• 한국컴퓨터정보학회논문지
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• 제22권2호
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• pp.65-73
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• 2017

The objective of this study is to suggest the templates for the terminology standardization cases of safety standard on integrated management system, so that integrated management of safety standards is introduced to replace redundant, or conflicting functions and performance of these standards. And to carry out the terminology standardization enables management efficiently. Therefore this study suggests and analyzes cases of terminology standardization of domestic and international research trends. In addition to proposes a architectural schema for disaster safety standard and writing disaster safety standardizations of the International Organization for Standardization. For the objectives, the guidelines on standard terminology policy, terminology publication and guide development proposed by the International Organization for Standardization. Disaster safety standards were applied in order to build and utilize integrated management system of disaster safety standards through domestic and foreign cases. Throughout the result of this study, this study will contribute to the analysis and application of semantic knowledge based analysis throughout the ontology information linked the vocabulary to vocabulary by making the template of the disaster safety standards for easy to use and simple etc. This study is to expect traceability for the principle national disaster safety standards resource elements.

• 한국과학교육학회지
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• 제28권7호
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• pp.697-712
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• 2008

The purpose of this study was to seek strengths and weaknesses from analyzing Korea and U.S. science textbooks in terms of general structural features, contents, cognitive levels of questions and the purpose of questions used in science textbooks. This provided insight into improvement of textbooks that can effectively assist teaching and learning. To investigate organization of unit in textbooks in-depth, the evolution unit was selected and scrutinized as one example. The results showed that the number of pages, activities, vocabulary words, and vocabulary lists are considerably different between Korean and the U.S. Commonly, U.S. textbooks were more laden with information and lacking in coherence than those of the Korean textbooks. The findings on the cognitive levels of questions showed that the majority of questions in both nations are concerned with knowledge. However, the difference between the two nations is great in the ratios of analysis, synthesis, and evaluation questions. Questions are concentrated in review section (45% of Korean and 60.6% of U.S.) in textbooks. It suggested that well-planned questions in a review section can provide the basic guidance for strength in a science classroom.

• 한국디지털정책학회:학술대회논문집
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• 한국디지털정책학회 2004년도 International Conference on Digital Policy & Management
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• pp.111-127
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• 2004

In this paper we describe an application of the lexical resource JurWordNet and of the Core Legal Ontology as a descriptive vocabulary for modeling legal domains. It can be viewed as the semantic component of a global standardisation framework for digital governments. A content description model provides a repository of structured knowledge aimed at supporting the semantic interoperability between sectors of Public Administration and the communication processes towards citizen. Specific conceptual models built from this base will act as a cognitive interface able to cope with specific digital government issues and to improve the interaction between citizen and Public Bodies. As a Case study, the representation of the click-on licences for re-using Public Sector Information is presented.

• 한국컴퓨터산업학회논문지
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• 제4권10호
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• pp.587-598
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• 2003

본 연구에서는 학술논문을 대상으로 하여 표제와 초록에 대한 2단계 색인어 유사관계행렬을 구축하였다. 동시출현빈도 기반으로 구축된 색인어 유사관계행렬은 호환관계에 따른 질의 확장으로 재현률을 유지하면서 2단계 내용기반 검색으로 정확률을 향상시키기 위한 색인구조이다. 따라서, 주제 분석을 통해 영역지식을 추출하고 이용자의 정보 요구와 영역지식을 퍼지논리 기반으로 추론하였다. 본 연구는 질의에 본질적으로 가지고 있는 용어 불일치 및 정보표현을 향상시키기 위한 연구이다.

• 말소리와 음성과학
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• 제10권4호
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• pp.53-66
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• 2018

This study investigated the development of English phonological awareness in preschool children based on a longitudinal study. It carried out a phonological matching task, mispronunciation task, articulation test, explicit phoneme awareness task, rhyme matching task, and initial-phoneme matching task for three-, four- and five-year-old children. A letter knowledge test was also added to the tests for the 5-year-old children. The results revealed that the development of phonological awareness follows a progression of syllable, then onset and rhyme, then phoneme. It was also revealed that language skills such as vocabulary, detection of mispronunciations, and articulation were partially related to the development of phoneme awareness. Finally, we also found that letter knowledge partially affected the children's development of phonological awareness.

• 인터넷정보학회논문지
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• 제21권3호
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• pp.123-131
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• 2020

인공지능 기술의 비약적 발전과 함께 사람의 언어를 다루는 자연어 처리 분야 역시 활발하게 연구가 진행되고 있다. 특히 최근에는 구글에서 공개한 언어 모델인 BERT는 대량의 코퍼스를 활용해 미리 학습시킨 모델을 제공함으로써 자연어 처리의 여러 분야에서 좋은 성능을 보이고 있다. BERT에서 다국어 모델을 지원하고 있지만 한국어에 바로 적용했을 때는 한계점이 존재하기 때문에 대량의 한국어 코퍼스를 이용해 학습시킨 모델을 사용해야 한다. 또한 텍스트는 어휘, 문법적인 의미만 담고 있는 것이 아니라 전후 관계, 상황과 같은 문맥적인 의미도 담고 있다. 기존의 자연어 처리 분야에서는 어휘나 문법적인 의미를 중심으로 연구가 주로 이루어졌다. 텍스트에 내재되어 있는 문맥 정보의 정확한 파악은 맥락을 이해하는 데에 있어 중요한 역할을 한다. 단어들의 관계를 이용해 연결한 지식그래프는 컴퓨터에게 쉽게 문맥을 학습시킬 수 있는 장점이 있다. 본 논문에서는 한국어 코퍼스를 이용해 사전 학습된 BERT 모델과 지식 그래프를 이용해 한국어 문맥 정보를 추출하는 시스템을 제안하고자 한다. 텍스트에서 중요한 요소가 되는 인물, 관계, 감정, 공간, 시간 정보를 추출할 수 있는 모델을 구축하고 제안한 시스템을 실험을 통해 검증한다.

• 지능정보연구
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• 제17권4호
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• pp.59-74
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• 2011

웹 2.0 환경에서는 사용자 참여를 통한 지식 생산이 증가하고 있으며, 이러한 지식들을 효과적으로 분류하고 공유하기 위한 방법으로 태그 기반의 단일 폭소노미가 활용되고 있다. 그러나 단일 폭소노미를 구성하는 태그들은 단일 태그로 구성되어 있어 그 의미가 불명확하다. 이를 위해 태그간의 관계성이 명시된 구조화된 폭소노미를 구축하는 연구들이 진행되었다. 그러나 이러한 연구들에서도 태그의 의미를 정의하기 위해 미리 정의된 용어집을 사용하기 때문에 용어집에 없는 새로운 태그는 정의할 수 없고, 수작업으로 태그의 의미를 정의할 때 시간이 소요되는 문제점이 발생하였다. 본 연구에서는 사용자가 태그를 입력할 때 입력된 태그가 속할 수 있는 카테고리를 미리 정의된 용어집 없이 자유롭게 정의할 수 있는 카테고리형 태깅 방식을 제안하고자 한다. 또한 사용자들로부터 수집된 카테고리형 태그들을 이용하여 다수의 사용자가 생각하는 태그의 관계를 구조화된 폭소노미에 반영하는 기술을 언급하고자 한다. 끝으로 본 연구에서 제시한 방법들이 조직의 지식 분류와 검색에 활용될 수 있음을 증명하기 위해, 카테고리형 태그 기반의 지식조직체계를 시스템으로 구현하였다.

• 한국CDE학회논문집
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• 제11권4호
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• pp.273-288
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• 2006

Information integration of heterogeneous digital parts libraries or electronic pars catalogs is one of issues in B2B procurements. We need to provide an integrated view for multiple information sources. Utilization of ontologies as the metadata descriptions of the information sources can provide an integrated view. However, in order to integrate independently developed ontologies, the mismatches among them should be resolved. In this paper, we propose an ontology of meta-concepts, i.e. meta-ontology. The meta-concepts play the role of vocabulary to describe the parts library ontologies and provide well-established ontological semantics that helps the ontology modelers to consistently identify parts library concepts and systematically structure them. Consequently, the meta-ontology reduces the differences in the way the parts knowledge is interpreted and ensures the mismatches are confined to manageable mis matches, so that a software program can merge automatically. Modeling ontologies of mold and die parts libraries for B2B e-commerce is taken as an example to show how to use the meta-ontology. We also discuss how a parts library mediation system can automatically merge the well-structured parts library ontologies.

• International Journal of Knowledge Content Development & Technology
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• 제7권2호
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• pp.41-51
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• 2017

Nowadays, research data repositories (RDR) have become progressively widespread all over the world. To expand repository services and build up inbound linking strategy, organizations list their repositories with so called Global Registries. Accordingly, such registries should be carefully described by the related data. In this study, I explore the metadata schema of re3data.org. I collect and analyze descriptions from the listed repositories, and come up with some suggestions concerning possible improvements to the metadata schema. To accomplish this, I develop a crawler program, which collects necessary data from the re3data.org. Based on the analysis results, I have identified two issues that required elements is missing, one issue that required element value is missing when the corresponding property is applied, five inconsistency issues with re3data controlled vocabulary, six issues with undescribed optional elements, and two inconsistency issues between the elements and their attributes which do not pair with. I believe this discussion can facilitate improvements to the existing re3data.org schema and further help researchers who analyze data repository trends.

• Journal of Information Science Theory and Practice
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• 제8권4호
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• pp.67-86
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• 2020

Information need has been one of the main motivations for a person using a search engine. Queries can represent very different information needs. Ironically, a query can be a poor representation of the information need because the user can find it difficult to express the information need. Query Expansion (QE) is being popularly used to address this limitation. While QE can be considered as a language-independent technique, recent findings have shown that in certain cases, language plays an important role. Arabic is a language with a particularly large vocabulary rich in words with synonymous shades of meaning and has high morphological complexity. This paper, therefore, provides a review on QE for Arabic information retrieval, the intention being to identify the recent state-of-the-art of this burgeoning area. In this review, we primarily discuss statistical QE approaches that include document analysis, search, browse log analyses, and web knowledge analyses, in addition to the semantic QE approaches, which use semantic knowledge structures to extract meaningful word relationships. Finally, our conclusion is that QE regarding the Arabic language is subjected to additional investigation and research due to the intricate nature of this language.