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JournalISSN: 0974-0643

DESIDOC Journal of Library & Information Technology 

Defence Scientific Information & Documentation Centre
About: DESIDOC Journal of Library & Information Technology is an academic journal published by Defence Scientific Information & Documentation Centre. The journal publishes majorly in the area(s): The Internet & Digital library. It has an ISSN identifier of 0974-0643. It is also open access. Over the lifetime, 1004 publications have been published receiving 6713 citations.


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Journal ArticleDOI
TL;DR: In this paper, the authors' distributions do not follow original Lotka's law, which is observed that authors’ distributions are not consistent with the original law of scattering, and they also identified 12 most productive authors with more than 20 publications in this field.
Abstract: This paper analyses growth pattern, core journals and authors' distribution in the field of bibliometrics using data from Library And Information Science Abstracts (LISA). Growth of literature does not show any definite pattern. Bradford’s law of scattering is used to identify core journals and determines 'Scientometrics' as the core journals in this field. Lotka’s law was used to identify authors’ productivity patterns. It is observed that authors’ distributions do not follow original Lotka’s law. Study also identified 12 most productive authors with more than 20 publications in this field. http://dx.doi.org/10.14429/dbit.26.1.3672

105 citations

Journal ArticleDOI
TL;DR: This paper provides a framework for characterising the various tools and techniques available to knowledge management practitioners, provides an overview of a number of key terms and concepts, describes the framework, provides examples of how to use it, and explores a variety of potential application areas.
Abstract: Knowledge management is not one single discipline. Rather it is an integration of numerous endeavours and fields of study. This paper provides a framework for characterising the various tools and techniques available to knowledge management practitioners. It provides an overview of a number of key terms and concepts, describes the framework, provides examples of how to use it, and explores a variety of potential application areas. The stress of knowledge management tools and techniques has been manoeuvred to share knowledge through communication and collaboration tools which specify the shift from process to practice. http://dx.doi.org/10.14429/djlit.29.276

81 citations

Journal ArticleDOI
TL;DR: This paper addresses the application domain analysis, functional classification, advantages and disadvantages of various filtering and recommender systems.
Abstract: The amount of scientific and technical information is growing exponentially. As a result, the scientific community has been overwhelmed by the information published in number of new books, journal articles, and conference proceedings. In addition to increasing number of publications, advances in information technology have dramatically reduced the barriers in electronic publishing and distribution of information over networks virtually anywhere in the world. As a result, the scientific community is facing the problem of locating relevant or interesting information. To address the problem of information overload and to sift all available information sources for useful information, recommender systems or filtering systems have emerged. Generally, recommender systems are used online to suggest items that users find interesting, thereby, benefiting both the user and merchant. Recommender systems benefit the user by making him suggestions on items that he is likely to purchase and the business by increase of sales. Filtering information or generation of recommendatio ns by the recommender systems mimic the process of information retrieval systems by incorporating advanced profile building techniques, item/user representation techniques, filtering and recommendation techniques, and profile adaptation techniques. This paper addresses the application domain analysis, functional classification, advantages and disadvantages of various filtering and recommender systems.

74 citations

Journal ArticleDOI
TL;DR: In this paper, the authors highlight the role of bibliometrics in studying the dynamics of science and technology, and conclude that for wider acceptance among academicians and policy makers, bibliometric approach should ingrain itself within sociology and philosophy of science.
Abstract: This paper attempts to highlight the role of bibliometrics in studying the dynamics of science and technology. Tools and techniques available in bibliometrics to address and understand the complexities of scientific fields are explored. The paper concludes that for wider acceptance among academicians and policy makers, bibliometric approach should ingrain itself within sociology and philosophy of science in studying the different facets of science and technology. http://dx.doi.org/10.14429/dbit.24.1.3616

57 citations

Journal ArticleDOI
TL;DR: The study showed that users are not satisfied by overall usability level of these websites and few of them are satisfied with the available features.
Abstract: The study evaluates some selected university websites in Bangladesh from the usability perspectives. Two online automated tools, namely, html toolbox and web page analyser were used along with a questionnaire directed towards users of these websites. Tools were used to measure the websites’ internal attributes which can not be perceived by the users such as html code errors, download time, and size of the html pages. The questionnaire was developed and designed based on the 23 usability criteria divided into five categories. Each category deals with one usability aspect. The study showed that users are not satisfied by overall usability level of these websites and few of them are satisfied with the available features. However, there are some weaknesses in some aspects of the design, interface, and performances. Websites’ internal features are identified and suggestions are provided in the study to enhance the usability of these websites.

49 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202322
202213
202136
202050
201952
201858