PMC in formal scholarly communication

2015 ◽  
Vol 67 (6) ◽  
pp. 614-635 ◽  
Author(s):  
Xuemei Li ◽  
Mike Thelwall ◽  
Kayvan Kousha
Keyword(s):  
Social Science Research ◽  
Science Research ◽  
Subject Area ◽  
Research Network ◽  
Content Type ◽  
Institutional Repositories ◽  
Major Subject ◽  
Academic Publications ◽  
Subject Areas

Purpose – The four major Subject Repositories (SRs), arXiv, Research Papers in Economics (RePEc), Social Science Research Network (SSRN) and PubMed Central (PMC), are all important within their disciplines but no previous study has systematically compared how often they are cited in academic publications. In response, the purpose of this paper is to report an analysis of citations to SRs from Scopus publications, 2000-2013. Design/methodology/approach – Scopus searches were used to count the number of documents citing the four SRs in each year. A random sample of 384 documents citing the four SRs was then visited to investigate the nature of the citations. Findings – Each SR was most cited within its own subject area but attracted substantial citations from other subject areas, suggesting that they are open to interdisciplinary uses. The proportion of documents citing each SR is continuing to increase rapidly, and the SRs all seem to attract substantial numbers of citations from more than one discipline. Research limitations/implications – Scopus does not cover all publications, and most citations to documents found in the four SRs presumably cite the published version, when one exists, rather than the repository version. Practical implications – SRs are continuing to grow and do not seem to be threatened by institutional repositories and so research managers should encourage their continued use within their core disciplines, including for research that aims at an audience in other disciplines. Originality/value – This is the first simultaneous analysis of Scopus citations to the four most popular SRs.

scholarly journals Limitations of Applying the Data Compression Method to the Classification of Abstracts of Publications Indexed in Scopus

2020 ◽  
Vol 18 (3) ◽  
pp. 57-68
Author(s):  
Irina V. Selivanova
Keyword(s):  
Data Compression ◽  
Automatic Generation ◽  
Subject Area ◽  
Theoretical Computer Science ◽  
Scientific Texts ◽  
Theoretical Computer ◽  
Subject Areas ◽  
Number Of Publications ◽  
Initial Classification

The paper describes the limitations of applying the method of classification of scientific texts based on data compression to all categories indicated in the ASJC classification used in the Scopus bibliographic database. It is shown that the automatic generation of learning samples for each category is a rather time-consuming process, and in some cases is impossible due to the restriction on data upload installed in Scopus and the lack of category names in the Scopus Search API. Another reason is that in many subject areas there are completely no journals and, accordingly, publications that have only one category. Application of the method to all 26 subject areas is impossible due to their vastness, as well as the initial classification of Scopus. Often in different subject areas there are terminologically close categories, which makes it difficult to classify a publication as a true area. These findings also indicate that the classification currently used in Scopus and SciVal may not be completely reliable. For example, according to SciVal in terms of the number of publications, the category “Theoretical computer science” is in second place among all publications in the subject area “Mathematics”. The study showed that this category is one of the smallest categories, both in terms of the presence of journals and publications with only this category. Thus, many studies based on the use of publications in ASJC may have some inaccuracies.

scholarly journals Further Research is Required to Determine Which Database Products Best Support Research in Public Administration

2006 ◽  
Vol 1 (2) ◽  
pp. 43
Author(s):  
David Hook
Keyword(s):  
Social Sciences ◽  
Public Administration ◽  
Full Text ◽  
Academic Library ◽  
Academic Research ◽  
The United States ◽  
Subject Area ◽  
Business Source Premier ◽  
Subject Areas ◽  
Academic Search

A review of: Tucker, James, Corey. “Database Support for Research in Public Administration.” Behavioral & Social Sciences Librarian 24.1 (2005): 47-60. Objective – To examine the extent to which six commercial database products support student and faculty research in the area of public administration. Design – Bibliometric study. Setting – Academic library in the United States. Subjects – Six commercial business-related database products were examined: Proquest’s ABI/INFORM Global edition (ABI), EBSCO’s Business Source Premier (BSP), Gale’s General BusinessFile ASAP (GBF), EBSCO’s Academic Search Premier (ASP), EBSCO’s Expanded Academic Index (EAI) and Proquest’s International Academic Research Library (ARL). Three of the databases (ABI, BSP, GBF) were chosen because they address the management, human resource, and financing elements of public administration. The other three (ASP, EAI, ARL) were included because of their multidisciplinary coverage. Methods – A list of journal titles covering public administration was assembled from the Institute of Scientific Information’s Social Sciences Citation Index and previously published lists of recommended journals in the field. The author then compared the compiled list of journal titles against the journal titles indexed by the six database products. He further analyzed the results by level of journal coverage (abstract only, full-text, and full-text with embargo) and subject area based on categories described in Ulrich’s Periodicals Directory. Main Results – The study found that three of the six database products --EAI, BSP, and ARL -- provide indexing for the greatest number of public administration journals contained in the compiled list. EIA and ARL cover the greatest number of those that are full-text journals, while BSP and ASP cover the greatest number of those full-text journals limited by publisher embargoes. Conclusion – The author concludes that of the six databases examined, EAI, BSP, and ARL are the best for public administration research, based on their strength in the subject areas of public administration and public finance. The author also recommends that librarians in the field of public administration “carefully evaluate each database to see which one best fits the needs of the library and patrons” (56).

Tourism information technology research trends: 1990-2016

2019 ◽  
Vol 74 (1) ◽  
pp. 5-19 ◽  
Author(s):  
Yulan Yuan ◽  
Yuen-Hsien Tseng ◽  
Chaang-Iuan Ho
Keyword(s):  
Information Technology ◽  
Academic Research ◽  
Research Trends ◽  
Research Trend ◽  
Computer Assisted ◽  
Technology Research ◽  
Content Type ◽  
Subject Areas ◽  
Tourism Information ◽  
Overview Analysis

Purpose The advancement of data analysis tools makes analyzing a huge amount of literature possible. This paper aims to identify tourism information technology research trends with the assistance of Toolkit for Academic Research (CATAR) to answer two research questions: the status of tourism information technology (IT) articles published in these selected journals from 1990 to 2016, and whether the number of Tourism IT articles is increasing or decreasing, and the main research topics studied in these articles from 1990 to 2016, and whether those have shifted over the 27 years. Design/methodology/approach Selected keywords identified by researchers that were used to extract Tourism IT articles published in Web of Science database. CATAR was used to carry out two analyses, namely, overview analysis and breakdown analysis. Overview analysis is performed to apply citation analysis to identify the general trend and the most cited reference of Tourism IT research represented by the selected articles. Breakdown analysis is based on bibliographic coupling (BC) analysis. Findings The number of Tourism IT publications grew rapidly in the second half of the 2000s, as mobile phones with touch screens became increasingly popular. It signals changes in the way of information searching behaviors. A total of 769 authors from 44 countries contributed to Tourism IT research. The USA, China, UK and Australia are the countries contributing the most. Six subject areas were revealed, namely, the interaction of people and organization; interaction of people and information; interaction of people and technology; technological implementation; the interaction of organization and information; and interaction of organization and technology. Research limitations/implications The major limitation of this study must be considered – the use of data merely derived from WoS database. The BC analysis makes a comparison between references of the given articles. This analysis requires the citation sources with better data quality, which is mainly based on the accuracy and standardization of databases. WoS is the database currently fit this requirement. The emergence of the new citation tools will enable scholars to pull data from new databases and to clean the data. Incorporating data from those new databases will reveal more accurate and comprehensive picture of Tourism IT research trend. Originality/value This paper revealed the research trend and major research subject areas of Tourism IT research for the past 16 years. The results can assist scholars to quickly grasp the Tourism IT research. This paper also provides an alternative approach to conduct literature review with computer-assisted analysis program.

scholarly journals Research Trends in Hair-related Dissertations over the Past Decade - Focused on papers published in 2011~2020 -

2021 ◽  
Vol 27 (5) ◽  
pp. 1196-1205
Author(s):  
Ho-Jin Lee ◽  
Young-Hee Noh
Keyword(s):  
Clinical Trials ◽  
Academic Research ◽  
Experimental Studies ◽  
Information Service ◽  
Research Trends ◽  
Research Information ◽  
Research Papers ◽  
The Past ◽  
Master's Thesis

In this study, we will analyze academic research trends over the past 10 years in line with the development and education of the beauty industry and provide direction and basic data for future especially hair research. It was limited to master's and doctorate papers registered in the Research Information Service System (RISS) in March 2021 among beauty and beauty research papers published in 2011 and 2020. The keyword (Keyword) was categorized by hair, makeup, skin, and nail majors that can currently obtain a national technical certificate, and 2,878 were first searched. The research was conducted three times a week on March 8, 15, and March 22, 2021, with no difference in search results. The analysis of the papers studied was conducted for four months from March 2021 to June 2021. There were 1,558 skin-related thesis (54.1%), 610 hair-related thesis (21.2%), 379 makeup-related thesis (13.2%), and 331 nail-related thesis (11.5%). Among them, the distribution of hair-related thesis found to be 518 masters and 92 doctors. Looking at the topic of master's thesis, hair behaviors 217 (41.8%), hair design 208 (40.1%). doctor's thesis by topic, hair behaviors 39 (44.3%), hair design 29 (32.2%). According to a survey of research methods, 255 surveys (49.2%), 138 literature studies (26.6%), and 80 works (15.4%). The Ph.D. thesis showed 41 surveys (45.6%), 24 works (26.7%) and 9 literature studies (10%). In addition, 278 of the master's thesis were surveyed and 177 (63.7%) for consumers and 83 (29.9%) for workers. According to the classification of 47 doctoral thesis, 25consumers (53.2%) and 17 workers (36.2%). According to a survey of 34 master's experimental studies, 21 clinical trials (61.8%), 13 non-clinical trials (38.2%), 14 doctoral experimental studies (35.7%), and 9 non-clinical trials (64.3%). In the future, the scope of analysis will be expanded to major fields such as skin, makeup, and nails, and academic papers as well as academic papers will be required to be analyzed. Furthermore, it is possible to conduct a more diverse and objective analysis of research trends in the beauty field if research trends at home and abroad are grasped.

ABOUT THE PROBLEM OF CLASSIFICATION OF THE CONCEPTS OF INFORMATICS STUDIED AT SECONDARY SCHOOL

2018 ◽  
pp. 4-7
Author(s):  
S. I. Zenko
Keyword(s):  
Secondary School ◽  
Foreign Language ◽  
Computer Science ◽  
Parts Of Speech ◽  
The Third ◽  
The Cross ◽  
Definition Of

The article raises the problem of classification of the concepts of computer science and informatics studied at secondary school. The efficiency of creation of techniques of training of pupils in these concepts depends on its solution. The author proposes to consider classifications of the concepts of school informatics from four positions: on the cross-subject basis, the content lines of the educational subject "Informatics", the logical and structural interrelations and interactions of the studied concepts, the etymology of foreign-language and translated words in the definition of the concepts of informatics. As a result of the first classification general and special concepts are allocated; the second classification — inter-content and intra-content concepts; the third classification — stable (steady), expanding, key and auxiliary concepts; the fourth classification — concepts-nouns, conceptsverbs, concepts-adjectives and concepts — combinations of parts of speech.

scholarly journals CSO Classifier 3.0: a scalable unsupervised method for classifying documents in terms of research topics

2021 ◽  
Author(s):  
Angelo Salatino ◽  
Francesco Osborne ◽  
Enrico Motta
Keyword(s):  
Computer Science ◽  
Digital Libraries ◽  
Gold Standard ◽  
Research Trends ◽  
Alternative Methods ◽  
Relevant Research ◽  
Research Topics ◽  
Research Papers ◽  
Research Areas ◽  
Unsupervised Approach

AbstractClassifying scientific articles, patents, and other documents according to the relevant research topics is an important task, which enables a variety of functionalities, such as categorising documents in digital libraries, monitoring and predicting research trends, and recommending papers relevant to one or more topics. In this paper, we present the latest version of the CSO Classifier (v3.0), an unsupervised approach for automatically classifying research papers according to the Computer Science Ontology (CSO), a comprehensive taxonomy of research areas in the field of Computer Science. The CSO Classifier takes as input the textual components of a research paper (usually title, abstract, and keywords) and returns a set of research topics drawn from the ontology. This new version includes a new component for discarding outlier topics and offers improved scalability. We evaluated the CSO Classifier on a gold standard of manually annotated articles, demonstrating a significant improvement over alternative methods. We also present an overview of applications adopting the CSO Classifier and describe how it can be adapted to other fields.

scholarly journals Marine Network Protocols and Security Risks

2021 ◽  
Vol 1 (2) ◽  
pp. 239-251
Author(s):  
Ky Tran ◽  
Sid Keene ◽  
Erik Fretheim ◽  
Michail Tsikerdekis
Keyword(s):  
Network Protocols ◽  
Network Protocol ◽  
Identification System ◽  
Automated Identification ◽  
Security Risks ◽  
Domain Specific ◽  
Protocol Security ◽  
Challenges And Opportunities

Marine network protocols are domain-specific network protocols that aim to incorporate particular features within the specialized marine context that devices are implemented in. Devices implemented in such vessels involve critical equipment; however, limited research exists for marine network protocol security. In this paper, we provide an analysis of several marine network protocols used in today’s vessels and provide a classification of attack risks. Several protocols involve known security limitations, such as Automated Identification System (AIS) and National Marine Electronic Association (NMEA) 0183, while newer protocols, such as OneNet provide more security hardiness. We further identify several challenges and opportunities for future implementations of such protocols.

Referring academic library chat reference patrons: how subject librarians decide

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Paula R. Dempsey
Keyword(s):  
Information Literacy ◽  
Academic Library ◽  
Academic Research ◽  
Subject Area ◽  
Empirical Examination ◽  
Content Type ◽  
Reference Services ◽  
Chat Reference ◽  
Key Factor ◽  
Doctoral Universities

Purpose The purpose of this study is to learn what factors liaison librarians in academic research libraries consider in determining whether to refer chat reference patrons to subject specialists. Design/methodology/approach Subject specialists were asked what policies guided their decisions to refer to a specialist and then assessed unreferred chat session transcripts both within and outside their specializations to determine need for a referral. Findings Few respondents were guided by formal policies. Contrary to an initial hypothesis, subject area was not a key factor in referring chat. A broader set of criteria included reference interviewing, provision of relevant resources and information literacy instruction. Respondents valued both the depth that subject specialists can provide to reference interactions and the ability of a skilled generalist to support information literacy. Research limitations/implications Findings are most applicable to large, public doctoral universities with liaison librarian programs. Assignment of respondents to subject specialist categories was complicated by their broad range of background and expertise. Practical implications The study contributes new understanding of referrals to subject specialists who have potential to guide development of formal referral policies in academic library virtual reference services. Originality/value The study is the first empirical examination of chat reference referral decisions.

A web-based language learning environment: general architecture

ReCALL ◽  
1999 ◽  
Vol 11 (S1) ◽  
pp. 31-39
Author(s):  
Pierre-Yves Foucou ◽  
Natalie Kübler
Keyword(s):  
Learning Environment ◽  
Language Learning ◽  
Computer Science ◽  
Subject Area ◽  
Point Of View ◽  
Learning Activities ◽  
Web Based ◽  
Wide Range ◽  
General Architecture ◽  
The Web

In this paper, we present the Web-based CALL environment (or WALL) which is currently being experimented with at the University of Paris 13 in the Computer Science Department of the Institut Universitaire de Technologie. Our environment is being developed to teach computer science (CS) English to CS French-speaking students, and will be extended to other languages for specific purposes such as, for example, English or French for banking, law, economics or medicine, where on-line resources are available.English, and more precisely CS English is, for our students, a necessary tool, and not an object of study. The learning activities must therefore stimulate the students' interest and reflection about language phenomena. Our pedagogical objective, relying on research acquisition (Wokusch 1997) consists in linking various texts together with other documents, such as different types of dictionaries or other types of texts, so that knowledge can be acquired using various appropriate contexts.Language teachers are not supposed to be experts in fields such as computer sciences or economics. We aim at helping them to make use of the authentic documents that are related to the subject area in which they teach English. As shown in Foucou and Kübler (1998) the wide range of resources available on the Web can be processed to obtain corpora, i.e. teaching material. Our Web-based environment therefore provides teachers with a series of tools which enable them to access information about the selected specialist subject, select appropriate specialised texts, produce various types of learning activities and evaluate students' progress.Commonly used textbooks Tor specialised English offer a wide range of learning activities, but they are based on documents that very quickly become obsolete, and that are sometimes widely modified. Moreover, they are not adaptable to the various levels of language of the students. From the students' point of view, working on obsolete texts that are either too easy or too difficult can quickly become demotivating, not to say boring.In the next section, we present the general architecture of the teaching/learning environment; the method of accessing and using it, for teachers as well as for students, is then described. The following section deals with the actual production of exercises and their limits. We conclude and present some possible research directions.

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