• Title, Summary, Keyword: Thesaurus-Analysis

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A Study on Building Method of the Construction Industry Thesaurus Using Facet Analysis Method (패싯 분석 기법을 활용한 건설 시소러스 구축 방안에 관한 연구)

  • Hong, Ki-Churl
    • 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.

A Methodology for View Integration Using ERD Thesaurus (ERD시소러스를 이용한 뷰 통합 방법론)

  • Lee, Won-Jo;Koh, Jae-Jin;Jang, Gil-Sang
    • 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.

Construction of the Concept-Based Faceted Framework for Thesaurus Integration (시소러스 통합을 위한 개념기반 패싯 프레임워크 구축)

  • Lee, Seung-Min
    • Journal of Korean Library and Information Science Society
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    • v.41 no.3
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    • pp.269-290
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    • 2010
  • Applying one specific thesaurus might cause several problems because each thesaurus has its own characteristics inherited from its construction process. Therefore, integration of thesauri can be an appropriate approach to overcome the difficulties. This current research selected physics as a domain and two thesauri in the domain: PACS and PIRA. By integrating these two heterogeneous thesauri, this research could construct a conceptual structure that covers the whole concepts related to physics. By constructing the conceptual structure with the use of facet analysis from integrated thesaurus, it provides knowledge base with hierarchical structure and clear relationships between concepts. It can be an alternate approach to effective and efficient information retrieval and knowledge discovery.

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Thesaurus and Ontology Based on ISO 25964-2: With a Focus on Administrative Departments Names (ISO 25964-2를 기반으로 한 시소러스와 온톨로지 상호운용성 연구 - 행정부처명을 중심으로 -)

  • Lee, Hyewon
    • Journal of Korean Society of Archives and Records Management
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    • v.17 no.3
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    • pp.71-96
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    • 2017
  • Although ISO 25964-2 was introduced in 2013, existing research about it that can be used for analysis and basis for its application is scarce. This study analyzed the interoperability of vocabularies emphasized in ISO 25964-2. First, this study examined the mapping types of the concept sharing method. In addition, based on the mapping types, this study sought for and examined the interoperability method between a thesaurus and ontology. Lastly, this study has suggested a thesaurus and ontology interoperability model and designed and constructed an ontology model for administrative department names in Korea to verify the possible of the model.

Newspaper Thesaurus Construction in Theory and Practice (신문 시소러스 개발의 이론과 실제)

  • Chung Young-Mee
    • Journal of the Korean Society for Library and Information Science
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    • v.25
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    • pp.51-82
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    • 1993
  • Effective indexing systems are required to enhance the performance of full-text retrieval systems. The result of the analysis of index terms selected by human indexers without a newspaper thesaurus indicates that controlled indexing language is necessary for effective and consistent indexing of newspaper articles. In this paper, basic principles are established for keyword selection from Korean newspapers and significant problems identified in the process of developing a newspaper thesaurus are discussed in depth.

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The Study on the Standards of Thesaurus Construction Based on ISO 25964 (ISO 25964를 통해 살펴본 시소러스 구축 표준에 관한 연구)

  • Park, Ok-Nam
    • Journal of Information Management
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    • v.42 no.2
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    • pp.43-65
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    • 2011
  • Despite a long tradition and rich discussion of thesaurus construction, more research is needed to make standards for thesaurus construction applicable to practice. Recently, in order to reflect changing information technology environment, and provide consistency of terms and abbreviations of standards, ISO committee has been planning to publish ISO 25964. Therefore, the study introduces ISO 25964, reveals main focal points of ISO 25964, and finally discusses suggestions to improve ISO 25964. The study employs qualitative content analysis of ISO 25964, ISO 2788: 1986, and ANSI/NISO Z39.19 - 2005.

A Study on the Analysis of AGROVOC for Establishment of Concept Relationships of Ontology (온톨로지의 개념간 관계 설정을 위한 AGROVOC 시소러스의 분석에 관한 연구)

  • Yoo, Yeong-Jun
    • Journal of the Korean Society for information Management
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    • v.22 no.1
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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.

A study of Clinical DW for utilizing analysis of medical treatment information (진료정보 분석 활용을 위한 Clinical DW에 관한 연구)

  • Song, Min-Gu;Kim, Sun-Bae
    • Journal of Digital Convergence
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    • v.11 no.8
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    • pp.293-302
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    • 2013
  • So far, DW(data warehouse) of hospital has been used as tool for analyzing patient-focused data. However, EMR(Electronic Medical Record) is established these days, so informal data which is record and video record could be useful to get some information for patient remedy, not as DW data. This study claims that need of establishing treatment-focused DW, not for hospital administration-focused DW which has been used lots of hospital DW. Also we discussed how CDW can be applied for real medication situation. At last, we deduct a relation past record of sick and wounded patient as Thesaurus searching method by real hospital data for establishing base of early-treatment system.

Using Ontologies for Semantic Text Mining (시맨틱 텍스트 마이닝을 위한 온톨로지 활용 방안)

  • Yu, Eun-Ji;Kim, Jung-Chul;Lee, Choon-Youl;Kim, Nam-Gyu
    • The Journal of Information Systems
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    • v.21 no.3
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    • pp.137-161
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    • 2012
  • The increasing interest in big data analysis using various data mining techniques indicates that many commercial data mining tools now need to be equipped with fundamental text analysis modules. The most essential prerequisite for accurate analysis of text documents is an understanding of the exact semantics of each term in a document. The main difficulties in understanding the exact semantics of terms are mainly attributable to homonym and synonym problems, which is a traditional problem in the natural language processing field. Some major text mining tools provide a thesaurus to solve these problems, but a thesaurus cannot be used to resolve complex synonym problems. Furthermore, the use of a thesaurus is irrelevant to the issue of homonym problems and hence cannot solve them. In this paper, we propose a semantic text mining methodology that uses ontologies to improve the quality of text mining results by resolving the semantic ambiguity caused by homonym and synonym problems. We evaluate the practical applicability of the proposed methodology by performing a classification analysis to predict customer churn using real transactional data and Q&A articles from the "S" online shopping mall in Korea. The experiments revealed that the prediction model produced by our proposed semantic text mining method outperformed the model produced by traditional text mining in terms of prediction accuracy such as the response, captured response, and lift.

A Theoretical Study of Designing Thesaurus Browser by Clustering Algorithm (클러스터링을 이용한 시소러스 브라우저의 설계에 대한 이론적 연구)

  • Seo, Hwi
    • Journal of Korean Library and Information Science Society
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    • v.30 no.3
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    • pp.427-456
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    • 1999
  • This paper deals with the problems of information retrieval through full-test database which arise from both the deficiency of searching strategies or methods by information searcher and the difficulties of query representation, generation, extension, etc. In oder to solve these problems, we should use automatic retrieval instead of manual retrieval in the past. One of the ways to make the gap narrow between the terms by the writers and query by the searchers is that the query should be searched with the terms which the writers use. Thus, the preconditions which should be taken one accorded way to solve the problems are that all areas of information retrieval such as should taken one accorded way to solve the problems are that all areas of information retrieval such as contents analysis, information structure, query formation, query evaluation, etc. should be solved as a coherence way. We need to deal all the ares of automatic information retrieval for the efficiency of retrieval thought this paper is trying to solve the design of thesaurus browser. Thus, this paper shows the theoretical analyses about the form of information retrieval, automatic indexing, clustering technique, establishing and expressing thesaurus, and information retrieval technique. As the result of analyzing them, this paper shows us theoretical model, that is to say, the thesaurus browser by clustering algorithm. The result in the paper will be a theoretical basis on new retrieval algorithm.

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