• 복식
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• 제55권3호
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• pp.1-18
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• 2005

In this study, the transition characteristics of purple series color names appearing in the clothing of the Joseon Dynasty were examined, and the associational meaning of each name were investigated through various methods. The results are as follows; First, Such characteristics as continuity, differentiation, substitution could be observed through the investigation of color names of purple-series appeared on the clothing in the Joseon Dynasty period. Secondly, the associational meaning could be subdivided into; social position symbolic meanings, usage meanings, economic meanings, and thought meanings. The social position symbolic meanings could be observed mainly in the single names which has been used since the ancient times, usage meanings could be observed in a wide variety according to the individual color names. The economic meanings could be observed by comparing the value of colored cloths and colored threads. The thought meanings were mainly related with the Confucianism. Thirdly, the associational semantic structure were established on the basis of associational meanings of purple-series color names. Individual color name on the social position symbolic semantic structure symbolizes [government official] and [servant]. Through usage semantic structure individual color names could be understood structurally according to the social position, sex distinction, wearing situation, items of clothing, and structure of clothing. Individual names on the economic semantic structure were segmented by the semantic components of the values in [high], [medium], [low] prices, kinds and quantity of dyes. The thought semantic structure could be subdivided [Confucianism] and [The Thought of Taeil] in its semantic structure.

• 한국영어학회지:영어학
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• 제4권2호
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• pp.151-174
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• 2004

A historical investigation reveals that English preposition with underwent a change from OPPOSITION to ASSOCIATION and further to ACCOMPANIMENT, where the first stage shows peculiarity in that the two concepts involved comprise an unusual set to form an extensional chain. Intrigued by this oddity, this paper aims to investigate the semantic structure of English preposition with from a grammaticalization perspective. We review mechanisms and models of semantic change and evaluate their adequacy with the semantic structure and change shown by with. Drawing upon the observed fact that with underwent the apparent antonymic semantic change, it is argued that such semantic change mechanisms as metaphor, metonymy, subjectification, and generalization have difficulties explaining the change, and that only the Frame-of-Focus Variation can effectively account for this peculiar change type. In terms of semantic change models, we argue that the Bleaching Model cannot effectively provide an explanation; that the Loss and Gain Model has problems in explaining the motivation of change directions; that the Metonymic-Metaphoric Model cannot be assessed at the current level of investigation; and that the Overlap Model and the Prototype Extension Model excellently account for the macro-level changes.

• 인문언어
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• 제6권
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• pp.321-357
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• 2004

In this article the structure of modern Russian humor is analyzed on the basis of some theories: bi-sociation theory (Koestler 1964), semantic script theory of verbal humor, using the concept of semantic presupposition, pragmatic felicity condition (Searle 1969; Levinson 1983) and grammatical rules (Chomsky 1965). Up to now the listed former theories were not examined and less analyzed by the semantic structure in the study of the structure of Russian humor(HcaeBa 1969; 3 $a_{OPHOB}$ 1991; 1992). Kreps (1981), who analyzed the works of Zoschenko, presented 21 types of humor, using the term 'humoreme'(Kpenc 1981, 36-37). These types are the list of the available means of humor that work not in the base of semantic criteria, but in the base of means of literary rhetoric. Kreps presented types of humor means, such as contradiction, antonymic substitution, macaronic speech and correlation of humoremes in the various types of humor. Apart from Kreps, Manakov (MaHaKOB 1986, 61-79) also studied these problems. He also set the system of the basic types of humor. Manakov introduced the linguistic means of humor of some Russian writers: Gogol, Tchechov. The means that Manakov showed with detailed examples, are trope, epithet, comic comparison, comic metaphor, comic periphrasis, euphemism, pun, zeugma, comic toponym, comic onomatopoeia, mania of foreign vocabulary, folk etymology, dialect etc. But these studies don't explain why these means make the works humorous. An, B.p tried to answer this question (안병팔 1997 a; b). An B.p. explains contexts of humor through the Release theory, the Superiority theory and the Incongruity theory. An, B.p. explained the process of deviation from the grammatical norms through morpho-syntactic and lexical means. But in these studies the humor was not analyzed by the semantic criteria. In order to linguistically evaluate various means of humor formation, it is necessary to elicit its deep structure, which makes it possible to research the formation and interpretation of humor. For this purpose this article, being based on the Incongruity theory, defined the structure of humor as negation of presupposition. Of course the former traditional studies also well shared the concept of 'contradiction' and 'contrast' of humor structure, but they didn't explain the structure by semantic differential features. This study, analyzing the works of' Zadornov, M., tried to note that through the negation of semantic presupposition the structure of contradiction is formed with semantic differential features on the semantic, syntactic or lexical dimensions.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1988년도 전기.전자공학 학술대회 논문집
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• pp.616-619
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• 1988

This paper deals with a semantic properties of Korea noun for semantic process in machine translation. The procedure is carried out as follow; 1) 17,000 words of Korean nouns are collected. 2) Semantic category is classifed into 39 markers. 3) We slow the redundancy of semantic properties and improve the efficiency of dictionary by marking the hierarchical concept structure.

• 음성과학
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• 제10권3호
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• pp.187-209
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• 2003

In this paper, we examine if the lexical information of the verb and its noun object affects the pitch accent patterns of the verb phrase focus. Three types of verb-object combinations with different semantic weights are discussed: when the verbs have optional direct objects, when the objects have the greater semantic weight relative to verbs, and when the verbs and the objects have equal semantic weight. Argument-structure-based works note that the pitch accent location in a focused phrase is closely related to the argument structure and contextual information. For example, it has been argued that contextually new noun objects receive accent while given noun objects don't. Contrary to nouns, verbs can be accented or not in verb phrase focus regardless of whether they are given information or new information (Selkirk 1984, 1992). However, the production experiment in this paper shows that the accenting of verbs is not fully optional, but influenced by the lexical semantic information of the verbs. The accenting of noun objects with given information is possible and the deaccenting of new noun objects also occurs depending on the lexical information of the noun objects. The results demonstrate that in addition to argument structure and information by means of context sentences, the lexical semantic information of words influences the pitch accent location in focused phrase.

• International Journal of Contents
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• 제2권3호
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• pp.1-5
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• 2006

Intelligent Content is defined as detailed information or fragment of content which contains a semantic data structure. This semantic structure makes possible to do various intelligent operations. There are wide range of content-oriented applications such as classification, retrieval, extraction, translation, presentation and question-answering. The concept of Intelligent Content is applied to various fields like MPEG and Semantic Web. In this paper, we discuss the several important researches of Intelligent Content and how to apply this conception to these fields.

• 한국정보시스템학회지:정보시스템연구
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• 제18권3호
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• pp.327-349
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• 2009

Traditional keyword-based searching methods suffer from low accuracy and high complexity due to the rapid growth in the amount of information. Accordingly, many researchers attempt to implement a so-called semantic search which is based on the semantics of the user's query. Semantic information can be described using a semantic modeling language, such as Topic Map. In this paper, we propose a new method to map a topic map to a traditional Relational Database (RDB) without any information loss. Although there have been a few attempts to map topic maps to RDB, they have paid scant attention to handling multi-role topics. In this paper, we propose a new storage structure to map multi-role topics to traditional RDB. The proposed structure consists of a mapping table, role tables, and content tables. Additionally, we devise a query translator to convert a user's query to one appropriate to the proposed structure.

• 한국정보과학회논문지:소프트웨어및응용
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• 제35권5호
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• pp.306-312
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• 2008

목적 지향성 대화에서 화자의 의도는 화행과 개념열 쌍으로 구성되는 의미 구조로 근사화될 수 있다. 그러므로 지능형 대화 시스템을 구현하기 위해서는 의미 구조를 올바르게 파악하는 것이 매우 중요하다. 본 논문에서는 능동학습(active learning) 방법을 이용하여 효율적으로 의미 구조를 분석하는 모델을 제안한다. 제안 모델은 언어 분석에 따른 부담을 덜기위하여 형태소 자질들과 이전 의미 구조만을 입력 자질로 사용한다. 그리고 정확률 향상을 위하여 자연어 처리 분야에서 높은 성능을 보이고 있는 CRFs(Conditional Random Fields)를 기본 통계 모델로 사용한다. 일정 관리 영역에서 제안 모델을 실험한 결과는 기존 모델들과 비교하여 1/3 정도의 훈련데이타를 사용하고도 비슷한 정확률(화행 92.4%, 개념열 89.8%)을 나타내고 있음을 알 수 있었다.

• 한국비블리아학회지
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• 제33권1호
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• pp.345-369
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• 2022

본 연구의 목적은 인문학 분야 연구데이터와 연구논문을 연계할 수 있는 '인문학 분야 연구데이터를 위한 연구논문 의미구조 기반 메타데이터'를 개발하는 것이다. 인문학 분야 연구자의 관심 정보를 파악하기 위해 키워드 유형화를 진행하고 이를 일반적인 연구논문의 의미구조를 기준으로 분석함으로써 인문학 분야의 특성을 반영하기 위해 추가될 요소를 확인하였다. 이를 기반으로 인문학 분야 연구논문의 의미구조 기반 메타데이터를 구성하였으며 해당 메타데이터가 인문학 분야 연구데이터의 메타데이터로서 적합한지를 평가하기 위하여 인문학 분야 연구자를 대상으로 설문을 진행하였다. 인문학 분야 연구논문의 의미구조를 기반으로 도출된 17개의 메타데이터 요소 중 인문학 분야 연구데이터 메타데이터로 활용하기에 적합하다고 판단된 요소는 7개이며, 그 외 10개 요소는 사용 가능한 요소로 확인되었다. 평가 결과를 바탕으로 인문학 분야 연구데이터를 위한 연구논문 의미구조기반 메타데이터를 구성하였다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.245-252
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• 2022

Risk identification for bridge projects is a knowledge-based and labor-intensive task involving several procedures and stakeholders. Presently, risk information of bridge projects is unstructured and stored in different sources and formats, hindering knowledge sharing, reuse, and automation of the risk identification process. Consequently, there is a need to develop structured and formalized risk information for bridge projects to aid effective risk identification and automation of the risk management processes to ensure project success. This study proposes a semantic risk breakdown structure (SRBS) to support risk identification for bridge projects. SRBS is a searchable hierarchical risk breakdown structure (RBS) developed with python programming language based on a semantic modeling approach. The proposed SRBS for risk identification of bridge projects consists of a 4-level tree structure with 11 categories of risks and 116 potential risks associated with bridge projects. The contributions of this paper are threefold. Firstly, this study fills the gap in knowledge by presenting a formalized risk breakdown structure that could enhance the risk identification of bridge projects. Secondly, the proposed SRBS can assist in the creation of a risk database to support the automation of the risk identification process for bridge projects to reduce manual efforts. Lastly, the proposed SRBS can be used as a risk ontology that could aid the development of an artificial intelligence-based integrated risk management system for construction projects.