• Journal of Korean Library and Information Science Society
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• v.48 no.1
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• pp.345-371
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• 2017

Traditionally, the construction industry field is one of the typical fields using facet analysis method. Internationally the facet analysis method is applied to the classification scheme "Uniclass" or thesaurus "Construction Industry Thesaurus(CIT)". In the case of Korea, the facet analysis method is being used in classification scheme "Construction Industry Classification System" but it is difficult to find studies on facet analysis method in thesaurus or building case study. This study aims to establish facet types by introducing building of thesaurus for information retrieval in construction field using facet analysis method and to suggest building plan of thesaurus in construction field using facet analysis method. In this paper, We establish the 11 top facets(agent/patient, artifacts, abstract, material, parts/component, works, attribute, media, process, space, time) and the 13 subfacet as rudimental facets and suggest building plan according to thesaurus building procedure which is suggested by International Standard(ISO 25964-1). The result of this study is expected to apply to facet based thesaurus. And it is also expected to reuse in Taxonomy or Ontology etc. and to use in interoperability with the classification scheme of Construction filed.

• Journal of the Korean Society for information Management
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• v.13 no.2
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• pp.5-18
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• 1996

For the construction of thesaurus, a thesaurus management system is needed which can process dynamic variations fast and exactly such as input. correction and deletion of words, and definition of new relationship between words. In this paper, I developed a thesaurus management system based on the object-oriented technique and GUI(graphic user interface) screen, and to enhance the effectiveness of information retrieval. I put emphasis on the expansion of synonym, English and Korean words containing the same concept.

• Journal of Korean Society of Archives and Records Management
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• v.14 no.1
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• pp.7-24
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• 2014

The purpose of this study is to develop a thesaurus for women's oral history in modern Korea. Literature review and case studies for four thesauri were performed for this study with which a thesaurus was built based upon the index terms in oral history records. The process of developing the thesaurus consisted of five steps. First, there are 1,784 index terms from the oral history records by 53 modern Korean women were extracted and analyzed. Second, possible terms for the thesaurus were selected through regular meetings with experts in the fields of information organization and women's oral history. Third, relationships between terms were defined by focusing on equivalence, hierarchy, and association. Fourth, after developing a Web-based thesaurus management system, terms and relationships were input to the system. Fifth, terms and relationships were again reviewed by experts from the relevant fields. As a result, the thesaurus comprise of 1,076 terms and those terms were classified to 39 broad subject areas, including proper nouns, such as geographic names, places, person's names, corporate names, and others, and it will be expanded with more oral history records from other people during the same period.

• Journal of Korean Library and Information Science Society
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• v.44 no.3
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• pp.489-512
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• 2013

This study suggests the establishment and applications of the News core thesaurus for efficient indexing and searching of news information. News core thesaurus was constructed as macrothesauri which can cover all of news subjects and then has microthesauri like politics, economy, society, culture, etc. as its subsets. In this research, News core thesaurus embodied 2,012 descriptors and 74 non-descriptors by SKOS(Simple Knowledge Organization System). It suggests measures that treat only special subjects in detail in weekly newspaper or biweekly newspaper with little information and special subjects, which is not daily newspaper, and use each microthesauri by merging or integrating in huge news archives or portal sites.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.272-277
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• 2001

In this paper, we describe a new method for selecting information sources in a distributed environment. Recently, there has been much research on distributed information retrieval, that is information retrieval (IR) based on a multi-database model in which the existence of multiple sources is modeled explicitly. In distributed IR, a method is needed that would enable selecting appropriate sources for users\` queries. Most existing methods use statistical data such as document frequency. These methods may select inappropriate ate sources if a query contains polysemous words. In this paper, we describe an information-source selection method using two types of thesaurus. One is a thesaurus automatically constructed from documents in a source. The other is a hand-crafted general-purpose thesaurus(e.g. WordNet). Terms used in documents in a source differ from one another and the meanings of a term differ depending on th situation in which the term is used. The difference is a characteristic of the source. In our method, the meanings of a term are distinguished between by the relationship between the term and other terms, and the relationship appear in the co-occurrence-based thesaurus. In this paper, we describe an algorithm for evaluating a usefulness of a source for a query based on a thesaurus. For a practical application of our method, we have developed Papits, a multi-agent-based in formation sharing system. An experiment of selection shows that our method is effective for selecting appropriate sources.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.2 no.1
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• pp.73-79
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• 2009

Analyze semantic of files recorded in the user's computer file system based on C++ program language which pursue modularization program and object-oriented programming language. And this refers to it, it design that clustering semantic of filename with thesaurus for user convenience. WTPM makes User Write Files into Cluster with thesaurus semantic structure and reserved words. WTPM process has designed for Icon file's display Mashup structure and implemented by automation algorithm of classification.

• Journal of Korean Medical classics
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• v.19 no.1 s.32
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• pp.155-167
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• 2006

From th Study on A Study on the Thesaurus of Korean medical information for developing search engine, the conclusion is as follow. Knowledge based information system consists of concepts, facts and relation. The final goal of developing the Knowledge based information system is to select, store and control the knowledge and information of Oriental Medicine. Considering limitation of organizing the knowledge system, it is difficult to realize complete basic system and application method. In order to work, it is necessary to combine experts in each part, for example Domain experts, Information and Knowledge engineer. Through the development of knowledge based information system, we can construct EMR(Electronic Medical Record) system in the near future, and it is possible to make semi-expert system. To make Knowledge based information system, we need to establish standards of information that make the distribution of Knowledge and information easily.

• 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.

• Journal of the Korean Society for information Management
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• v.21 no.4 s.54
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• pp.27-47
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• 2004

In this study, the experiment was made to transform the relationship among terms in a thesaurus to ontology language as search tools for multilingual text. As a result, the equivalent relationship in the thesaurus can be expressed by different ways in the ontology, such as equivalentClass, equivalentProperty, sameAS, and so on. On the other hand, the associative relationship can be represented by ObjectProperty, DatatypeProperty, and inverseOf. For this test, first of all, the descriptors assigned by AAT and the descriptors from bilingual thesaurus by ICCD were translated into Korean. Then, the facet was used for conceptual equivalence among terms from different languages. The result of the study showed that using rdf:Property in ontology was the most effective way of transforming multilingual thesaurus into ontology.

• The KIPS Transactions:PartD
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• v.11D no.3
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• pp.553-562
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• 2004

This paper constructs ERD thesaurus that is storing information about Entity Relationship Diagram(ERD), and proposes an ERD thesaurus-based methodology for view integration in an important conceptual design step in designing databases. To show the usefulness of proposed methodology, the prototype for view integration support system is implemented for the applied case. As a result, ERD thesaurus-based methodology is more effective than the existing methodologies for view Integration in the aspects of affinity analysis, semantic conflicts resolution, and view Integration processes. Therefore, our methodology is expected to be utilized in integrating the existing fragmented schema or designing a large database integration.