• Title/Summary/Keyword: Semantic Technique

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A Keyword Search Model based on the Collected Information of Web Users (웹 사용자 누적 사용정보 기반의 키워드 검색 모델)

  • Yoon, Sung-Hee
    • The Journal of the Korea institute of electronic communication sciences
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    • v.7 no.4
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    • pp.777-782
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    • 2012
  • This paper proposes a technique for improving performance using word senses and user feedback in web information retrieval, compared with the retrieval based on ambiguous user query and index. Disambiguation using query word senses can eliminating the irrelevant pages from the search result. According to semantic categories of nouns which are used as index for retrieval, we build the word sense knowledge-base and categorize the web pages. It can improve the precision of retrieval system with user feedback deciding the query sense and information seeking behavior to pages.

Comparison of word association between adults and children (대학생과 초등학생의 단어 연상 비교)

  • Park, Mi-Cha
    • Korean Journal of Cognitive Science
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    • v.19 no.1
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    • pp.17-39
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    • 2008
  • The present study was conducted to provide Korean word association lists for adults and children which are needed in research area of false memory. Associated words, asso[iation strength, and the proportion of cue set size to the total number of associated words produced through the discrete association technique were compared between the two groups. The data showed that associated words with high strength wert same or similar but associated words with lower strength were various in the two groups. The result that adults produced larger proportion of cue set size than children suggests that adults have more typical and more convergent semantic network than children. The present data will be served as a database useful for the studies to investigate cognitive functions in memory and other related area.

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Using Query Word Senses and User Feedback to Improve Precision of Search Engine (검색엔진의 정확률 향상을 위한 질의어 의미와 사용자 반응 정보의 이용)

  • Yoon, Sung-Hee
    • Journal of the Korean Society for information Management
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    • v.26 no.4
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    • pp.81-92
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    • 2009
  • This paper proposes a technique for improving performance using word senses and user feedback in web information retrieval, compared with the retrieval based on ambiguous user query and index. Disambiguation using query word senses can eliminating the irrelevant pages from the search result. According to semantic categories of nouns which are used as index for retrieval, we build the word sense knowledge-base and categorize the web pages. It can improve the precision of retrieval system with user feedback deciding the query sense and information seeking behavior to pages.

Improving Performance of Web Search Engine using Query Word Senses and User Feedback (질의어 의미정보와 사용자 피드백을 이용한 웹 검색엔진의 성능향상)

  • Yoon, Sung-Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.8 no.2
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    • pp.280-285
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    • 2007
  • This paper proposes a technique improving performance using word senses and user feedback in web information retrieval, compared with the retrieval based on ambiguous user query and index. Disambiguation using word senses is very important processing for improving performance by eliminating the irrelevant pages from the result. According to semantic categories of nouns which are used as index for retrieval, we build the word sense knowledge-base and categorize the web pages. It can improve the performance of retrieval system with user feedback deciding the query sense and information seeking behavior to web pages.

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Automatic Tagging and Tag Recommendation Techniques Using Tag Ontology (태그 온톨로지를 이용한 자동 태깅 및 태그 추천 기법)

  • Kim, Jae-Seung;Mun, Hyeon-Jeong;Woo, Tae-Yong
    • The Journal of Society for e-Business Studies
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    • v.14 no.4
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    • pp.167-179
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    • 2009
  • This paper introduces techniques to recommend standardized tags using tag ontology. Tag recommendation consists of TWCIDF and TWCITC; the former technique automatically tags a large quantity of already existing document groups, and the latter recommends tagging for new documents. Tag groups are created through several processes, including preprocessing, standardization using tag ontology, automatic tagging and defining ranks for recommendation. In the preprocessing process, in order to search semantic compound nouns, words are combined to establish basic word groups. In the standardization process, typographical errors and similar words are processed. As a result of experiments conducted on the basis of techniques presented in this paper, it is proved that real-time automatic tagging and tag recommendation is possible while guaranteeing the accuracy of tag recommendation.

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Design of Database Integration System and Query System based on Global View Generation Tool (전역 스키마 생성 도구를 이용한 데이터베이스 통합 및 질의 시스템)

  • Park, U-Chang
    • Journal of Internet Computing and Services
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    • v.8 no.3
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    • pp.65-74
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    • 2007
  • Database integration is a common and growing challenge with the proliferation of database systems, data warehouses, data marts, and other OLAP systems in organizations. Although there are many methods of sharing data between databases, true interoperability of database integration system that improves in the database federation architecture by allowing domain administrators to simply and efficiently capture database semantics. The semantic information is combined using a tool for producing a global view. Building the global view is the bottleneck in integration because there are few tools that support its construction, and these tools often require sophisticated knowledge and experience to operate properly. The technique and tool presented is simple and powerful enough to be used by all database administrators, yet expressive enough to support the majority of integration queries.

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Analysis of Landscape Preference by the Installation Combination of Lightning in Tunnel based on Conjoint Analysis (컨조인트 분석에 의한 터널 내 조명시설 설치조합별 경관 선호도 분석)

  • Lee, hyeryung;Kum, kijung;Jung, hyunjung
    • International Journal of Highway Engineering
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    • v.14 no.6
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    • pp.111-120
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    • 2012
  • PURPOSES : This study is to suggest suitable lighting facility installation plans by finding out driver's preference for combination of lighting facility installation among landscape factors that affect driver visibility in tunnels. METHODS : SD method is used to extract emotional factors that affect drivers' preference, Components of tunnel lighting facility installation are evaluated through conjoint analysis and it suggested relative importance of attributes and utility values. RESULTS : In the aspects of satisfaction levels of components of tunnel lighting facility installation, Tunnel side, two lows, and solid line arrangement type has the highest level of satisfaction. Extract emotional factors that affect drivers' preference are "safety", "openness" and "amenity." In addition, the result of analyzing relative importance of attributes of tunnel lighting facility shows that numbers of lighting array has the highest importance and lighting facility arrangement has the lowest importance. Result of analyzing partial utility shows that the 2 low type among number of lows, the solid line arrangement type between arrangement types, placing in the middle part among lighting facility arrangement were highly preferred. CONCLUSIONS : In the case of lighting numbers, utility values of the first line and the second line showed us a big difference. Increasing the number arrays in the future reformation of lighting facility installation combination will be effective in enhancing the utility of the driver.

The Image and Preference Comparison between 'Opened Landscape' and 'Filtered Landscape' - Focused on With and Without Parallax Effect - ('열린경관'과 '가려진경관'의 이미지와 선호도 비교 - 패럴랙스(Parallax) 효과 유무를 중심으로 -)

  • Rho, Jae-Hyun
    • Journal of the Korean Institute of Landscape Architecture
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    • v.35 no.4
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    • pp.105-118
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    • 2007
  • The purpose of this study is not only to compare between 'Opened Landscape' and 'Filtered Landscape' image and preference but also to suggests a guide line of planting design for progressive realization. For this, the image structures of photo-sketch simulation for parallax landscape have been investigated by Semantic Differential scale(S.D. scale) and the Factor analysis. The results could be summarized as follows. The results of S.D. scale values for landscape through parallax were greater than non-parallax landscape. The scenes through parallax were better preferred to direct view. Thus the results of photo-sketch simulation test support the expected hypothesis that the visual environment of complexity and variety is closely correlated with the parallax effect and monotonous or non-parallax environment, and parallax effect on close view more bigger than the distant view. Factors covering the spatial image of parallax landscape were found to be seven and Total values were 60.35 %. The most important factors determining the parallax effect were Factors I 'depth of space' and VI 'expectation of space and interest'. An outstanding view must be handled properly to be preserved or accentuated. In this sense, the parallax spatial beauty with tree could be improved through the visual aspects of plan arrangements and the progressive realization appeared to be one effective design technique for landscape planning and design.

Design of Dialogue Management System for Home Network Control (홈네트워크 제어를 위한 대화관리시스템 설계)

  • Kim, Hyun-Jeong;Eun, Ji-Hyun;Chang, Du-Seong;Choi, Joon-Ki;Koo, Myung-Wan
    • Proceedings of the KSPS conference
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    • 2006.11a
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    • pp.109-112
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    • 2006
  • This paper presents a dialogue interface using the dialogue management system as a method for controlling home appliances in Home Network Services. In order to realize this type of dialogue interface, we first investigated the user requirements for Home Network Services by analyzing the dialogues entered by users. Based on the analysis, we were able to extract 15 user intentions and 22 semantic components. In our study, example dialogues were collected from WOZ (Wizard-of-OZ) environment to implement a reasoning model for generating meaningful responses for example-based dialogue modeling technique. An overview of the Home Network Control System using proposed dialogue interface will be presented. Lastly, we will show that the Dialogue Management System trained with our collected dialogues behaves properly to achieve its task of controlling Home Network appliances by going through the steps of natural language understanding, response reasoning, response generation.

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Discovering Meaningful Trends in the Inaugural Addresses of North Korean Leader Via Text Mining (텍스트마이닝을 활용한 북한 지도자의 신년사 및 연설문 트렌드 연구)

  • Park, Chul-Soo
    • Journal of Information Technology Applications and Management
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    • v.26 no.3
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    • pp.43-59
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    • 2019
  • The goal of this paper is to investigate changes in North Korea's domestic and foreign policies through automated text analysis over North Korean new year addresses, one of most important and authoritative document publicly announced by North Korean government. Based on that data, we then analyze the status of text mining research, using a text mining technique to find the topics, methods, and trends of text mining research. We also investigate the characteristics and method of analysis of the text mining techniques, confirmed by analysis of the data. We propose a procedure to find meaningful tendencies based on a combination of text mining, cluster analysis, and co-occurrence networks. To demonstrate applicability and effectiveness of the proposed procedure, we analyzed the inaugural addresses of Kim Jung Un of the North Korea from 2017 to 2019. The main results of this study show that trends in the North Korean national policy agenda can be discovered based on clustering and visualization algorithms. We found that uncovered semantic structures of North Korean new year addresses closely follow major changes in North Korean government's positions toward their own people as well as outside audience such as USA and South Korea.