• 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.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.4
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• pp.179-201
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• 2015

The subject heading is an elaborate access tool for subject browsing and searching in information retrieval environment. The purpose of this study is to suggest the applicable facets to subject headings in Korea. First, the concepts of subject and the definitions of facets were investigated in the literature review. Second, six cases including OCLC's FAST, PRECIS, "Thesaurus construction and use", CC $7^{th}$ edition, BC $2^{nd}$ Edition, and UDC $3^{rd}$ Edition were analyzed to focus on configuration of facets as case studies. Based on the results, twenty-two facets were proposed including Topical, Event, Geography, Chronology, Personal and Corporate Name, Title, Form, Genre, Language, and Person facets as 11 top facets. Also, Topical-Thing/Entity and Topical-Action/Status, Part, Kind, Property, Whole, Material, Patient, Product, By-Product and Agent facets as sub-facets of Topical facet.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10c
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• pp.153-155
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• 1998

본 논문에서는 개념을 기반으로 문서의 분류를 하는 확률벡터 모델의 분류기TAXON(Concept-based Text Categorization System)의 개선을 도모한다. TAXON은 한국어 문장을 분석하여 명사를 추출하고 명사의 개념을 시소러스 도구를 통해 획득한 후 이를 벡터화하여 주제와 입력 문서와의 관계성을 검사하는 문서 분류기이다. 본 논문은 문서 분류기 TAXON의 성능을 향상시키기 위하여 확률벡터 계산에 가중치 부여 휴리스틱을 도입한다. 그리고 시소러스 도구를 확장하여 문서 분류의 질을 높인다.

• Journal of the Korean Society for information Management
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• v.27 no.3
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• pp.207-225
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• 2010

Terms collected from theological dictionaries in English and the Scripture are used in order to construct conceptual relationships of theological thesaurus. Using the terms, equivalence relationships, hierarchical relationships, and associative relationships as the basic relationships in thesaurus are constructed. In equivalence relationships, Hebrew, Greek, and Latin terms are included as descriptors and in hierarchical relationships, generic, instance, whole-part, and polyhierarchical relationships are constructed. Also, there is no big difference in the kinds of conceptual relationships between this theological thesaurus and the thesauri of other subjects. Examples of Biblical Theology are showed. Because Biblical Theology has a strong point to view the Scripture and Protestantism on comprehensive perspective. In this context, one of the main feature in the theological thesaurus is that there are a lot of the allegorical terms. Typology, which is the core structure causes this result.

• Journal of the Korean Society for information Management
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• v.18 no.2
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• pp.231-254
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• 2001

As contemporary thesauri have become large and complex, it is increasingly difficult to assess the intended meaning of each one of the terms. Thereby the meaning of many descriptors seems to be very similar, and it is often not possible to distinguish among them and to identify the term correctly. Purpose of this article is to induce definitions of descriptors in thesaurus by specifying the characteristics of each concept, locating it in the domain and providing clear and prescriptive information on the meaning of each descriptor in the form of a standardized terminological definition. In this study, a small prototype thesaurus using definition of term in the field of information industry in Korean Standards has been developed. In this thesaurus definitions are written for each descriptor with the help of a proposed defining model and in accordance with defining rules borrowed from the field of terminology. In addition, elements of analyzed definition have been included in the relation structure of descriptors. It is revealed that terminological definition added to thesaurus may permit extraction of separate items of information from definitions for the representation of knowledge structures and makes it easier to confine the scope of descriptors to be included in thesaurus in a given subject field.

• Journal of Korean Library and Information Science Society
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• v.43 no.3
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• pp.143-163
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• 2012

In order to convert a thesaurus described by a person to ontology, the first step is to translate the thesaurus to the ontology by using SKOS, which is suitable for conversion to ontology and was chose an international standard by W3C. SKOS is suitable for converting thesaurus or subject headings or classification system to ontology, but we need a web language to describe an ontology as RDF/XML. RDF/XML is so difficult to read and write that we can need RDFa embedded in HTML document or Turtle, which is more easily describable and readable. Along with description using SKOS, this research has experimentally constructed the ontology by using ontology construction program $Prot{\acute{e}}g{\acute{e}}$ 4.2. In addition to basic concept relationships of thesaurus like equivalent relationship, hierarchical relationships, association relationships transitive hierarchical relationships are included suggested by SKOS in this research.

• Proceedings of the Korean Society for Language and Information Conference
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• 2006.06a
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• pp.209-224
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• 2006

• Journal of the Korean Society for Library and Information Science
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• v.42 no.3
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• pp.259-279
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• 2008

The purpose of this study is to classify theological terms using facets and form foundation to build a theological thesaurus The terms was chosen in a English theological dictionary and the number of them are 1,031 but eventually, 984 terms were classified. The facets which classify the terms are 7 fundamentals and 14 sub-facets. Analysing the result of classification, abstract terms are much more than physical terms. They are 70% of the whole. Decimal classification to classify documents comes to dead end. therefore I think the research to classify terms of a specific subject as theology must be active. Furthermore, It is necessary to have knowledge about a specific subject to organize information in a specific subject.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04c
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• pp.383-385
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• 2003

본 논문에서는 개념 기반 검색엔진 시스템(Concept-based Search Engine System)의 검색 정확도를 향상시키기 위한 방법으로 MeSH를 이용하였다. MeSH는 Medical Subject Headings의 약자로서 MEDLINE 논문의 원활한 검색을 위하여 주제어를 코드화한 것으로 이를 개념 그래프의 시소러스로 사용하여 개념 그래프의 가장 중요한 부분인 개념 추출의 정확성을 보장하도록 하였다. 본 논문은 2003년 MeSH의 Descriptor Data의 Term 항목을 사용하여 개념과 관련이 있는 유의어를 추출했다. 추출된 유의어로 개념 그래프를 구성한 것과 문서 내에서의 단어 빈도수에 의하여 개념 그래프를 구성한 것의 검색 결과를 비교한 결과 MeSH 를 시소러스로 사용하여 개념 그래프를 구성한 것이 훨씬 더 정확한 결과를 내는 것을 확인할 수 있었다.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.463-465
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• 2005

문서분류 시 문서의 내용을 표현하기 위한 자질로서 사용되는 단어의 출현빈도정보는 해당 문서의 주제어를 표현하기에 취약한 점을 갖고 있다. 즉, 키워드가 문장에서 어떠한 목적(의미)으로 사용되었는지에 대한 정보를 표현할 수가 없고, 문장 간의 응집도가 강한 문장에서 추출되었는지 아닌지에 대한 정보를 표현할 수가 없다. 따라서, 이 정보로부터 문서분류를 하는 것은 그 정확도에 있어서 한계를 갖게 된다. 본 논문에서는 이러한 문서표현의 문제를 해결하기위해, 키워드를 선택할 때, 자질로서 문장의 역할(주어)정보를 추출하여 가중치 부여방식을 통하여 주어주도정보량을 추출하였다. 또한, 자질로서 문장 내 키워드들의 동시출현빈도 정보를 추출하여 문장 간 키워드들의 연관성정도를 시소러스에 담아내었다. 그리고, 이로부터 응집도 정보를 추출하였다. 이 두 정보의 통합으로부터 문서 주제어를 결정함으로서, 문서분류를 위한 주제어 추출 시 불필요한 키워드의 삽입을 줄이고, 동시 출현하는 키워드들에 대한 선택 기준을 제공하고자 하였다. 실험을 통해 한번 출현한 키워드라도, 문장을 주도하는 주어로서 사용될 경우와 응집도 가중치가 높을 경우에 주제어로서의 선택될 가능성이 향상되고, 문서분류를 위해 좀 더 세분화된 키워드 점수화가 가능함을 확인하였다. 따라서, 선택된 주제어가 문서분류의 정확도에 있어서 향상을 가져올 수 있을 것으로 기대한다.