• Journal of Korean Library and Information Science Society
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• v.32 no.3
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• pp.397-417
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• 2001

The purpose of this study is to suggest the guidelines for developing the effective classification scheme of woman studies on the Internet. In order to do that, fuve search engines and three subject web databases are analyzed based on the characteristics, problems of their classification schemes. In addition their classification schemes are measured in terms of coverage of subject fields and systematic logic. The results suggest the guidelines far classification scheme reflecting the characteristics of women's studies that ice interdisciplinary and multidisciplinary fields.

• Journal of Korean Library and Information Science Society
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• v.34 no.1
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• pp.43-65
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• 2003

Libraries have long experience of applying classification schemes to resources - chiefly books. The ultimate goals of classification are systematic shelving of books and ease of user's access. In order to achieve these goals, books about a particular field of knowledge should be shelved together and near each other. If not so, it is classification error. The focus of this study is, therefore, on analysing the classification error in Korea public libraries and suggesting some alternatives.

• Journal of the Korean Society for Library and Information Science
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• v.45 no.4
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• pp.309-326
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• 2011

There have been several milestones in the history of library classification but most of the schemes failed to meet the new challenges in the organisation of information. Dr. S. R. Ranganathan tried to revolutionise the whole thinking on classificatory approach, when he devised the Colon Classification (CC) in 1933. He developed the Colon Classification scheme with a sound theoretical background based on normative principles, Five laws of Library science, canons, etc. One important feature of CC is that, its use is not confined to information storage and retrieval alone. This paper presents an over view of different editions of the CC highlighting the salient features of the editions. Further the implication of Five Laws of Library Science has been described. The authors stressed that the features of such as greater hospitality, specificity and mixed notation has paved the way to design and develop the depth schedules on various micro level subjects and so far about 130 micro schedules have been published. The impressions by the leading LIS professionals during and after Ranganathan's time have been highlighted. The authors expressed the fear that when the library world would see the complete version of the seventh edition of CC? It may be due to lack of institutional support engaging in the research or financial constraints. The authors are of the opinion that any scheme to flourish needs a sound research body to bring out the revised editions as done in the case of Dewey Decimal Classification. The relevance of the CC in the contemporary world of Librarianship is discussed. Finally concludes that CC needs to be resuscitated as it is a precious national heritage; and still a force for the management of libraries.

• Journal of Information Management
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• v.36 no.4
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• pp.91-115
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• 2005

While the amount of information exchanged through internet has dramatically increased recently, certain inefficiencies still exist with regard to the storage, distribution, and retrieval of information. As a means of improving efficiency in accessing information, many search portals provide directory services to present organized guidance to information, based on the classification schemes. This study examines the classification activities practiced by the major search portals in Korea and makes some suggestions to improve the quality of directory services.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.272-282
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• 2022

Between 2014 and 2019, the US lost more than 2.1 billion USD to phishing attacks, according to the FBI's Internet Crime Complaint Center, and COVID-19 scam complaints totaled more than 1,200. Phishing attacks reflect these awful effects. Phishing websites (PWs) detection appear in the literature. Previous methods included maintaining a centralized blacklist that is manually updated, but newly created pseudonyms cannot be detected. Several recent studies utilized supervised machine learning (SML) algorithms and schemes to manipulate the PWs detection problem. URL extraction-based algorithms and schemes. These studies demonstrate that some classification algorithms are more effective on different data sets. However, for the phishing site detection problem, no widely known classifier has been developed. This study is aimed at identifying the features and schemes of SML that work best in the face of PWs across all publicly available phishing data sets. The Scikit Learn library has eight widely used classification algorithms configured for assessment on the public phishing datasets. Eight was tested. Later, classification algorithms were used to measure accuracy on three different datasets for statistically significant differences, along with the Welch t-test. Assemblies and neural networks outclass classical algorithms in this study. On three publicly accessible phishing datasets, eight traditional SML algorithms were evaluated, and the results were calculated in terms of classification accuracy and classifier ranking as shown in tables 4 and 8. Eventually, on severely unbalanced datasets, classifiers that obtained higher than 99.0 percent classification accuracy. Finally, the results show that this could also be adapted and outperforms conventional techniques with good precision.

• Journal of Korean Library and Information Science Society
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• v.36 no.4
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• pp.133-153
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• 2005

This study is to analyze and suggest the KDC's facet structure. KDC is using the Decimal Classification's facet structure. New suggestions are : Clearly use standard subdivisions and add instruction like 'Add to base number $\~$ notation $\~$ from table $\~$' : auxiliary tables contents are need to revise and expand to make a add table found in schedules and provide numbers to be added to designated schedules numbers are necessary.

• Journal of the Korean Society for Library and Information Science
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• v.23
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• pp.207-261
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• 1992

The purpose of this study is (1) to design and test a database which can be automatically classified, and (2) to generate automatic classification number by processing the keywords in titles using the code combination method of Colon Classification(CC) as well as an automatic recognition of subjects in order to develop an automatic classification system (Auto BC System) based on CC which can be applied to any research library. To conduct this study, 1,510 words in the fields of agricultrue and medicine were selected, analized in terms of [P], [M], [E], [S], [T] employed in CC, and included in a database for classification. For the above-mentioned subject fields, the principle of an automatic classification was specified in order to generate automatic classification codes as well as to perform an automatic subject recognition of the titles included. Whenever necessary, editing, deleting, appending and reindexing of a database can be made in this automatic classification system. Appendix 1 shows the result of the automatic classification of books in the fields of agriculture and medicine. The results of the study are summarized below. 1. The classification number for the title of a book can be automatically generated by using the facet principles of Colon Classification. 2. The automatic subject recognition of a book is achieved by designing a database making use of a globe-principle, and by specifying the subject field for each word. 3. The automatic subject-recognition of input data is achieved by measuring the number of searched words by each subject field. 4. The combination of classification numbers is achieved by flowcharting of classification formular of each subject field. 5. The efficient control of classification numbers is achieved by designing control codes on the database for classification. 6. The automatic classification by means of Auto BC has been proved to be successful in the research library concentrating on a Single field. The general library may have some problem in employing this system. The automatic classification through Auto BC has the following advantages: 1. Speed of the classification process can be improve. 2. The revision or updating of classification schemes can be facilitated. 3. Multiple concepts can be expressed in a single classification code. 4. The consistency of classification can be achieved with the classification formular rather than the classifier's subjective judgement. 5. A user's retrieving process can be made after combining the classification numbers through keywords relating to the material to be searched. 6. The materials can be classified by a librarian without subject backgrounds. 7. The large body of materials can be quickly classified by means of a machine processing. 8. This automatic classification is expected to make a good contribution to design of the total system for library operations. 9. The information flow among libraries can be promoted owing to the use of the same program for the automatic classification.

• Journal of the Korean Society for Library and Information Science
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• v.47 no.1
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• pp.57-79
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• 2013

The aim of this study is to reveal the categorizational and classificatory features of the subject-based classification (SBC) as a subject organization system. For this purpose, 12 SBC schemes of public libraries were selected and a comparative analysis was made between the traditional classification system, such as DDC and SBC in terms of the categorizational aspects, and canons for the classification. As a result, there were significant and considerable differences between the two types of classifications. This study concluded that SBC cannot be clearly explained and understood without a consideration of its essential and distinctive characteristics as a classification scheme.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.1
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• pp.319-340
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• 2015

The purpose of this study is to provide a plan of classification scheme to efficiently manage the collected cultural resource in Asian Culture Information Agency (ACIA) of Asian Culture Complex. The characteristic and category of the cultural resources are identified after studying objectives and acquisition policies of ACIA. This paper in here compares classification schemes such as HRAF scheme, UNESCO cultural framework, Folklore Archive scheme, and classification scheme of Academy of Korean Studies. On the basis of it, this study proposes the principle and criterion of the new classification scheme in ACIA. The new classification scheme is classified as the cultural, social, and natural area in sequence. The number of main classes is set up 16 items.

• Journal of Korean Library and Information Science Society
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• v.33 no.3
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• pp.393-413
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• 2002

This study is to suggest a classification system to classify the agricultural information resources on the internet. In the first part, I analyzes KDC's class 520(agriculture science). The second part compares the agricultural classes of Yahoo! Korea with those of Empas search engine. The third part compares the classes of AFFIS with Agri_Directory. Based on the comparative analysis, it proposes a classificatory system for the agricultural information resources on the internet.