• Journal of KIISE:Software and Applications
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• v.31 no.3
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• pp.353-360
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• 2004

Ontology defines the terms used in a specific domain and the relationships between them and represents them as hierarchical taxonomy. The present paper proposes a semi-automatic domain-specific ontology construction method based on terminology Processing. For this purpose, it presents an algorithm to extract terminology according to the noun/suffix pattern of terminology in domain texts and find their hierarchical structure. The experiment was carried out using pharmacy-related documents. As singleton terminology with noun/suffix were identified, the average accuracy was 92.57%. In case of multi-word terminology, the average accuracy was 66.64%. The constructed ontology forms natural semantic clusters with based on suffices and semantic information, so can be utilized in approaches to specific knowledge such as information look-up or as the base of inference to improve searching abilities.

• Journal of the Korean Society for Library and Information Science
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• v.35 no.4
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• pp.141-160
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• 2001

This study is to develop a new system for conducting the information retrieval automatically. The system in this study is programmed by Delphi 4.0(PASCAL) and consists of automatic indexing, clustering technique, establishing and expressing term hierarchic relation, and automatic information retrieval technique. Thus this browser system can automatically control all the processes of information searching such as representation, generation and extension of queries and construction of searching strategy and feedback searching.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.547-549
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• 2003

본 논문에서 는 특정 도메인에서 사용되는 정보들과 그들의 관계를 정의해놓은 온톨로지를 반자동으로 구축하기 위하여 특정 도메인의 코퍼스에 있는 텍스트의 분석 결과를 이용하는 방안을 제시하고자 한다. 이를 위하여, 실험 도메인 내에서 빈번히 출현하는 전문용어들을 접미사와의 결합형태에 따라 추출하고 계층구조를 설정하는 알고리즘을 제안하고 약품매뉴얼을 대상으로 실험을 행하였다. 구축된 온톨로지는 자연스런 의미군을 형성하면서 풍부한 의미정보를 포함함으로써 정보검색 등의 전문적인 지식의 접근에 유용하게 쓰일 수 있으며, 검색의 성능을 향상시키기 위한 추론의 기반으로도 이용할 수 있다.

• Journal of the Korean Society for information Management
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• v.18 no.2
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• pp.203-230
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• 2001

The purpose of this study is to develop a document clustering model for automatic classification of knowledge. Two test collections of newspaper article texts and journal article abstracts are built for the clustering experiment. Various feature reduction criteria as well as term weighting methods are applied to the term sets of the test collections, and cosine and Jaccard coefficients are used as similarity measures. The performances of complete linkage and K-means clustering algorithms are compared using different feature selection methods and various term weights. It was found that complete linkage clustering outperforms K-means algorithm and feature reduction up to almost 10% of the total feature sets does not lower the performance of document clustering to any significant extent.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.640-642
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• 2004

온톨로지는 주어진 응용 도메인의 특성을 나타내는 관련 개념들의 집합과 정의 그리고 그들간의 관계로 이루어진다. 본 논문에서는 코퍼스에 있는 텍스트의 분석 결과를 이용한 온톨로지를 구축방안과 이를 문서의 검색에 사용함으로써 해당정보가 있는 자원을 찾는 정확도를 향상시키는 방안을 제시하고자 한다. 이를 위하여, 실험 도메인의 문서 내에 출현한 전문 용어들의 결합형태를 분석하여 계층구조를 도출해내는 알고리즘을 제안하며 구축된 온톨로지를 문서의 검색에 응용하였다. 제안된 온톨로지는 전통적인 문서검색의 인덱스 파일과 같은 역할을 하게 되며, 질의로 들어온 키워드뿐 아니라 그에 대한 온톨로지 내 하위어들에 기반하여 검색을 수행함으로써 많은 의미정보를 포함하고 있으며 검색의 정확도를 높일 수 있었다.

• Journal of Korean Society of societal Security
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• v.4 no.2
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• pp.29-40
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• 2011

The objective of this paper is to develop an intelligent decision support system that is able to advise disaster countermeasures and degree of incidents on the basis of the collected and analyzed signs of disasters. The concepts derived from ontology, text mining and case-based reasoning are adapted to design the system. The functions of this system include term-document matrix, frequency normalization, confidency, association rules, and criteria for judgment. The collected qualitative data from signs of new incidents are processed by those functions and are finally compared and reasoned to past similar disaster cases. The system provides the varying degrees of how dangerous the new signs of disasters are and the few countermeasures to the disaster for the manager of disaster management. The system will be helpful for the decision-maker to make a judgment about how much dangerous the signs of disaster are and to carry out specific kinds of countermeasures on the disaster in advance. As a result, the disaster will be prevented.