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Semantic Clustering Model for Analytical Classification of Documents in Cloud Environment (클라우드 환경에서 문서의 유형 분류를 위한 시맨틱 클러스터링 모델)

  • Kim, Young Soo;Lee, Byoung Yup
    • The Journal of the Korea Contents Association
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    • v.17 no.11
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    • pp.389-397
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    • 2017
  • Recently semantic web document is produced and added in repository in a cloud computing environment and requires an intelligent semantic agent for analytical classification of documents and information retrieval. The traditional methods of information retrieval uses keyword for query and delivers a document list returned by the search. Users carry a heavy workload for examination of contents because a former method of the information retrieval don't provide a lot of semantic similarity information. To solve these problems, we suggest a key word frequency and concept matching based semantic clustering model using hadoop and NoSQL to improve classification accuracy of the similarity. Implementation of our suggested technique in a cloud computing environment offers the ability to classify and discover similar document with improved accuracy of the classification. This suggested model is expected to be use in the semantic web retrieval system construction that can make it more flexible in retrieving proper document.

Multi-class Support Vector Machines Model Based Clustering for Hierarchical Document Categorization in Big Data Environment (빅 데이터 환경에서 계층적 문서 유형 분류를 위한 클러스터링 기반 다중 SVM 모델)

  • Kim, Young Soo;Lee, Byoung Yup
    • The Journal of the Korea Contents Association
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    • v.17 no.11
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    • pp.600-608
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    • 2017
  • Recently data growth rates are growing exponentially according to the rapid expansion of internet. Since users need some of all the information, they carry a heavy workload for examination and discovery of the necessary contents. Therefore information retrieval must provide hierarchical class information and the priority of examination through the evaluation of similarity on query and documents. In this paper we propose an Multi-class support vector machines model based clustering for hierarchical document categorization that make semantic search possible considering the word co-occurrence measures. A combination of hierarchical document categorization and SVM classifier gives high performance for analytical classification of web documents that increase exponentially according to extension of document hierarchy. More information retrieval systems are expected to use our proposed model in their developments and can perform a accurate and rapid information retrieval service.

Evaluation of the Quality of the Case Reports in Journal of Korean Medicine from Year 2015 to 2020 : Using CARE Guidelines (CARE 지침에 따른 대한한의학회지의 증례 보고에 대한 질 평가 연구: 2015년~2020년 증례 보고를 중심으로)

  • Hwang, Ji Hye;Ku, Jaseung;Nam, Eun-Young
    • The Journal of Korean Medicine
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    • v.41 no.2
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    • pp.80-95
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    • 2020
  • Objectives: The purpose of this study is to assess the quality of the Journal of Korean medicine case reports. Methods: Case reports published in the Journal of Korean Medicine from January 2015 to March 2020 were selected by using Oriental Medicine Advanced Searching Integrated System (OASIS) and the journal search system of the Korean Medical Association (https://www.jkom.org). The quality of the case reports was assessed using the Consensus-based Clinical Case Reporting Guideline Development (CARE) guidelines. Results: 33 case reports were selected for the assessment. Based on the CARE guidelines, 61.54% of the case reports included necessary information, but the quality level was uneven. More than 60% of the reports were missing data regarding 'Discussion of the strengths and limitations in your approach to this case', 'Intervention adherence and tolerability', 'Timeline', 'Medical, family, and psychosocial history including relevant genetic information', 'Patient perspective or experience', 'Adverse and unanticipated events', 'Administration of intervention', and 'De-identified demographic information and other patient specific information'. In most reports of over 90%, data regarding 'Diagnostic challenges', 'Intervention adherence and tolerability', and 'Key word' were not included. Conclusions: Efforts are needed to improve the quality of case reports in the Journal of Korean Medicine, and it is necessary to develop appropriate guidelines for case reporting for the Journal of Korean Medicine. In addition, all articles submitted to the Journal of Korean Medicine are to be complied with submission instructions and CARE guidelines.

Design and Implementation of a OPAC Prototype for Digital Kids ('디지털 키즈'를 위한 OPAC 프로토타입 개발에 관한 연구)

  • Rho, Jee-Hyun;Lee, Eun-Ju
    • Journal of Korean Library and Information Science Society
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    • v.47 no.1
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    • pp.175-198
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    • 2016
  • This study intends to implement a OPAC prototype for digital kids. To the end, this study applies prototyping techniques that design, evaluate and improve an early sample model. Included in this study are as follows: (1) design a conceptual model of new OPACs based on the information need analysis of digital kids, (2) implement a OPAC prototype with WordPress 4.2 version, (3) evaluate the prototype OPAC from the viewpoint of digital kids and children librarians, and finally, (4) suggest the improved model and implementational strategies for kid's OPAC. 6 fourth and fifth graders in the elementary school and 5 children librarians in public libraries participate in the final evaluation process.

XML Document Keyword Weight Analysis based Paragraph Extraction Model (XML 문서 키워드 가중치 분석 기반 문단 추출 모델)

  • Lee, Jongwon;Kang, Inshik;Jung, Hoekyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.11
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    • pp.2133-2138
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    • 2017
  • The analysis of existing XML documents and other documents was centered on words. It can be implemented using a morpheme analyzer, but it can classify many words in the document and cannot grasp the core contents of the document. In order for a user to efficiently understand a document, a paragraph containing a main word must be extracted and presented to the user. The proposed system retrieves keyword in the normalized XML document. Then, the user extracts the paragraphs containing the keyword inputted for searching and displays them to the user. In addition, the frequency and weight of the keyword used in the search are informed to the user, and the order of the extracted paragraphs and the redundancy elimination function are minimized so that the user can understand the document. The proposed system can minimize the time and effort required to understand the document by allowing the user to understand the document without reading the whole document.

A Point-Of-Interest Allomorph Database Construction System (POI 이형태 데이타베이스 구축 시스템)

  • Yang, Seung-Weon;Lee, Hyun-Young;Wang, Ji-Hyun
    • Journal of KIISE:Software and Applications
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    • v.36 no.3
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    • pp.226-235
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    • 2009
  • People use various information for searching POI in the navigation system such as name, category, address, phone number. Most of users use name and category to search their POT. They don't know exact name in POI DB provided by Maker. They use abbreviated or generalized name as key word for searching POI. Because of these reasons, the hit ratio has been very low. In this paper, We suggest a extra DB_construction system for raising the hit ratio. It generates allomorphes DB link to the POI name in original DB. We classified the POI names in original DB into seven types of allomorph by analyzing the gathered patterns from the POI DB which has over 650,000 entries. For auto_generating the allomorphes, we made 577 rules based on the classified types. And we generated the allomorphes manually for the entries which are difficult to make the rule and has low frequency The generated allomorphes account for 35.8% of all original DB. The hit ratio is 89% under suggested system.

A Review of Research Trends in Gold Implantation Therapy Focused on Gold Thread, Gold Needle and Gold Bead (금사, 금침, 금주를 중심으로 한 금(金)의 인체 내 매장요법에 대한 연구동향 고찰연구)

  • Jo, Dae Hyun;Baatarkhuyag, Ariunchimeg;Jo, Ye Eun;Lee, Sang Hoon;Lee, Jae Dong
    • Journal of Acupuncture Research
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    • v.33 no.1
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    • pp.79-93
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    • 2016
  • Objectives : The purpose of this study is to explore research trends in gold implantation therapy performed on the animal and human body, through a review of clinical studies focused on gold thread, gold needle and gold bead. Methods : Medical databases, including Pubmed, CENTRAL, MEDLINE, EMBASE, RISS4u, KISTI, OASIS and KTKP, were searched for relevant articles published from their launch to December 31, 2015 using the key word 'gold' with '$thread^*$', '$needle^*$', '$acupuncture^*$', '$wire^*$', '$bead^*$', '$embed^*$', '$implant^*$', or '$insert^*$'. The results were classified into in vivo studies, clinical trials and clinical reports. Analysis of the results was conducted in several research areas, from the identity of studies such as nationality and published year, to the gold preparations-features and implanted locations and to the outcomes that reflect the clinically favorable or adverse effect of gold implantation therapy. Results : A total of 30 studies including 11 in vivo studies, 4 clinical trials and 15 case reports, were found in the search. We observed certain research trends according to the research time, nationality and target indication of the studies. The studies primarily revealed a chronic local inflammatory response which could be a useful mechanism for pain-relief in musculoskeletal diseases and facial rejuvenation. Researches concerning long-term reactions or adverse effects were rare. Conclusion : The results show that the efforts to discover the level of clinical efficacy of gold implantation therapy were steady and worldwide. However, further researches on the longterm effect, and more importantly, the safety of gold implantation therapy are required.

A Study on Ambiguous Expression for Efficacy of Medicinal Material - Focusing on 'Salchung[殺蟲]' - (의미가 다양한 본초 효능 표현에 대한 고찰 - 본초의 殺蟲 효능을 중심으로 -)

  • Kim, Sanghyun;Kim, Sangkyun;Nam, Boryeong;Lee, Myeong-gu;Lee, Seungho;Jang, Hyunchul
    • The Korea Journal of Herbology
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    • v.30 no.4
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    • pp.45-49
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    • 2015
  • Objectives : Through this study, it would be confirmed that specific expression for efficacy of medicinal material has multiple meanings. And through the methodology to determine the multi meaning, it could be contributed to lighten ambiguous expressions for efficacy of medicinal material.Methods : The premise is that the efficacy and treatment target data are related to each other. Word cloud has been used analyzing the efficacy and treatment target data for medicinal materials. Then classic and modern documents were analyzed by the search.Results : Even though searching all related references as well as comparing the efficacy and treatment target data were done, some medicinal materials having 'Salchung[殺蟲]' as an efficacy are not expected to treat the disease associated with the parasite. Through the analysis of classic and modern documents, it was found that 'Salchung[殺蟲]' is not used only as a means of anthelmintic efficacy. But through the above analysis method some medicinal materials having 'Guchung[驅蟲]' as an efficacy are expected to treat the disease associated with the parasite, and 'Guchung[驅蟲]' seems to be almost used as a means of anthelmintic efficacy.Conclusions : If a certain expression for efficacy of medicinal material is used as a single meaning obviously, ambiguous expressions need to be clear. And if a certain expression for efficacy of medicinal material seems to have multiple meanings, the additional informations are to be supplemented for exact wording.

Automatic Selection of Similar Sentences for Teaching Writing in Elementary School (초등 글쓰기 교육을 위한 유사 문장 자동 선별)

  • Park, Youngki
    • Journal of The Korean Association of Information Education
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    • v.20 no.4
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    • pp.333-340
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    • 2016
  • When elementary students write their own sentences, it is often educationally beneficial to compare them with other people's similar sentences. However, it is impractical for use in most classrooms, because it is burdensome for teachers to look up all of the sentences written by students. To cope with this problem, we propose a novel approach for automatic selection of similar sentences based on a three-step process: 1) extracting the subword units from the word-level sentences, 2) training the model with the encoder-decoder architecture, and 3) using the approximate k-nearest neighbor search algorithm to find the similar sentences. Experimental results show that the proposed approach achieves the accuracy of 75% for our test data.

A Study on Trend of Overseas Expansion Strategy Research (기업의 해외 진출 전략 연구 동향)

  • Seo, Dong-Pil;Kim, Beom-Seok
    • Journal of the Korea Convergence Society
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    • v.11 no.1
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    • pp.279-284
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    • 2020
  • Advances in technology are bringing a lot of change.. Due to Korea's economic growth, domestic companies are expanding overseas unlike in the past.. Recently, many small and medium-sized companies, in addition to large companies, are making inroads in Southeast Asian markets thanks to the Korean Wave. This study used the international academic database scopus to identify trends in the company's overseas expansion strategy. A search was conducted under the title of the word overseas advancement strategy, which secured a total of 153 papers. Abstracts of the research paper were refined for analysis and then analyzed using KoNLP package. As a result, 10 important keywords were derived. The purpose of this study is to identify the research trends of companies in overseas market through these results. This study provides a guideline for future research on overseas expansion strategies.