• Journal of the Korean Society for information Management
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• v.22 no.3 s.57
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• pp.37-53
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• 2005

The terminology management is absolutely necessary for maintaining the efficiency of thesaurus. This is because the creating, differentiating, disappearing, and other processes of the descriptor become accomplished dynamically, making effective management of thesaurus a very difficult task. Therefore, a device is required for accomplishing methods to construct and maintain the thesaurus. This study proposes the methods to construct the thesaurus management using the basic elements of a topic map which are topic, occurrence, and association. Second, the study proposes the methods to represent the basic and specific instances using the systematic mapping algorithm and merging algorithm. Also, using a hub document as a standard, this study gives the methods to expand and subsitute the descriptors using the topic type. The new method applying fixed concept for double layer management on terms is developed, too. The purpose of this method is to fix the conceptual term which represents independent concept of time and space, and to select the descriptor freely by external information circumstance.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2009.06a
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• pp.519-520
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• 2009

• Journal of the Korean Society for Library and Information Science
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• v.40 no.2
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• pp.415-434
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• 2006

This study aim to develop a classification system to classify the descriptors, which is been in korean literatures. Firstly this classification structure is categorized on six facets and the classification system is constructed on a deductive method based on korean literature knowledge. The study compared the classification system with various thesaurus's classification system in humane studies and by the comparison, the classification system of korean literature's terms find out having some merits as using the facet method. On account of these merits the classification system has achieved a consistency of categorization independently and reduced a complexity of classification structure. And by categorizing the common categories, the study has reduced the size of schedules. Finally, the classification system has advanced the structure in the process of classifying the descriptors.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.21 no.3
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• pp.77-89
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• 2010

The purpose of this study is to develop a faceted classification scheme linked with a thesaurus(FCT) to more effectively organize documents according to subject, by transforming the current Korean Decimal Classification system(KDC) into a faceted classification scheme and linking it with Korea’s National Library Subject Headings. This combination should represent complex subjects more clearly, allow users to change citation order, and facilitate the addition of new subjects to the KDC scheme. Furthermore, by linking a thesaurus to the classification scheme, it is possible to share facets and expand the conceptual level of headings through the thesaurus descriptors.

• 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.23 no.3 s.61
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• pp.69-89
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• 2006

Several performance factors which have applied to the automatic indexing with controlled vocabulary and text categorization based on Rocchio algorithm were examined, and the simple method for performance improvement of them were tried. Also, results of the methods using Rocchio algorithm were compared with those of other learning based methods on the same conditions. As a result, keeping with the strong points which are implementational easiness and computational efficiency, the methods based Rocchio algorithms showed equivalent or better results than other learning based methods(SVM, VPT, NB). Especially, for the semi-automatic indexing(computer-aided indexing), the methods using Rocchio algorithm with a high recall level could be used preferentially.

• Journal of Korean Library and Information Science Society
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• v.44 no.3
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• pp.489-512
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• 2013

This study suggests the establishment and applications of the News core thesaurus for efficient indexing and searching of news information. News core thesaurus was constructed as macrothesauri which can cover all of news subjects and then has microthesauri like politics, economy, society, culture, etc. as its subsets. In this research, News core thesaurus embodied 2,012 descriptors and 74 non-descriptors by SKOS(Simple Knowledge Organization System). It suggests measures that treat only special subjects in detail in weekly newspaper or biweekly newspaper with little information and special subjects, which is not daily newspaper, and use each microthesauri by merging or integrating in huge news archives or portal sites.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.4
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• pp.812-820
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• 2012

In this paper, multiple pedestrians tracking system using Histogram of Oriented Gradient and occlusion detection is proposed. The proposed system is applicable to Intelligent Surveillance System. First, we detect pedestrian in a image sequence using pedestrian's feature. To get pedestrian's feature, we make block-histogram using gradient's direction histogram based on HOG(Histogram of Oriented Gradient), after that a pedestrian region is classified by using Linear-SVM(Support Vector Machine) training. Next, moving objects are tracked by using position information of the classified pedestrians. And we create motion trajectory descriptor which is used for content based event retrieval. The experimental results show that the proposed method is more fast, accurate and effective than conventional methods.

• Journal of Broadcast Engineering
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• v.18 no.2
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• pp.319-322
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• 2013

Image retrieval research activity has moved its focus from global descriptors to local descriptors of feature point such as SIFT. MPEG is Currently working on standardization of effective coding of location and local descriptors of feature point in the context mobile based image search driven application in the name of MPEG-7 CDVS (Compact Descriptor for Visual Search). The extracted feature points consist of two parts, location information and Descriptor. For efficient image retrieval, we proposed a novel method that is gradual block-based efficient lossy location coding to compress location information according to distribution in images. From experimental result, the number of average bits per feature point reduce 5~6% and the accuracy rate keep compared to state of the art TM 3.0.

• Journal of the Korea Society of Computer and Information
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• v.18 no.2
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• pp.95-105
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• 2013

The music education improves the creative talent, social skills and academic achievement of the students. For the efficient music education, it is requested to develop the collaborative educational learning tools, especially electronic collaborators suitable to the leaner's study patterns and speed. In this paper, we propose a new method to develop a PC-based self learning software for the flute performance using templates and descriptors to make the contents form and substance. Our proposed method can allow user to modify the descriptors to match the contents to his level. We implemented a PC-based self learning software for the flute performance compactly and a feasibility test showed the efficiency of our proposed method to construct a self learning tool to play the flute and the tool can be utilized for the beginner to learn playing flute.