• Journal of Information Management
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• v.30 no.2
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• pp.31-52
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• 1999

This paper is done by studying two experimental cases which utilize the stochastic theory of Markov Chains, which is used for forecasting the future and by analyzing recent trend of studies. Since the study of Markov Chains is not applied to the Informetrics to a high degree in Korea. It is also proposed that there is a necessity for further study on Markov Chains and its activation.

• International Journal of Knowledge Content Development & Technology
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• v.12 no.1
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• pp.17-34
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• 2022

This informetrics study was conducted to find out the distribution of articles and authors that published in African Journal of Library, Archives and Information Studies [AJLAIS]) from 2009 to 2018; considering the year-wise growth of research articles; authorship pattern and collaboration ratio; subject and geographical distributions of authors; and authors' productivity level. A descriptive informetrics research design was adopted. Quota sampling technique was used to select all the articles published within the ten-year period. Data collected through a self-designed checklist was analyzed using frequency count and percentage. The findings revealed that 141 articles, contributed by 266 authors were published by AJLAIS during the period. An annual average growth of 1.20% was recorded. Overall year-wise authorship pattern revealed that majority of articles (62.41%) published in AJLAIS were multiple authored. Also, articles on Informetrics and ICT dominated the journal. Some subject areas not covered were identified such as: indexing and serial collections management. Average collaborative index across the 10-year period for the journal was 0.62. South Africa and Nigeria were the two major prolific contributors to AJLAIS, just as evidence-based research papers of survey type (65.25%) were the most common to the journal. There should be increased numbers of articles in each edition over the coming years, and awareness should be created by the publishers to familiarize the researchers with the publishing requirements of the journal. Also, LIS researchers should concentrate more on areas usually left untouched by previous studies. The study is original as no other similar study was found on publication pattern of articles in AJLAIS covering a ten year period of 2009-2018. The findings of the study will also serve as a feedback mechanism for the Publisher of the Journal and LIS researchers on how to improve the journal and LIS research in general.

• Journal of Information Management
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• v.39 no.4
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• pp.241-257
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• 2008

This study describes the growth, contribution and impact of research carried out by University of Mysore scientists in science and technology. It indicates the patterns of communications of university scientists and studies the extent of concentration and scattering of their research output in different journals. It also analyses the strong and weak areas of university research, their growth rate and impact in terms of average citations received. It also studies the output and impact of research under different existing subject departments of the university and analyses the international collaborative share of research output at the overall level as well as across various subjects, indicating also the major countries involved in international collaboration. It describes the share and characteristics of select high cited papers and the top productive authors.

• Journal of Scientific & Technological Knowledge Infrastructure
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• s.13
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• pp.85-94
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• 2004

최근 정보와 지식의 폭발적인 증가, 인터넷과 IT 기술의 발달로 어떻게 하면 핵심적인 정보를 찾아내고 그러한 지식이 어떻게 발전할 것인지에 대한 연구의 일환으로 semantic web, DB mining 등의 다양한 연구가 진행되고 있다. 이를 위해서 ontology 등 지식의 구조화작업 등이 큰 관심을 끌고 있다. 또 이러한 지식을 디지털 화하고 계량화해서 새로운 지식을 창출하는 방법들인 informatics, informetrics 등의 분야도 급속히 관심을 끌고 있다.

• Journal of Technology Innovation
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• v.17 no.2
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• pp.109-130
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• 2009

As recently the interest in the future industry grows high, the demand for forecasting the future shape of science and technology, especially exploring 'weak signals' of changes in science and technology, increases as well. The 'weak signals' means that currently they are uncertain and abnormal signals, but are preliminary signals which might lead future changes. Accordingly they can provide important clues to the future forecast. The study of 'weak signals' has its significance in providing important clues to the projection of the future technology earlier. As it has not a long history from its concept to exploration methods to utilization, more intensive study is required. Exploring 'weak signals' has been conducted mainly through the information analysis by experts with a high level of intelligence and sense. However, such an analysis is difficult and broad in scope, and furthermore the interpretation of analysis results is very limited, relying primarily on the decision of experts themselves. The purpose of this study is to provide a more objectified way to support these expert-based tasks. It derives quantitative results from non-structured article information and provides a logical basis for detecting the signals based on the results.

• Journal of Information Management
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• v.33 no.4
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• pp.107-128
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• 2002

The purpose of this study is developing a information support system for R&D decision making to maximize economic results of the R&D. This system is composed of studying the model of work flow for R&D decision making, analyzing a technology information, connecting with the databases from KISTI and others, and valuing R&D technology on line. Especially in the case of technology valuation, this system is combined with the valuation model which supports knowledge information for helping more objective estimation.

• Journal of Information Management
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• v.35 no.1
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• pp.93-112
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• 2004

This study is intend to analyze the cited patent life time of US patent data via more objective way. It is based on exploratory approach which is one of various methods for technology forecasting. The life spans of cited patents of specific technological field are deduced from using informetric analysis of USPA database of KISTI, which is composed of US patent data covered from 1972 to present. The statistics of the results may help to estimate the economic life span of the specific technological area for technology valuation.

• Journal of Information Science Theory and Practice
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• v.2 no.2
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• pp.16-32
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• 2014

As Topic Modeling has been applied in increasingly various domains, the difficulty in naming and characterizing topics also has been recognized more. This study, therefore, explores an approach of combining text mining with network analysis in a multi-step approach. The concept of synchronization was applied to re-assign the top author keywords in more than one topic category, in order to improve the visibility of the topic-author keyword network, and to increase the topical cohesion in each topic. The suggested approach was applied using 16,548 articles with 2,881 unique author keywords in construction and building engineering indexed by KSCI. As a result, it was revealed that the combined approach could improve both the visibility of the topic-author keyword map and topical cohesion in most of the detected topic categories. There should be more cases of applying the approach in various domains for generalization and advancement of the approach. Also, more sophisticated evaluation methods should also be necessary to develop the suggested approach.

• Journal of the Korean Society of Propulsion Engineers
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• v.17 no.5
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• pp.132-139
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• 2013

Liquid-propellant rocket engines are widely used all over the world, thanks to their high performances thrust, in particular high thrust-to-weight ratio. The sucess rate of the launching of the liquid propulsion is similar to the solid one even though it has more complex mechanical system. In general, liquid propulsion is seemed as a mature technology, the requirements of a renewed interest for space exploration has led to the development of a family of new engines, with more design margins, simpler to use and to produce associated with a wide variety of thrust and life requirements.

• Journal of the Korean Society for information Management
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• v.27 no.2
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• pp.129-155
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• 2010

In recent years, the changes in information technology have been so dramatic and the rate of changes has increased so much that information science research rigorously evolves with the passage of time and proliferates in diverging research directions dynamically. The aims of this study are to provide a global overview of research trends in information science and to trace its changes in the main topics over time. The study examined the topics of research articles published in JASIST between 1985 and 2009 and identified its changes during five 5 year periods. The study found that the most productive area has consistently been 'Information Retrieval', followed by 'Informetrics', 'Information Use and Users', 'Network and Technology', and 'Publishing and Services'. Information retrieval is a predominant core area in Information Science covering computer-based handling of multimedia information, employment of new semantic methods from other disciplines, and mass information handling on virtual environments. Currently Informetric studies shift from finding existing phenomena to seeking valuable descriptive results and researchers of information use have concentrated especially on information-seeking aspects, so adding greater sophistication to the relatively simple approach taken in information retrieval.