• International Journal of Knowledge Content Development & Technology
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• v.7 no.1
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• pp.101-120
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• 2017

Healthcare professionals have edited many health questions (HQs) and their answers for healthcare consumers on the Internet. The HQs provide both readable and reliable health information, and hence retrieval of those HQs that are relevant to a given question is essential for health education and promotion through the Internet. However, retrieval of relevant HQs needs to be based on the recognition of the intention of each HQ, which is difficult to be done by predefining syntactic and semantic rules. We thus model the intention recognition problem as a text classification problem, and develop two techniques to improve a learning-based text classifier for the problem. The two techniques improve the classifier by location-based and area-based feature weightings, respectively. Experimental results show that, the two techniques can work together to significantly improve a Support Vector Machine classifier in both the recognition of HQ intentions and the retrieval of relevant HQs.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.01a
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• pp.229-232
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• 2012

전자여권에 적용된 보안기술 중 BAC(Basic Access Control)는 전자여권의 IC칩에 내장된 여권 소지자의 신상정보를 여권을 제출한 상태에서만 확인할 수 있도록 하는 접근제어 메커니즘이다. 하지만 BAC에 사용되는 비밀키의 생성을 위해 전자여권 내의 MRZ 정보를 구성하고 있는 여권 소지자의 신상정보가 사용되기 때문에 비밀키에 대한 전수조사 공격에 취약할 수 있다. 이에 본 논문에서는 한국 전자여권의 BAC 과정에서 사용되는 비밀키의 보안성을 분석한다.

• Journal of the Korean Society for information Management
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• v.1 no.1
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• pp.78-99
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• 1984

In this paper, the automatic keyword classification which is one of the automatic construction methods of retrieval thesaurus is experimented to the Korean language on the basis that the use of retrieval thesaurus would increase the efficiency of information retrieval in the natural language retrieval system searching machine-readable data base. Furthermore, this paper proposes the application methods. In this experiment, the automatic keyword classification was based on the assumption that semantic relationships between terms can be found out by the statistical patterns of terms occurring in a text.

• Journal of Information Science Theory and Practice
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• v.1 no.1
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• pp.69-82
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• 2013

Although MAchine Readable Cataloging (MARC) and Functional Requirements for Bibliographic Records (FRBR) are currently the most broadly used bibliographic structures for generating bibliographic data in the library community, each has its own weaknesses in describing information resources in diverse media. If the MARC format could be implemented in a structure that reflects the multi-layered characteristics of FRBR, its use could address current problems and limitations in resource description. The purpose of this research is to propose an alternative approach that can integrate the heterogeneous bibliographic structures of MARC and FRBR through the applications of facet and facet analysis. The proposed faceted data model is expected to function as a conceptual structure that can mediate between MARC data elements and FRBR attributes in order to utilize these structures in a more reliable and comprehensive way.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.07a
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• pp.385-388
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• 2012

전자여권에 적용된 보안기술인 BAC(Basic Access Control)는 IC칩에 저장된 여권 소지자의 신상정보를 여권을 제출한 상태에서만 확인할 수 있도록 하는 접근제어 기술이다. 하지만 BAC에 사용되는 비밀키의 생성을 위해 여권 소지자의 신상정보가 사용되기 때문에 비밀키에 대한 전수조사 공격에 취약할 수 있다. 이에 본 논문에서는 한국 전자여권의 BAC 과정에서 생성되는 비밀키의 취약성을 분석하고, 전수조사 공격에 대한 보안성을 강화하기 위한 방법을 제안한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.936-939
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• 2014

전자여권(e-Passport)은 새로운 형태의 출입국 관리 시스템으로써 기존 여권보다 보안 기능이 강화 되고 자동화된 출입국 관리를 할 수 있다는 장점으로 인해 전 세계적으로 도입하기 위한 연구가 활발히 진행되고 있다. 본 연구에서는 전자여권 인식장치로부터 전달 받은 기계판독영역(MRZ : Machine Readable Zone) 이미지의 문자 인식률 향상을 위해 정점 샘플링 방법을 적용하여 문자 인식 결과의 오류를 줄이고자 하였다. 실험 환경에서 오류가 가장 많았던 숫자'1'과 영문'T'에 대해 제안 방법을 적용 하였다. 실험 결과, 제안 방법 적용 전보다 입력 이미지의 모든 문자를 정확히 인식한 이미지의 숫자가 4.5% 증가하였고, 각각의 글자에 대한 전체 오차율은 0.242% 감소하였다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.10a
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• pp.632-636
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• 2005

Design process model represents how a design project proceeds. It encompasses the individual activities of design, their precedence relationships, and the relevant information related to each activity. In contrast to the conventional visual representation methods, ontology-based process model is machine-readable, and therefore it can be implemented in a software system without repeating the whole steps of coding, compiling and link. This paper proposes a framework for design process ontology that defines the relevant objects and attributes in the design process as well as the relationships between them. An example for injection mold design process is shown to explain the substance of the design process model.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.547-550
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• 2014

국내 공공도서관에서는 잘못 분류된 도서의 서가(bookshelf) 배치로 인해 이용자의 불편과 해당 도서관의 도서분류체계와의 불일치 등으로 도서관리에 어려움을 겪고 있다. 또한 자동 도서분류를 위한 기계학습 등 다양한 알고리즘의 연구가 진행되어 왔으나 적은 학습데이터에서의 분류효과 향상에 한계가 있었다. 이에 이 연구에서는 KORMARC(Korea Machine Readable Cataloging) 의 색인어(키워드) 정보를 결합한 확장된 나이브베이지안 알고리즘을 제안하였다. 색인어 정보는 일반적으로 도서검색시스템에서 검색 효과를 높이기 위해 이용되고 있으며 실제 공공도서관에서의 실험을 통해 도서량이 적은 경우에 보다 높은 분류효과를 얻을 수 있음을 실험 평가하였다.

• International Journal of Contents
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• v.12 no.2
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• pp.24-30
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• 2016

Ontology is known to be one of the most important technologies in achieving semantic web. It is critical as it represents the knowledge in a machine readable state. World Wide Web Consortium (W3C) has been contributing to the development of ontology for the last several years. However, the recommendation of W3C left out HTML despite the massive amount of information it contains. Also, it is difficult and time consuming to keep up with all the technologies especially in the case of constructing ontology. Thus, we propose a module and methods that reuse HTML documents, extract necessary information from HTML tags and mapping it to OWL 2. We will be combining two kinds of approaches which will be the structural refinement for making an ontology skeleton and linguistic approach for adding detailed information onto the skeleton.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.4
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• pp.111-134
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• 2021

Recently, the preparation and submission of DMP is gradually becoming compulsory, centering on domestic government-funded research institutes. However, as DMP preparation is described in written or free text, there is a problem that research data management cannot be properly explained due to non-standardization and insufficient preparation in terms of standards, formats, and management. Therefore, in this study, a case study was conducted on a machine-readable DMP that can be automatically generated and maintained by a machine, and a method for applying maDMP was proposed. Examples of maDMP investigated included RDCS, Argos, Haplo Repository, and DMap. In addition, the use of permanent identifiers, application of controlled vocabulary, and application of semantic technologies such as ontology can be mentioned as possible ways to apply maDMP.