• Journal of the Korean Society for information Management
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• v.36 no.2
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• pp.255-273
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• 2019

Recently, the table of contents (TOC) has been becoming increasingly accessible and utilized. The study conducted descriptive statistics and comparative analysis of the table of contents in terms of parts of speech and subject in text. For this purpose, this study chose the books of the social sciences field from acquisition lists of an academic library, obtained Dewey class numbers of target books from KERIS union catalog, and extracted TOC data from online bookstore. Morphological analysis was performed on each book titles and TOCs, and descriptive statistics and frequency analysis were carried out. As a result, nouns made up roughly half of the morphemes of titles or the TOCs. TOCs had about 50 times more nouns than titles. The percentage of unique nouns that appeared only in the table of contents is estimated to be 95.2% of the TOC's total nouns. The table of contents also showed a differences in its lengths depending on the field of social science.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.3
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• pp.109-133
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• 2015

The purpose of this study is to develop a model of the TOC (Table of Contents)-based research record system and to comparatively analyze its usability, in order to comprehensively and systematically manage and practically use the various research records generated from the entire process of research and development. For this purpose, the templates for technical recording and the components of each item were proposed to enable technical recording based on TOC, and structured contents were designed to organically connect between these TOC technical records and existing research records. Also, a database logical schema was developed to design a database, and a test collection was constructed on the basis of research records and TOC technical records. Finally, the model of research record system was constructed by designing TOC record search system and user interface including integrated search system. Based on this model, the usability assessment was performed by comparing the existing distributed general systems with the TOC-based research record system. As a result of the comparative analysis of these two systems, the TOC-based research record system showed generally higher utilization of research records than the general systems.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.2
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• pp.287-306
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• 2014

Many researches have been processing on research records management and way of service for efficient usage of various records from R&D process. Especially, a study on type analysis and structured method of research records is very important for efficient knowledge transfer system. This study, as a basic study for integrated research record management system, is about how to structuralize records efficiently reflecting features of research records. First, analysis and systematization of broad records type made from atomic energy technology R&D process were conducted. Second, efficient methods for contents structuralization in terms of usage to maximize usage of research records were studied. This research tried to structuralize all records based on TOC enable to link, search and use of data for reflecting of integrated and systematic structure which is a feature of research record.

• Journal of the Korean Society for information Management
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• v.37 no.1
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• pp.1-21
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• 2020

This study applied automatic classification using table of contents (TOC) text for 6,253 social science books from a newly arrived list collected by a university library. The k-nearest neighbors (kNN) algorithm was used as a classifier, and the ten divisions on the second level of the DDC's main class 300 given to books by the library were used as classes (labels). The features used in this study were keywords extracted from titles and TOCs of the books. The TOCs were obtained through the OpenAPI from an Internet bookstore. As a result, it was found that the TOC features were good for improving both classification recall and precision. The TOC was shown to reduce the overfitting problem of imbalanced data with its rich features. Law and education have high topic specificity in the field of social sciences, so the only title features can bring good classification performance in these fields.

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.900-911
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• 2009

This paper analyzes user preferences on the basic structure of digital textbook contents based on the PDF and HTML formats. This was conducted by analysing the data from an online survey on user preferences for the representative structures of the PDF- and HTML-based digital textbook contents that are currently used on the Web. Results show that in the PDF format, the structure with TOC(Table Of Contents) links on the left screen and the main content on the right was most preferred by 82% of the respondents. In terms of the viewing method, the one that presents one page of the textbook fitted to the width of the computer screen in a single-page view was regarded as the best. Similarly, in the HTML format, the structure with TOC links on the left frame and the main content on the right using 2-frames was revealed as the most preferred by 84% of the respondents. However, the structures of the PDF- and HTML-based digital textbook contents employed by most existing Web sites go against the users' preferences. Accordingly, for digital textbook development in the future, user preferences must be considered to allow students to read the contents more easily and conveniently.