• Journal of Korean Society of Archives and Records Management
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• v.12 no.2
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• pp.29-50
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• 2012

This study aims to analyze electronic records research domains and trends and to suggest future direction of electronic records research in Korea. One hundred and sixty one articles published in seven domestic journals from 1999 to 2011 were statistically analysed to find out the productivity of electronic records research. Analysis of intellectual structure using descriptor profiling and author profiling as a technique of text mining were performed with those same papers. Some proposals on the future research direction in this field were made.

• Journal of the Korean Society for information Management
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• v.24 no.4
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• pp.285-303
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• 2007

This study aims to explore a new technique making complementary linkage between controlled vocabularies and uncontrolled vocabularies for analyzing a research domain. Co-word analysis can be largely divided into two based on the types of vocabulary used: controlled and uncontrolled. In the case of using controlled vocabulary, data sparseness and indexer effect are inherent drawbacks. On the other case, word selection by the author's perspective and word ambiguity. To complement each other, we suggest a descriptor profiling that represents descriptors(controlled vocabulary) as the co-occurrence with words from the text(uncontrolled vocabulary). Applying the profiling to the domain of information science implies that this method can complement each other by reducing the inherent shortcoming of the controlled and uncontrolled vocabulary.

• Bulletin of the Korean Chemical Society
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• v.34 no.9
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• pp.2680-2684
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• 2013

Protein kinases (PKs) are an important source of drug targets, especially in oncology. With 500 or more kinases in the human genome and only few kinase inhibitors approved, kinase inhibitor discovery is becoming more and more valuable. Because the discovery of kinase inhibitors with an increased selectivity is an important therapeutic concept, many researchers have been trying to address this issue with various methodologies. Although many attempts to predict the activity and selectivity of kinase inhibitors have been made, the issue of selectivity has not yet been resolved. Here, we studied kinase selectivity by generating predictive models and analyzing their descriptors by using kinase-profiling data. The 5-fold cross-validation accuracies for the 51 models were between 72.4% and 93.7% and the ROC values for all the 51 models were over 0.7. The phylogenetic tree based on the descriptor distance is quite different from that generated on the basis of sequence alignment.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.65 no.4
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• pp.485-495
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• 2020

Melon (Cucumis melo L.), one of the most important fruit crop species, is cultivated worldwide. In this study, a total of 206 melon accessions conserved at the National Agrobiodiversity Center (NAC) in RDA were characterized for nine morphological characteristics according to the NAC descriptor list. In addition, to confirm the genetic composition of each melon accession, genetic profiling was performed using 20 SSR markers. Among the 206 melon accessions, 159 (77.2%) were collected from Asia. The color of fruit flesh and skin were mostly 'white' (56.0%) and 'green' (49%), respectively. Days to female flowering (FD) and maturity (MD) of the accessions ranged from 58 to 72 and 17 to 63, respectively. The fruit length and width of the accessions ranged from 6.0 to 29.3 and 3.6 to 17.2 cm, respectively. The sugar content (SU) ranged from 2.5% to 13.2% with an average of 7.0%. In correlation analysis, SU showed positive and negative correlations with MD and FD, respectively. The accessions were classified into four clusters by cluster analysis. From the results of genetic profiling using 20 SSR markers, three accessions (K189118, K100486, and K190292) were expected to be inbred lines among 206 melon accessions. These results could expand the knowledge of the melon germplasm, providing valuable material for the development of new melon varieties to suit consumer tastes.