• 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.

• The Transactions of the Korea Information Processing Society
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• v.6 no.2
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• pp.347-356
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• 1999

We present a method of thesaurus construction in order to produce semantic concept hierarchy of Korean nouns and implement a system for constructing the thesaurus in this paper. Multiple-step construction method is applied to this system which uses bottom-up and top-down method complementarily for solving the non-objectivity of word hierarchy, working speed, structural contradiction and incoherency of existing thesaurus. This system maintains objectivity using the meaning sentence of machine-readable dictionary and solves structural contradiction and incoherency with reference to existing thesaurus. We implement a developmental tool based on client/server system to construct thesaurus including massive entries as soon as possible and multiple client can work simultaneously.

• Journal of Information Management
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• v.21 no.1
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• pp.53-75
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• 1990

In information storage and retrieval system, controlled vocabularies are generally used to improve the recall ratio and to guide for indexers/users to select correct indexing/searching terms by regulating their forms as well as meanings. Thesaurs, a type of controlled vocabulary, nowdays accept ed by most of database producers. The objective of this study is to develope a method of Korean Language Thesaurus construction. This study covers 1) the definition of thesaurus, 2) a literatural survey on term relations and thesaurus construction method, 3) a suggestion for a practical construction method, 4) the display format of thesuari, and 5) tests and the results.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.3
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• pp.289-304
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• 2006

The purpose of this pilot study is to construct a searching thesaurus with word association test in the library and information science field and to confirm it's functionality as searching aids through query expansion experiments. The test results were analyzed to four types of relationship between stimulus words and response words, and the terms of association thesaurus were compared with descriptors of an existing thesaurus. The test results show that the word association test is a fruitful method to identify many related terms and narrower and equivalent terms in some degree to the stimulus terms. Furthermore. in the query expansion experiment. the Performance of association thesaurus was better than that of an existing thesaurus, This result demonstrates that word association thesaurus can apply to query expansion.

• The KIPS Transactions:PartD
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• v.10D no.5
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• pp.753-762
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• 2003

Many Methodologies have proposed for component retrieval. Among them, thesaurus concept has introduced for similar component retrieval. This paper classified classes by concept according to inheritance relation for efficient retrieval of component, and applied fuzzy logic to thesaurus method and constructed object-oriented thesaurus. Proposed method could express category between concepts automatically, and calculate fuzzy degree between classes by comparing matching and mismatching degree to each class and category and construct thesaurus. Component retrieval is that using classes of component, candidate components are retrieved according to priority order using fuzzy similarity. Also, we improved retrieval performance by thesaurus greatly, setting critical of most suitable through simulation.

• Journal of Korean Library and Information Science Society
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• v.32 no.4
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• pp.77-98
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• 2001

As the role of a library has changed to the integrated management system of knowledge, the library needs new information retrieval tools. The purpose of this study is to propose a method and principle of the Korean-English semantic thesaurus construction for a knowledge management system. The method and principle is as follows; 1) in collecting terminology, I included not only internal documents but external documents on the web as a source for the descriptors extraction. 2) conceptual descriptors are more needed than semantic ones. I also proposed the necessity of the authority files for complement. 3) I proposed the appropriate scale of the descriptors to be 15,000 in a thesaurus. And 4) I proposed a hybrid method that used both a manual and an automatic process in establishing the relationship.

• 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.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.222-224
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• 2003

Many users want to add some their own information to data which was on the web and computer without actually needing to touch data. In remote sensing, the result data for image classification consist of image and text file in general. To overcome these inconvenience problems, we suggest the annotation method using XML language. We give the efficient annotation method which can be applied to web and viewing of image classification. We can apply the annotation for web and image classification with image and text file. The need for thesaurus construction is the lack of information for remote sensing and GIS on search engine like Empas, Naver and Google. In search engine, we can’t search the information for word which has many different names simultaneously. We select the remote sensing data from different sources and make the relation between many terms. For this process, we analyze the meaning for different terms which has similar meaning.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.17 no.1
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• pp.285-303
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• 2006

This study suggests the method of converting thesauri to SKOS step by step and it is formalized in three stages of the conversion process. The study develops output and guidelines for each stage. The converting stages are: (1) Collecting and analyzing thesauri for understanding about structure of terms and semantics of relation. (2) Defining the conversion method and creating ontology of the thesauri. (3) Examining the preservation of forms and various semantic relations between the thesauri and then creating SKOS ontology. This method can be applied to the thesauruses with complicated relations in concepts. In the future, it is needed to have an embodiment of conversion after making the algorithm of conversion by stage with the method suggested in this research.

• Language and Information
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• v.10 no.1
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• pp.47-69
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• 2006

Recently, there has been a surge of interests concerning the construction and utilization of a Korean thesaurus. In this paper, a semi-automatic method for generating a lexical-semantic network of Korean '-ha' verbs is presented through an analysis of the lexical definitions of these verbs. Initially, through the use of several tools that can filter out and coordinate lexical data, pairs constituting a word and a definition were prepared for treatment in a subsequent step. While inspecting the various definitions of each verb, we extracted and coordinated the head words from the sentences that constitute the definition of each word. These words are thought to be the main conceptual words that represent the sense of the current verb. Using these head words and related information, this paper shows that the creation of a thesaurus could be achieved without any difficulty in a semi-automatic fashion.