• Journal of the Korean Society for information Management
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• v.21 no.4 s.54
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• pp.251-263
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• 2004

For question-answering system, question analysis module finds the question points from user's natural language questions, classifies the question types, and extracts some useful information for answer. This paper proposes a question type classifying technique based on focus words extracted from questions and word semantic information, instead of complicated rules or huge knowledge resources. It also shows how to find the question type without focus words, and how useful the synonym or postfix information to enhance the performance of classifying module.

• Journal of the Korean Society for information Management
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• v.22 no.1 s.55
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• pp.125-144
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• 2005

This study uncovered ambiguity and inconsistency of the semantic relationships of the existing thesaurus by analyzing the concept relationships of AGROVOC and proposed the concept relationships of ontology in partially overcoming these limitations. By the results of analyzing the concept relationships, the study proposed conceptual model as most important part of conecept relationships of ontology and semantically developed concept relationship types. These relationships partially can perform inferences and must be useful for information knowledge system based on more exact semantic relationships. Also the study found out new relationship types and they will be useful for extension of the concept relationships of existing thesaurus. And these relationship types showed that they were useful for the existing thesaurus as Legal Thesaurus.

• KOMUNHWA
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• no.60
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• pp.3-25
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• 2002

Dolmens in the phase of Songgookri culture are found or confirmation the examples for the elements of dolmens culture Is increasing In recently researched some relics. Although the number of relics showing this aspect is very few, I think that it is possi

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.73-81
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• 2020

The purpose of this study was to analyze the recognition of 20s~30s' young people in marathon activities using Q methodology. P-sample was composed of 30 young marathoners. The selected Q samples were arranged in the normal distribution form. The collected data were analyzed by factor analysis through varimax rotation using QUANL 1.2PC program. Three distinct were emerged throughout the analysis: the first type is 'the type of giving special meaning.' which is improving their physical fitness, healthy and enjoying runner's high. The second type is 'the enjoying leisure' which is releasing stress and enjoying their common interest.' The last type is 'the type of enjoying crew activity.' which is enjoying marathon festival and managed their healthy and life. This result hints that young marathoners' sports culture trends.

• The Korean Chronic Disease News
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• no.288
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• pp.25-25
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• 2005

• Proceedings of the Korean Information Science Society Conference
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• 2004.10a
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• pp.178-180
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• 2004

질의 응답(Question Answering) 시스템은 질의에서 요구하는 정답 유형(Answer tyype) 및 질의에 사용된 용어를 적용하여 보다 정확한 답을 추출하고자 한다. 그러나 질의에 사용된 용어들이 문서의 정답문장에 그대로 사용되지 않고 같은 의미의 다른 어휘로 출현하기도 하며, 혹은 다른 문법적 정보를 가진 카테고리로 등장하여 정답 추출에 어려움이 따른다. 따라서, 본 논문은 질의별 카테고리 개념 리스트를 구축하여 효과적인 의미적 질의 확장 방법론을 제안한다. 제안된 방법은 먼저 질문 문장의 패턴 린 질의 정보 유형을 파악하여 질의 카테고리 및 카테고리별 개념 리스트를 구축한다. 그런 후 구축된 질의 개념 카테고리 및 리스트를 활용하여 질의 유형을 학습하고, 새로운 질의가 입력되면 해당 개념 카테고리로 분류한 후, 개념 리스트를 기반으로 개념별 질의 확장을 수행한다. 제안된 시스템의 성능 명가를 위하여, TREC-9의 질의와 TREC 문서 중 1991년도 WSJ(Wall Street Journal) 42,654건을 대상으로 실험한 결과 질의 확장을 수행하지 않는 시스템의 경우 MRR(Mean reciprocal ratio) 측정에서 0.223의 결과를 보인 반면 제안된 시스템의 경우 0.50의 향상된 결과를 보였다.

• The Journal of the Korea Contents Association
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• v.6 no.3
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• pp.12-19
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• 2006

In this paper, we describe a deep analysis of question for question answering system. It is difficult to offer the correct answer because general question answering systems do not analyze the semantic of user's natural language question. We analyze user's question semantically and extract semantic features using the semantic feature extraction grammar and characteristics of natural language question. They are represented as semantic features and grammatical morphemes that consider semantic and syntactic structure of user's questions. We evaluated our approach using 100 questions whose answer type is a person in the web. We showed that a deep analysis of questions which are comparatively short but enough to mean can analysis the user's intention and extract semantic features.

• Education of Primary School Mathematics
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• v.1 no.1
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• pp.45-58
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• 1997

초등학교 아동은 교육과정을 이수하면서 수 영역에서 자연수, 정수, 그리고 양의 유리수까지 학습하게 되어 있다(교육부, 1992). 초등학교에서의 유리수는 분수ㆍ소수를 의미하는 소박한 의미의 유리수를 의미한다. 여기서 유리수는 자연수와 정수를 포괄하는 수 체계적 의미로서 포함관계가 강조되지는 않는다.(중략)

• The Journal of the Korea Contents Association
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• v.15 no.10
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• pp.636-646
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• 2015

In information society, the need to detect document duplication and plagiarism is increasing. Many studies have progressed to meet such need, but there are limitations in increasing document duplication detection quality due to technological problem of natural language processing. Recently, some studies tried to increase the quality by applying syntatic-semantic analysis technique. But, the studies have the problem comparing syntactic-semantic trees. This paper develops a syntactic-semantic tree comparator, designs and implements a discriminator of similar documents using the comparator. To evaluate the system, we analyze the correlation between human discrimination and system discrimination with the comparator. This analysis shows that the proposed discrimination has good performance. We need to define the document type and improve the processing technique appropriate for each type.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.1
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• pp.45-67
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• 2015

The purpose of this study is to analyse the semantic relations of terms in STNet, a structured terminology dictionary based on author keywords of humanities, social sciences, and art and sport in the Korea Citation Index (KCI) and to describe the procedure for optimizing the relation types and specifying the name of relationships. The results indicate that four logical criteria, such as creating new names for relationships or limitation of typing the relationship by the appearance frequency of same type, consideration of direction of relationship, reflection to accept the existing name of relationships, are required for the optimization of the typing and naming the relationships. We applied these criteria to the relationships in the class "real person" of STNet and the result shows that 1,135 out of 1,743 uncertain relationships such as RT, RT_X or RT_Y are specified and clarified. This rate of optimization with ca. 65% represents the usefulness of the criteria applicable to the cases of database construction and retrieval.