• Title/Summary/Keyword: 의미론적 확장

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Formal Semantics for Lambda Expression of Java (자바 람다식에 대한 형식 의미론)

  • Han Jung Lan
    • KIPS Transactions on Computer and Communication Systems
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    • v.12 no.5
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    • pp.157-164
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    • 2023
  • Specifying the semantic structure for functional interfaces and lambda expressions, which are the latest features of Java, can be referenced when designing similar functions in the future, and is also required in the process of standardizing or implementing an optimized translator. In this study, action equation 3.0 is newly proposed to express the static and dynamic semantic structure of functional interfaces and lambda expressions by modifying and upgrading the existing expressions to express the semantic structures of java functional interfaces and lambda expressions. Measure the execution time of java programs by implementing the semantic structure specified in action equation 3.0 in java, and prove that action equation 3.0 is a real semantic structure that can be implemented through simulation. The superiority of this action equation 3.0 is to be confirmed by comparing the action equation 3.0 specified in the four areas of readability, modularity, extensibility and flexibility with the existing representative semantic expression methods.

Development of Scaled Explosion Logit Model Considering Reliability of Ranking Data (SP 순위 자료별 오차를 고려하는 순위로짓 모형 추정에 관한 연구)

  • Kim, Kang-Soo;Cho, Hye-Jin
    • Journal of Korean Society of Transportation
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    • v.22 no.6
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    • pp.197-206
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    • 2004
  • In ranking data, respondents are required to rank a number of alternatives in order of their preferences and an exploded logit model is generally used. It assumes that each rank contains the same amount of random noise. This study investigates the reliability of ranking data and identifies whether there are different decision rules at each rank stage. The results show that there were differences in the amount of unexplained variation in different ranking stage. A single scaling parameter could not explain the difference of variations of individual coefficients between two ranking data average difference of variations. This paper also investigated the optimal explosion depth in the exploded logit model by using the suggested scaling approach. The scaling approach should be based on particular variables which have different variances rather than based on the whole data set. The empirical analysis show that an explosion depth of 2 is appropriate after scaling the second rank data set, while an explosion including the third rank is inappropriate even though the third rank data set is scaled.

Indexing Scheme for keyword-based Query Processing on Semantic Web (시멘틱 웹 데이터를 위한 키워드 인덱싱 기법)

  • Shin, Hye-Yeon;Kim, Youn-Hee;Chong, Kyun-Rak;Lim, Hae-Chull
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.10c
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    • pp.51-55
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    • 2006
  • 시맨틱 웹은 현재 웹의 확장된 개념으로 사람뿐만 아니라 컴퓨터 스스로가 데이터를 이해하고 처리할 수 있도록 정보에 의미를 부여하는 것이다. 시맨틱 웹 데이터를 기술하는 RDF를 통해 메타데이터를 표현하고 의미론적 추론이 가능하게 되었다. 따라서 기존에 일반 사용자가 쉽게 사용할 수 있는 키워드 검색 방법을 시맨틱 웹 데이터인 RDF/RDF 스키마에 적용함으로써 차세대 웹으로 인식되고 있는 시맨틱 웹을 일반 사용자도 쉽게 활용할 수 있도록 한다. 본 논문에서는 RDF 문서의 효율적인 검색을 위해 RDF 인스턴스와 RDF 스키마 정보를 저장하고, 키워드, 속성, 클래스 타입의 복합 조건 검색을 만족시키는 키워드 인덱스와 스키마 테이블 구조를 제안한다. 본 논문에서 제안한 구조는 다양한 조건들을 만족하는 리소스 정보의 빠르고 정확한 검색이 가능하도록 한다.

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Attention Patterns and Semantics of Korean Language Models (한국어 언어모델 주의집중 패턴과 의미적 대표성)

  • Yang, Kisu;Jang, Yoonna;Lim, Jungwoo;Park, Chanjun;Jang, Hwanseok;Lim, Heuiseok
    • Annual Conference on Human and Language Technology
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    • 2021.10a
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    • pp.605-608
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    • 2021
  • KoBERT는 한국어 자연어처리 분야에서 우수한 성능과 확장성으로 인해 높은 위상을 가진다. 하지만 내부에서 이뤄지는 연산과 패턴에 대해선 아직까지 많은 부분이 소명되지 않은 채 사용되고 있다. 본 연구에서는 KoBERT의 핵심 요소인 self-attention의 패턴을 4가지로 분류하며 특수 토큰에 가중치가 집중되는 현상을 조명한다. 특수 토큰의 attention score를 층별로 추출해 변화 양상을 보이고, 해당 토큰의 역할을 attention 매커니즘과 연관지어 해석한다. 이를 뒷받침하기 위해 한국어 분류 작업에서의 실험을 수행하고 정량적 분석과 함께 특수 토큰이 갖는 의미론적 가치를 평가한다.

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A Query Expansion Technique using Query Patterns in QA systems (QA 시스템에서 질의 패턴을 이용한 질의 확장 기법)

  • Kim, Hea-Jung;Bu, Ki-Dong
    • Journal of Korea Society of Industrial Information Systems
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    • v.12 no.1
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    • pp.1-8
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    • 2007
  • When confronted with a query, question answering systems endeavor to extract the most exact answers possible by determining the answer type that fits with the key terms used in the query. However, the efficacy of such systems is limited by the fact that the terms used in a query may be in a syntactic form different to that of the same words in a document. In this paper, we present an efficient semantic query expansion methodology based on query patterns in a question category concept list comprised of terms that are semantically close to terms used in a query. The proposed system first constructs a concept list for each question type and then builds the concept list for each question category using a learning algorithm. The results of the present experiments suggest the promise of the proposed method.

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Comparison of Conceptual Models of XML Based on Extended Entity Relationship Model (확장된 개체 관계 모델 기반 XML의 개념적 모델 비교)

  • Kim, Young-Ung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.6
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    • pp.197-202
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    • 2019
  • XML has been established as a de facto standard for representing and exchanging documents, and has been widely used as a logical data model. Using XML as a logical database model, it requires a conceptual model for the semantics that XML has. However, the existing conceptual models, such as Entity Relationship models and UML, have been extended their concepts to express the specific characteristics of XML, but so far, there are no standard models. This paper compares the characteristics of the typical model of conceptual model of XML by Extended Entity Relationship model from the perspective of database field. For this, we propose the requirements that must be met for XML, and on the basis of these requirements, the approaches of each model are compared.

Semantic Relation Extraction using Pattern Pairs Sharing a Term (용어를 공유하는 패턴 쌍을 이용한 의미 관계 추출)

  • Kim, Se-Jong;Lee, Yong-Hun;Lee, Jong-Hyeok
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.3
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    • pp.221-225
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    • 2009
  • Constructing an ontology using a mass corpus begins with an automatic semantic relation extraction. A general method regards words appearing between terms as patterns which are used to extract semantic relations. However, previous approaches consider only one sentence to extract a pattern, so they cannot extract semantic relations for terms in different sentences. This paper proposes a semantic relation extraction method using pairs of patterns sharing a term, where each pattern is extracted using one of the seed term pair satisfying the target relation. In our experiments, we achieved the accuracy 83.75% improving previous methods by 7.5% in is-${\alpha}$ relation and the accuracy 83.75% improved by 5% in part-of relation. We also present a possibility of improving the recall by the relative recall.

A Comparative Study on the Effectiveness of Hangul Natural Language Retrieval Using KT Test Set (KT Test Set을 이용한 우리말 자연언어검색의 효율성에 관한 비교연구)

  • 이현아;김성혁
    • Proceedings of the Korean Society for Information Management Conference
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    • 1995.08a
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    • pp.37-40
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    • 1995
  • 본 연구는 자연언어시스템에서 색인어와 탐색어의 특정성에 기인하는 재현율 감소를 극복하기 위한 방법론으로써 탐색어의 확장을 통한 검색효율을 평가하였다. 이를 위하여 우리말 데이터베이스를 대상으로 주제전문가가 자연언어로 작성한 원 질의문 (Q1), 원 질의문에 사용된 탐색어와 데이터베이스내의 색인어간의 유사도를 이용하여 탐색어를 확장한 질의문 (Q2(0.2), Q2(0.3)), 주제전문가인 이용자가 Q1의 의미적인 관계를 고려해서 자연언어로 탐색어를 확장한 질의문 (Q3)을 검색효율면에서 비교하였다. 실험결과, 평균재현율은 Q2(0.2), Q2(0.3), Q3, Q1의 검색의 순이었다. 평균정확율은 Q3, Q2(0.3), Q1, Q2(0.2)검색의 순으로 나타났다.

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The Re-inspection on The Explanatory Model ofXi Ming of Chu Hsi'sThought of "Li Yi Fen Shu" (朱熹 「理一分殊」 的 <西銘> 詮釋模式再考察)

  • Lin, Le-chang
    • Journal of Korean Philosophical Society
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    • v.141
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    • pp.167-185
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    • 2017
  • Chu Hsi inherited the proposition of Cheng Yi, and it spent him over ten years to finish writing the works of Xi Ming Jie, thus, making the thought of "Li Yi Fen Shu" bethe explanatory model of Xi Ming, therefore, playing the role to determine the tone of Xi Ming. At first, the thought of "Li Yi Fen Shu is a concept to embody the ethical significance of Xi Ming. But in terms of all the discussion about "Li Yi Fen Shu" of Chu Hsi in his life, this proposition is not only for the ethical significance of Xi Ming, but also includes much more general philosophical significance, revealing the general and special relationship of things. The former is the narrow "Li Yi Fen Shu", but the latter is the generalized one. This article won't discuss the generalized one, and it will take the narrow one as the research object. In the past research in academic circles, some scholars thinks that the proposition of "Li Yi Fen Shu" accords with the aim of Xi Ming, some others don't think so. Contrary to both of the two views, this article thinks that there is some conformity and inconformity between the explanatory model of "Li Yi Fen Shu" of Chu Hsi and the aim of Xi Ming. In other words, Contributions and limitations coexist when Chu Hsi explains Xi Ming in the model of "Li Yi Fen Shu", and there is not only the development to the intention of Xi Ming, but alsothe far meaning away from the aim of Xi Ming.

Audience Cognitive Reconstruction of the Extended Meaning of Complex Mechanism Text : For Communication Education using Story Media Expressions (복합기제 텍스트의 확장 의미에 대한 수용자의 인지적 재구성 : 서사적 미디어 표현을 활용한 의사소통 교육을 위해)

  • Lim, Ji-Won
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.7
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    • pp.137-143
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    • 2021
  • This discussion can be said to be a qualitative study on the possibility of linking communication education for college students and literacy education for Korean language-linked educators based on the theory of interpretation of cognitive meaning of media text containing complex mechanisms. The implicit meaning of media content expression used as an interactive communication strategy will be accepted as a multilateral interpretation according to the individual learner's cognitive environment. If so, how is the general media content meaning intended by the content creator being accepted? These doubts are the starting point for discussion. To solve the problem, I leaned on the experimental pragmatic methodology of cognitive aesthetics and applied a model of relevance of cognitive linguistics to connect learners' creative cognitive environment and present content to find a contrast. As a result of the discussion, it was possible to establish a basic framework for learners to express their subjectivity and creative thinking that could connect the cognitive environment and present content themselves. In particular, active and positive learners also revealed direct descriptive expressions to build a new cognitive environment, such as suggesting a third alternative to argue the ability to question produced media texts and the validity of the meaning implied in the text. In the future, since media text containing complex mechanisms is an indirect and persuasive communication behavior that occurs easily through various media in modern society, the universal communication principle of reliable conversation between media text creators and audiences should exist.