• Journal of the Korean BIBLIA Society for library and Information Science
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• v.31 no.3
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• pp.213-234
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• 2020

The purpose of this study is to lay the foundation for the construction of an identification system by proposing descriptive items that can identify the creators who participated in the production of broadcasting video records. In order to uniquely identify the creators of broadcasting video records, a total of seven descriptive categories, including name, gender, date of birth, name identifier system, nationality, affiliated agencies, and major fields, were organized into three categories: individual, affiliation, and role. These categories were classified and categorized into two stages. Based on the proposed structure, a total of 10 basic facets and 14 sub-facets were constructed to establish a faceted structure for identifying the creators of broadcasting video records.

• Journal of Information Management
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• v.37 no.3
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• pp.61-84
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• 2006

In this paper, we proposed one of the methods for building thesaurus in Science & Technology domain and investigated its applicability as an inference service based on ontology. There exist as many building methods for thesaurus as its role and function, and actually many thesauri capable of ensuring the accuracy and efficiency in information search are being built by many experts. After examining the previous studies related to the principles of building thesaurus and relevant concept "facet", we focused on its characteristics and applied it to building thesaurus. The facet is classified into 2 categories, conceptual facet and relational facet. The latter contains 3 subcategories: category relational facet, attribute relational facet and thematic relational facet. The thesaurus for Science & Technology domain using facets can be applied as a web-based inference service. As a result, the three types of inference service, COP(Communities of Practice), Researcher Tracing and Research Map are provided by means of ontology, and can be applied for the Query Expansion.

• The Transactions of the Korea Information Processing Society
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• v.1 no.1
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• pp.23-37
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• 1994

In this paper, we design and implement the prototype system, and propose the Extended Faceted Classification. Scheme and the Hybrid Retrieval Method that support classifying the software components, storing in library, and efficient retrieval according to user's request. In order to designs the classification scheme, we identify several necessary items by analyzing basic classes of software components that are to be classified. Then, we classify the items by their characteristics, decide the facets, and compose the component descriptors. According to their basic characteristics, we store software components in the library by clustering their application domains and are assign weights to the facets and its items to describe the component characteristics. In order to retrieve the software components, we use the retrieval-by-query model, and the weights and similarity for easy retrieval of similar software components. As the result of applying proposed classification scheme and retrieval model, we can easily identify similar components and the process of classification become simple. Also, the construction of queries becomes simple, the control of the size and order of the components to be retrieved possible, and the retrieval effectiveness is improved.

• 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.

• The Transactions of the Korea Information Processing Society
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• v.3 no.4
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• pp.855-865
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• 1996

In this paper, we propose a automation of the classification process for reusable software component and construction method of structured software components library. In order to efficient and automatic classification of software component, we decide the facets to represent characteristics of software component by acquiring semantic and syntactic information from software components descriptions in natural language, and compose the software component identifier or automatic extract terms corresponds to each facets. And then, in order to construct the structured software components library, we sore in the near location with software components of similar characteristic according to semantic similarity of the classified software components. As the result of applying proposed method, we can easily identify similar software components, the classification process of software components become simple, and the software components store in the structured software components library.

• Proceedings of the Korea Multimedia Society Conference
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• 2002.05d
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• pp.901-906
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• 2002

This paper is a research about method, that is used in Rapid Prototyping system, that inserts and extracts watermark in STL(standard transform language) that has a 3D geometrical model. The proposed algorithm inserts watermark in the vertex domain of STL facet without the distortion of 3D model. If we make use of a established algorithm for watermarking of STL, a watermark inserted to 3D model can be removed by simple attack that change order of facet. The proposed algorithm has robustness about these attack. Experiment results verify that the proposed algorithm, to encode and decode watermark in STL 3D geometrical model, doesn't distort a 3D model at all. And it shows that the proposed algorithm is available.

• The KIPS Transactions:PartD
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• v.9D no.3
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• pp.417-426
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• 2002

Components are stored in a component repository for later reuse. Effective search and retrieval of desired components in a component repository is a very important issue. It usually takes a lot of time and efforts to gather information about a component, and its availability is essential to implement a repository. Software Component Descriptor proposed in CORBA 3 contains information about a component using an XML vocabulary. In this paper we extend Software Component Descriptor to be useful for the search of a component repository. We use a facet scheme as a search method of a component repository. And our new retrieval method supports queries connected with logical operators such as AND, OR, NOT, which were not supported with existing facet retrieval methods. Also we reduce the search complexity considerably.

• Journal of Korean Society of Archives and Records Management
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• v.22 no.2
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• pp.95-116
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• 2022

This study selected four institutions, namely the National Archives of Korea, the National Library of Korea, the National Institute of Korean History, and the Institute for Military History, that have collected the foreign records about Korea, providing web services for users. A total of 163,874 records were collected from these institutions to analyze the topics of the records, which resulted in a proposed topic map with 7 facets as top levels. This study suggests an integrated and visualized tool using a topic map to improve the searching service of foreign records about Korea from Korean institutions, especially the US records related to Korea.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.1
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• pp.135-144
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• 2024

In this study, we propose an automatic classification model for quantitative multidimensional analysis based on facet theory to understand public opinions and demands on major issues through big data analysis. Civil complaints, as a form of public feedback, are generated by various individuals on multiple topics repeatedly and continuously in real-time, which can be challenging for officials to read and analyze efficiently. Specifically, our research introduces a new classification framework that utilizes facet theory and political analysis models to analyze the characteristics of citizen complaints and apply them to the policy-making process. Furthermore, to reduce administrative tasks related to complaint analysis and processing and to facilitate citizen policy participation, we employ deep learning to automatically extract and classify attributes based on the facet analysis framework. The results of this study are expected to provide important insights into understanding and analyzing the characteristics of big data related to citizen complaints, which can pave the way for future research in various fields beyond the public sector, such as education, industry, and healthcare, for quantifying unstructured data and utilizing multidimensional analysis. In practical terms, improving the processing system for large-scale electronic complaints and automation through deep learning can enhance the efficiency and responsiveness of complaint handling, and this approach can also be applied to text data processing in other fields.

• Proceedings of the Korean Biblia Society for Library and Information Science Conference
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• 2004.05a
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• pp.27-46
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• 2004