• Journal of the Korean Institute of Intelligent Systems
• /
• v.23 no.4
• /
• pp.325-331
• /
• 2013

This paper a framework and method for resolving word sense disambiguation and present the results. In this work, WordNet is used for two different purposes: one as a dictionary and the other as an ontology, containing the hierarchical structure, representing hypernym-hyponym relations. The advantage of this approach is twofold. First, it provides a very simple method that is easily implemented. Second, we do not suffer from the lack of large corpus data which would have been necessary in a statistical method. In the future this can be extended to incorporate other relations, such as synonyms, meronyms, and antonyms.

• Journal of the Korean Society for information Management
• /
• v.18 no.2
• /
• pp.295-322
• /
• 2001

The purpose of this study is to present a scheme to encode all possible lexical entities in dictionaries, glossaries, encyclopedias, and thesaurus, etc. First, it discussed the nature and structure of dictionaries. Second, two current major terminological data encoding schemes, MARTIF and TEI were analyzed in terms of their flexibility for extension to encompass all lexical entities. Third, an integrated microstructure of dictionaries was presented and compared with the MARTIF and TEI for print dictionaries. Then, the need and 17 suggestions for extended MARTIF and TEI formats were addressed with specific cases, which combined with the suggestions from two studies concerning MARTIF and TEI DTD modification for the markup of Korean dictionary entries.

• Journal of the Korean Society for Library and Information Science
• /
• v.41 no.4
• /
• pp.387-412
• /
• 2007

This study designed a suitable preservation metadata for archives of Korean traditional arts. To accomplish this task, we consulted OAIS reference model and PREMIS data dictionary, analyzed various preservation metadata. and surveyed resource characteristics of Korean traditional arts. We adopted elements with namespaces, honored original definitions and scopes by not violating principles of designing application profiles, and extended elements where necessary.

• English Language & Literature Teaching
• /
• v.15 no.4
• /
• pp.37-54
• /
• 2009

This study investigated vocabulary learning strategies used by EFL middle school learners in Korea and examined the relationship between the middle school learners' vocabulary learning strategy (VLS) use and their vocabulary proficiency level. One hundred and forty-one students in a public middle school participated in the study and the data for this study were collected from a vocabulary learning strategy questionnaire and a vocabulary proficiency test. Based on the result of the vocabulary proficiency test, the participants were divided into three proficiency groups: high-, mid- and low- level proficiency groups. The overall findings of the study revealed that the participants used cognitive strategies most frequently and social strategies least frequently. The most frequently used individual strategies were 'using a bilingual dictionary,' 'studying the sound of a word' and 'practicing words through verbal repetition.' The least frequently used ones were 'interacting with native speakers' and 'studying or practicing the meaning of a word in a group.' The research results also showed that the vocabulary proficiency level has a significant influence on the vocabulary strategy use. The more proficient learners used vocabulary learning strategies more actively. More specifically, the high proficiency level group used metacognitive strategies the most. The middle and low proficiency groups used cognitive strategies the most. It is suggested that language teachers should facilitate the vocabulary learning process by helping learners develop appropriate strategies.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2002.11b
• /
• pp.1119-1122
• /
• 2002

본 논문에서는 Ford와 Kaliski[6]가 제안한 패스워드 은닉 기술을 적용하여 클라이언트와 서버의 은닉 변수로 은닉된 값을 서버가 패스워드 검증자로 사용하는 새로운 패스워드 기반 키 교환 프로토콜을 제안한다. 제안하는 프로토콜은 패스워드 검증자를 비밀리에 보관하여야하는 다른 검증자 기반 방식과 달리 클라이언트와 서버의 은닉 변수가 적용된 검증자를 사용하여 서버의 패스워드 검증자에 대한 안전성을 증가시켰다. 또한 Nyberg-Ruppel 방식[4]을 적용하여, 한번의 통신으로 사용자 인증과 키 교환을 할 수 있다. 본 논문에서 제안하는 프로토콜 안전성은 이산대수문제인 DLP(Discrete logarithm Problem)와 DHP(Diffie-Hellman Problem)[6]에 의존한다. 따라서 DLP와 DHP의 가정하에, 제안된 프로토콜은 오프라인 사진공격(off-line dictionary attack), 서버 데이터 도청(server data eavesdropping), 전향적 안전성(forward secrecy), Denning-Sacco 공격[1]에 대하여 안전하다.

• Proceedings of the Safety Management and Science Conference
• /
• 2007.04a
• /
• pp.113-123
• /
• 2007

Through so that accident of semiconductor industry deduces unsafe factor of the person center on unsafe behaviour that incident history and questionnaire and I made starting point that extract very important factor. It served as a momentum that make up base that analyzes factors that happen based on factor that extract factor cause classification for the first factor, the second factor and the third factor and presents model of human error. Factor for whole defines factor component for human factor and to cause analysis 1 stage in human factor and step that wish to do access of problem and it do analysis cause of data of 1 step. Also, see significant difference that analyzes interrelation between leading persons about human mistake in semiconductor industry and connect interrelation of mistake by this. Continuously, dictionary road map to human error theoretical background to basis traditional accidental cause model and modern accident cause model and leading persons. I wish to present model and new model in semiconductor industry by backbone that leading persons of existing scholars who present model of existent human error deduce relation. Finally, I wish to deduce backbone of model of pre-suppression about accident leading person of the person center.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2014.01a
• /
• pp.429-432
• /
• 2014

국내 제약산업의 경쟁력을 제고시키기 위해서는 신약의 심사/허가 기간을 단축시켜 급변하게 변하는 글로벌 제약시장에서 경쟁 우위적 위치를 선점할 수 있도록 기회를 제공할 수 있도록 체계 개선이 시급하다. 신약허가를 위해서는 임상시험 결과에 대한 안전성과 유효성 등에 대한 심사가 수행되게 된다. 하지만 현재 신약허가를 위해서 제약사와 임상시험수탁기관(Contract Research Organization, CRO)에서 데이터 정보체계인 Domain, Variable 및 Parameter 등의 표준을 따르지 않고 다양한 유형의 임상정보데이터를 심사기관에 제출하고 있어 이로 인한 심사기간 증가와 심사업무 비효율성을 야기시키고 있다. 따라서 본 연구에서는 국제민간기구인 CDISC (Clinical Data Interchange Standards Consortium)에서 제정한 글로벌 임상데이터 표준인 CDISC 표준을 준용한 국내 임상시험정보관리 체계 (eCTD 시스템)및 의약품 전주기적 관리체계를 제시하고자 하며, 본 연구를 통한 기대효과로는 국제표준의 임상정보관리 인프라 구축으로 인한 국내 신약개발 및 해외 진출 환경을 마련하여 글로벌 시장선점의 기회를 제공할 수 있고, 규제기관 차원에서는 의약품 허가, 심사업무의 효율성 증가는 물론 전주기적 의약품 안전관리체계를 마련할 수 있을 것으로 사료된다.

• Annual Conference on Human and Language Technology
• /
• 2006.10e
• /
• pp.183-188
• /
• 2006

본 논문에서 위치 정보 데이터란 텔레메틱스 분야의 응용을 위하여 웹상에서 수집한 Point-of-Interest (POI) 데이터로서 행정구역 및 지명 인명, 상호명과 같은 위치 검색에 사용되는 어휘로 구성된다. 본 논문은 음성 인식 시스템을 구성하는 발음 사전의 개발에 관한 것으로 250k 위치 정보데이터로부터 운율어를 이용하여 불규칙 발음과 발음 변이를 포함하는 가능한 모든 발음을 생성하는 방법을 제안하는 것을 목적으로 한다. 원래 모든 POI 는 한 번씩만 데이터에 포함되어 있으므로, 그 가운데 불규칙 발음을 포함하는 POI를 검출하거나 발음을 생성하기 위해서는 각각의 POI 하나하나를 일일이 검토하는 방법밖에 없는데, 대부분의 POI 가 복합명사구로 이루어졌다는 점에 착안하여 운율어를 이용한 결과, 불규칙 발음 검출과 다중 발음 생성을 효율적으로 수행할 수 있었다. 이러한 연구는 음성처리 영역에서는 위치정보데이터의 음성인식 성능을 향상하는 데 직접적인 기여를 할 수 있고, 무엇보다도 음성학과 음운론 이론을 음성 인식 분야에 접목한 학제적 연구로서 그 의미가 있다고 할 수 있다.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.10 no.8
• /
• pp.1986-1992
• /
• 2009

A user often searches a data by inputting a variant such as the abbreviation or substring of a word, or a misspelled word. The simple approach to the searching for variants is to build a variants dictionary. However, it entails enormous cost and time and can not handle variants by misspelling. Approximate searching, searching by approximate string matching, is a good approach to the searching. A problem in the approach is that it cannot handle variants by abbreviations. This paper propose a method for searching various variants including abbreviations and misspelled words, by using the trie indexing. First, this paper shows a variant matching method with the calculation of path weighted-metric. In addition, it provides variant searching algorithm to reduce the search time.

• KIPS Transactions on Software and Data Engineering
• /
• v.5 no.11
• /
• pp.563-568
• /
• 2016

The word sense disambiguation problem is to find the correct sense of an ambiguous word having multiple senses in a dictionary in a sentence. We regard this problem as a multi-class classification problem and classify the ambiguous word by using Support Vector Machines. Context words of the ambiguous word, which are extracted from Sejong sense tagged corpus, are represented to two kinds of vector space. One vector space is composed of context words vectors having binary weights. The other vector space has vectors where the context words are mapped by word embedding model. After experiments, we acquired accuracy of 87.0% with context word vectors and 86.0% with word embedding model.