• Title/Summary/Keyword: 텍스트 연구

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Design and Application of Geography Value Instruction of Using A Narrative (내러티브를 활용한 지리 가치 수업의 설계 및 적용)

  • Shin, Jingeol
    • Journal of the Korean association of regional geographers
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    • v.20 no.4
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    • pp.484-503
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    • 2014
  • This study is to point out importance of narrative as a way of learning values and interests for learners. Thus, geography value instruction models with narrative was developed and applied to teaching model. The results are as follows: First, narrative is useful to value education. Because narrative includes the contextual information, leaners are able to make a moral decision in respect of socio-cultural approach and to reach more truthful and practical decision with empathic understanding. Second, comparing with an expository text, the narrative text is more interesting, understandable, and preferred. Third, Web of meaning, one of scaffolding skills, is helpful to expand the scope of learner's thinking and group activity. Fourth, learner's awareness toward the topic changes. However, it is required to develop a practical method for elaborate assessment tool and for learners' active participation.

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Generating and Controlling an Interlinking Network of Technical Terms to Enhance Data Utilization (데이터 활용률 제고를 위한 기술 용어의 상호 네트워크 생성과 통제)

  • Jeong, Do-Heon
    • Journal of the Korean Society for information Management
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    • v.35 no.1
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    • pp.157-182
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    • 2018
  • As data management and processing techniques have been developed rapidly in the era of big data, nowadays a lot of business companies and researchers have been interested in long tail data which were ignored in the past. This study proposes methods for generating and controlling a network of technical terms based on text mining technique to enhance data utilization in the distribution of long tail theory. Especially, an edit distance technique of text mining has given us efficient methods to automatically create an interlinking network of technical terms in the scholarly field. We have also used linked open data system to gather experimental data to improve data utilization and proposed effective methods to use data of LOD systems and algorithm to recognize patterns of terms. Finally, the performance evaluation test of the network of technical terms has shown that the proposed methods were useful to enhance the rate of data utilization.

Ontology based Retrieval System for Cultural Assets Using Hybrid Text-Sketch Queries (혼합형 질의 방법에 의한 온톨로지 기반 유물 검색 시스템)

  • Cheon Hyeon-Jae;Baek Seung-Jae;Lee Hong-Chul
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.5 s.37
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    • pp.17-26
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    • 2005
  • With the rapidly Slowing information, the research on the effcient information retrieval is increasing. Most of the retrieval systems for domestic cultural assets on the web have adopted a keyword-based search method. Those systems have required users to know the exact information about cultural assets such as name, keyword, etc. However, it is not easy to search the cultural assets with little information or only a remembrance of the shape. In this paper, we propose the retrieval system for cultural assets using both ontology-based and sketch-based search method to solve the Problems of existing systems. Our retrieval system allows users to use both text and sketch for a Query regardless of the type of information about cultural assets and to search in results using the ontology.

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Obscene Material Searching Method in WWW (WWW상에서 음란물 검색기법)

  • 노경택;김경우;이기영;김규호
    • Journal of the Korea Society of Computer and Information
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    • v.4 no.2
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    • pp.1-7
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    • 1999
  • World-Wide Web(WWW) is a protocol for changing information exchanges which is central to text documents in the existing network to make a multimedia data exchanges. It is possible for a beginner to search and access data which he wants to find as data were stored in the form of hypertext. The easiness for searching and accessing the multimedia data in WWW makes a important role for obscene materials to be toward generalization and multimedia and occurs social problems for them to be commercialized, while other researchers have actively studied the way to block effectively the site providing obscene materials for solving such problems. This paper presents and implements the blocking method for the sites having obscene material as it effectively search them. The proposed model was based on Link-Based information retrieval method and proved that it accomplished more efficient retrieval of relevant documents than probabilistic model when compared the one with the other which is known to generate the most correct results. The improvements in the average recall and precision ratio were shown as 12% and 8% respectively. Especially, the retrieval capability of relevant documents which include non-text data and have a few links increased highly.

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Analysis of error data generated by prospective teachers in programming learning (예비교사들이 프로그래밍 학습 시 발생시키는 오류 데이터 분석)

  • Moon, Wae-shik
    • Journal of The Korean Association of Information Education
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    • v.22 no.2
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    • pp.205-212
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    • 2018
  • As a way to improve the software education ability of the pre - service teachers, we conducted programming learning using two types of programming tools (Python and Scratch) at the regular course time. In programming learning, various types of errors, which are factors that continuously hinder interest, achievement and creativity, were collected and analyzed by type. By using the analyzed data, it is possible to improve the ability of pre-service teachers to cope with the errors that can occur in the software education to be taught in the elementary school, and to improve the learning effect. In this study, logic error (37.63%) was the most frequent type that caused the most errors in programming in both conventional language that input text and language that assembles block. In addition, the detailed errors that show a lot of differences in the two languages are the errors of Python (14.3%) and scratch (3.5%) due to insufficient use of grammar and other errors.

Design and Construction of Interactive Web-based Instruction System for Fashion Design (양방향 웹기반 의상디자인 교육시스템의 설계 및 구축)

  • Kim, LeeYoung;Park, Meegnee
    • The Journal of Korean Association of Computer Education
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    • v.7 no.5
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    • pp.33-43
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    • 2004
  • Fashion design education essentially requires not only a theoretical but also a practical process in which feedback comes through personal interactions between an instructor and a student. But the existing WBI system exemplifies its limitations by applying only a one-way Distance Education methodology that limit interactions based only on the theoretical texts. This study affirms that distance learning system is possible for the applied component of the fashion design curriculum as long as the specific needs of the particular program is taken into consideration and systematically applied. So it designed and applied an original web-based distance educational system specifically incorporating the needs of the fashion design curriculum Thus the results show that the enhanced distance education system is a tool that could be effectively utilized with the same degree of success as the traditional classroom as long as the traditional teaching component of direct interaction necessary to the fashion design program is incorporated.

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Language Models Using Iterative Learning Method for the Improvement of Performance of CSR System (연속음성인식 시스템의 성능 향상을 위한 반복학습법을 이용한 언어모델)

  • Oh Se-Jin;Hwang Cheol-Jun;Kim Bum-Koog;Jung Ho-Ynul;Chung Hyun-Yeol
    • Proceedings of the Acoustical Society of Korea Conference
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    • spring
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    • pp.82-85
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    • 1999
  • 본 연구에서는 연속음성인식 시스템의 성능 향상을 위하여 음성의 채록환경 및 데이터량 등을 고려한 효과적인 언어모델 작성방법을 제안하고, 이를 항공편 예약시스템에 적용하여 성능 평가 실험을 실시한 결과 $91.6\%$의 인식률을 얻어 제안한 방법의 유효성을 확인하였다. 이를 위하여 소량의 200문장의 항공편 예약 텍스트 데이터를 이용하여 좀더 강건한 단어발생 확률을 가지도록 하기 위해 일반적으로 대어휘 연속음성인식에서 많이 이용되고 있는 단어 N-gram 언어모델을 도입하고 이를 다양한 발성환경을 고려하여 1,154문장으로 확장한 후 동일 문장'을 반복 학습하여 언어모델을 작성하였다. 인식에 있어서는 오인식과 문법적 오류를 최소화하기 위하여 forward - backward pass 방법의 stack decoding알고리즘을 이용하였다. 인식실험 결과, 평가용 3인의 200문장을 각 반복학습 회수에 따라 학습한 각 언어모델에 대해 평가한 결과, forward pass의 경우 평균 $84.1\%$, backward pass의 경우 평균 $91.6\%$의 문장 인식률을 얻었다. 또한, 반복학습 회수가 증가함에 따라 backward pass의 인시률의 변화는 없었으나, forward pass의 경우, 인식률이 반복회수에 따라 증가하다가 일정값에 수렴함을 알 수 있었고, 언어모델의 복잡도에서도 반복회수가 증가함에 따라 서서히 줄어들며 수렴함을 알 수 있었다. 이상의 결과로부터 소량의 텍스트 데이터를 이용한 제한된 태스크에서 언어모델을 작성할 때 반복학습 방법이 유효함을 확인할 수 있다.

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A Tensor Space Model based Semantic Search Technique (텐서공간모델 기반 시멘틱 검색 기법)

  • Hong, Kee-Joo;Kim, Han-Joon;Chang, Jae-Young;Chun, Jong-Hoon
    • The Journal of Society for e-Business Studies
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    • v.21 no.4
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    • pp.1-14
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    • 2016
  • Semantic search is known as a series of activities and techniques to improve the search accuracy by clearly understanding users' search intent without big cognitive efforts. Usually, semantic search engines requires ontology and semantic metadata to analyze user queries. However, building a particular ontology and semantic metadata intended for large amounts of data is a very time-consuming and costly task. This is why commercialization practices of semantic search are insufficient. In order to resolve this problem, we propose a novel semantic search method which takes advantage of our previous semantic tensor space model. Since each term is represented as the 2nd-order 'document-by-concept' tensor (i.e., matrix), and each concept as the 2nd-order 'document-by-term' tensor in the model, our proposed semantic search method does not require to build ontology. Nevertheless, through extensive experiments using the OHSUMED document collection and SCOPUS journal abstract data, we show that our proposed method outperforms the vector space model-based search method.

Analysis of the Influence of Presidential Candidate's SNS Reputation on Election Result: focusing on 19th Presidential Election (대선후보의 SNS 평판이 선거결과에 미치는 영향 분석 - 19대 대선을 중심으로 -)

  • Lee, Ye Na;Choi, Eun Jung;Kim, Myuhng Joo
    • Journal of Digital Convergence
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    • v.16 no.2
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    • pp.195-201
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    • 2018
  • Smartphones and PCs have become essential components of our daily life. People are expressing their opinions freely in SNS by using these devices. We are able to predict public opinions on specific subject by analyzing the related big data in SNS. In this paper, we have collected opinion data in SNS and analyzed reputation by text mining in order to make a prediction for the will of the people before 19th presidential election in South Korea. The result shows that our method makes more accurate estimate than other election polls.

A Study on the Site Selection Process of Field Emergency Medical Facilities Based on Text Mining (텍스트마이닝 기반의 재난현장 응급의료시설 대상지선정 프로세스 연구)

  • Suh, Sangwook
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.24 no.2
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    • pp.27-36
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    • 2018
  • Purpose: In the case of mass disaster, the establishment of temporary medical facilities for the first aid and treatment is required for the stable accommodation of patients caused by the disaster. However, the criteria for decision making related to the deployment of field emergency medical facilities are not specified. So, The purpose of this study is to draw considerable factors needed for the deployment of field emergency medical facilities and to make proposal for site selection process of field emergency medical facilities on the basis of the factor. Methods: This study performs text mining of disaster-related laws, guidelines and documents to derive key factors affecting site selection, also proposes a decision making process and conducts virtual deployment to validate the process. Results: The key factors for the site selection derived as the size of the damage, the size of the DMAT inputs, the location of available place, and distance to the disaster base hospital. As a result of virtual deployment following proposed decision making process, It is confirmed that the site of field emergency medical facilities is changed depending on the type of disaster, even if the scope of the disaster damage was the same. Implications: The deployment of field emergency medical facilities requires a separate criteria for each type of disaster, not uniform, as a future research a quantitative approach of the criteria needs to be performed.