• 한국초등과학교육학회지:초등과학교육
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• 제35권2호
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• pp.194-204
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• 2016

The purpose of this study is to find out the relationship between types and sources of background knowledges of elementary preteachers' questions about astronomy contents in the elementary science text books. Data were extracted from the preteachers' classes established in a university of education. The results are as follows. First, right background knowledges of questions were found in about 58% questions, wrong background knowledges 15%, and no background knowledges 26%. Second, it was found that 'school' as a source of background knowledges was found in 29% questions, 'friend' 21%, 'internet' 14%, 'book reading' 12%, 'others' 9%, 'TV' 7%, 'institute' 4%. In case of the type that right background knowledges have casual relation or correlation with question contents, 'book reading' and 'TV' sources rate increased, but 'internet' and 'others' decreased when compared to total questions. In the type which background knowledges are right and did not have casual relation or correlation with question contents, 'internet' source rate increased and 'friend' decreased. In case of the type that wrong background knowledges do not have casual relation or correlation with question contents, 'friend' and 'TV' sources rate increased, but 'school' and 'book reading' decreased. The type which background knowledges are right and did not have casual relation or correlation with question contents, 'internet' source rate increased and 'friend' decreased. In case of the type of no background knowledges, 'TV' and 'institute' source rate increased, but 'internet' and 'book reading' decreased. Third, the questions in 'Earth and Moon' unit have little background knowledges. The questions in 'solar system and stars' have background knowledges with no relation to the questions. Especially, in the unit 'changes of seasons', right background knowledges were found in more than half questions, but the contents of questions and background knowledges were not connected scientifically.

• Asia pacific journal of information systems
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• 제2권1호
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• pp.77-92
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• 1992

We presents a source module implementation system using building blocks as one of the software reusing approach. Based on module text retrieval system, system is composed of library management program and new module making program for module management. We build a software module by virtue of the reuser's customization and by applying a practical module to this model and then proved that program development through reusing approach is better than that of writing out a source code directly.

• International Journal of Computer Science & Network Security
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• 제22권3호
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• pp.396-404
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• 2022

Online social networks contain a large amount of data that can be converted into valuable and insightful information. Text mining approaches allow exploring large-scale data efficiently. Therefore, this study reviews the recent literature on text mining in online social networks in a way that produces valid and valuable knowledge for further research. The review identifies text mining techniques used in social networking, the data used, tools, and the challenges. Research questions were formulated, then search strategy and selection criteria were defined, followed by the analysis of each paper to extract the data relevant to the research questions. The result shows that the most social media platforms used as a source of the data are Twitter and Facebook. The most common text mining technique were sentiment analysis and topic modeling. Classification and clustering were the most common approaches applied by the studies. The challenges include the need for processing with huge volumes of data, the noise, and the dynamic of the data. The study explores the recent development in text mining approaches in social networking by providing state and general view of work done in this research area.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2001년도 추계학술대회 학술발표 논문집
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• pp.51-55
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• 2001

With the rapid growth of the World Wide Web and electronic information services, information is becoming available on-Line at an incredible rate. One result is the oft-decried information overload. No one has time to read everything, yet we often have to make critical decisions based on what we are able to assimilate. The technology of automatic text summarization is becoming indispensable for dealing with this problem. Text summarization is the process of distilling the most important information from a source to produce an abridged version for a particular user or task. Information retrieval(IR) is the task of searching a set of documents for some query-relevant documents. On the other hand, text summarization is considered to be the task of searching a document, a set of sentences, for some topic-relevant sentences. In this paper, we show that document information, that is more reliable and suitable for query, using document length normalization of which is gained through information retrieval . Experimental results of this system in newspaper articles show that document length normalization method superior to other methods use query itself.

• 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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• 한국정보과학회언어공학연구회 2014년도 제26회 한글 및 한국어 정보처리 학술대회
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• pp.187-192
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• 2014

인터넷과 스마트기기 발전으로 정보에 대한 접근이 쉬워짐에 따라 다른 문서에 대한 표절 행위가 쉽게 이루어지고 있습니다. 그리고 표절 검사를 수행하는데 시간적, 인적, 공간적 낭비가 이루어진다. 이러한 낭비와 표절에 대한 경각심을 일으키고자 본 논문에서는 표절 검사 속도 향상을 위한 표절 원본 문서 추출(source retrieval)과 추출된 문서의 단어를 이용하는 표절 위치 탐색(text alignment)기법을 이용하여 표절구간을 찾는 방법을 제안한다. 본 논문의 표절 원본 문서 추출 및 표절 위치 탐색 기법을 활용하면 표절 검사의 시간과 정확도가 향상될 것으로 기대한다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2016년도 추계학술대회
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• pp.89-92
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• 2016

최근 시리(siri)와 같이 사람의 말을 인식하고 대답해주는 서비스를 스마트폰 혹은 웹서비스로 제공해주고 있다. 이러한 지능형 처리를 위해서는 음성을 받아 드리고 웹상의 빅테이타를 검색하고 구문으로 분석, 정확도 부여등의 구현이 필요하다. 본 논문에서는 공개된 소스를 기반으로 하여 음성인식하는 ASR(Automatic Speech Recognition), 질문에 대한 내용을 데이터로 분석하고 응답을 만드는 QAS (Question Answering System), 결과를 음성으로 전달하는 TTS(Text to Speech) 로 구분하고 하나의 시스템으로 구현하는 연구와 분야별 적용될 수 있는 방법을 제안하고자 한다.

• 한국신뢰성학회:학술대회논문집
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• 한국신뢰성학회 2001년도 정기학술대회
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• pp.427-434
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• 2001

We consider reliability education and training in USA including education/research institute, text, seminar/course, symposium, publications, organizations, standards, website, multimedia source, and so on.

• 한국동물학회:학술대회논문집
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• 한국동물학회 1998년도 한국생물과학협회 학술발표대회
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• pp.180.1-180
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• 1998

No Abstract, See Full Text

• 한국동물학회:학술대회논문집
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• 한국동물학회 2003년도 한국생물과학협회 학술발표대회
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• pp.179.4-179
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• 2003

No Abstract, See Full Text

• 한국동물학회:학술대회논문집
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• 한국동물학회 2003년도 한국생물과학협회 학술발표대회
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• pp.21-21
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• 2003

No Abstract, See Full Text