RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재

      시맨틱 검색 시스템의 개념적 모형화와 그 구현에 대한 연구

      한글로보기

      https://www.riss.kr/link?id=A76347368

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      This paper proposes a design and realization for the semantic search system. The proposed model includes three Architecture Layers of a Semantic Search System ; (they are conceptually named as) the Knowledge Acquisition, the Knowledge Representation and the Knowledge Utilization. Each of these three Layers are designed to interactively work together, so as to maximize the users’ information needs. The Knowledge Acquisition Layer includes index and storage of Semantic Metadata from various source of web contents(eg : text, image, multimedia and so on). The Knowledge Representation Layer includes the ontology schema and instance, through the process of semantic search by ontology based query expansion. Finally, the Knowledge Utilization Layer includes the users to search query intuitively, and get its results without the users’knowledge of semantic web language or ontology. So far as the design and the realization of the semantic search site is concerned, the proposedsemantic search system will offer useful implications to the researchers and practitioners so as to improve the research level to the commercial use.
      번역하기

      This paper proposes a design and realization for the semantic search system. The proposed model includes three Architecture Layers of a Semantic Search System ; (they are conceptually named as) the Knowledge Acquisition, the Knowledge Representation a...

      This paper proposes a design and realization for the semantic search system. The proposed model includes three Architecture Layers of a Semantic Search System ; (they are conceptually named as) the Knowledge Acquisition, the Knowledge Representation and the Knowledge Utilization. Each of these three Layers are designed to interactively work together, so as to maximize the users’ information needs. The Knowledge Acquisition Layer includes index and storage of Semantic Metadata from various source of web contents(eg : text, image, multimedia and so on). The Knowledge Representation Layer includes the ontology schema and instance, through the process of semantic search by ontology based query expansion. Finally, the Knowledge Utilization Layer includes the users to search query intuitively, and get its results without the users’knowledge of semantic web language or ontology. So far as the design and the realization of the semantic search site is concerned, the proposedsemantic search system will offer useful implications to the researchers and practitioners so as to improve the research level to the commercial use.

      더보기

      참고문헌 (Reference)

      1 한동일, "검색 효과성에 영향을 미치는 시맨틱 검색 시스템 평가요인에 관한 실증적 연구" 2007 KMIS International Conference 52-57, 2007

      2 Liu, J., "The Wisdom Web : New Challenges for Web Intelligence(WI)" 20 (20): 2003

      3 Berners-Lee, T., "The Semantic Web" 2001

      4 Albertoni, R., "Semantic Web and Information Visualization" 1st Italian Semantic Web Workshop 2004

      5 Guha, R., "Semantic Search" ACM Press 2003

      6 Dill, "SemTag and SemSeeker : Bootstrapping the Semantic Web via automated semantic annotation" Proceedings of the 12th International WWW Conference 2003

      7 Spink, A., "Searching the Web : the public and their queries" 52 : 226-234, 2001

      8 Chu, H., "Research in image indexing and retrieval as refleted in the literature" 52 (52): 1011-1018, 2001

      9 Harth, A., "Optimized Index Structures for Querying RDF from the Web" Proceedings of the 3rd Latin American Web Congress 71-80, 2005

      10 Bonino, D., "Ontology Driven Semantic Search" 1 : 2004

      1 한동일, "검색 효과성에 영향을 미치는 시맨틱 검색 시스템 평가요인에 관한 실증적 연구" 2007 KMIS International Conference 52-57, 2007

      2 Liu, J., "The Wisdom Web : New Challenges for Web Intelligence(WI)" 20 (20): 2003

      3 Berners-Lee, T., "The Semantic Web" 2001

      4 Albertoni, R., "Semantic Web and Information Visualization" 1st Italian Semantic Web Workshop 2004

      5 Guha, R., "Semantic Search" ACM Press 2003

      6 Dill, "SemTag and SemSeeker : Bootstrapping the Semantic Web via automated semantic annotation" Proceedings of the 12th International WWW Conference 2003

      7 Spink, A., "Searching the Web : the public and their queries" 52 : 226-234, 2001

      8 Chu, H., "Research in image indexing and retrieval as refleted in the literature" 52 (52): 1011-1018, 2001

      9 Harth, A., "Optimized Index Structures for Querying RDF from the Web" Proceedings of the 3rd Latin American Web Congress 71-80, 2005

      10 Bonino, D., "Ontology Driven Semantic Search" 1 : 2004

      11 Makela, E., "Ontogator–A Semantic View-Based Search Engine Services for Web Applications" 5th International Semantic Web Conference 2006 2006

      12 "OntoWeb"

      13 Ponnada, M., "Model of a Semantic Web Search Engine for Multimedia Content Retrieval" In the proceeding of 6th IEEE/ACIS International Conference on Computer and Information Science 2007

      14 Gruber, T., "It Is What It Does : The Pragmatics of Ontology, invited talk at Sharing the Knowledge" International CIDOC CRM Symposium 2003

      15 Oddy, R., "Information retrieval through man- machine dialogue" 33 : 1-14, 1977

      16 Belkin, N.J., "Information filtering and information retrieval : two sides of the same coin?" 35 : 29-38, 1992

      17 Wissbrock, F., "Information Need Assessment in Information Retrieval ; Beyond Lists and Queries" University of Ulm 2004

      18 "Hakia"

      19 Athanasis, N., "Generation on the fly queries for the semantic web : The CIS-FORTH graphical RQL interface (CRQL)" Proceedings of the Third International Semantic Web Conference 486-501, 2004

      20 Sheth, A., "From Semantic Search and Integration to Analytics" 19-24, 2004

      21 Han, D., "Fox Service : An Implementation Case of Ontology-based Search Agent in Mobile Environments" The 7th International Conference on Mobile Data Management 2005

      22 Sure, Y., "First Results of a Semantic Web Technologies Evaluation" DOA ’02 Conference 2002

      23 Passin, T.B., "Explorer’s Guide to the semantic web" Manning pubulications 2-6, 2004

      24 "Collarity"

      25 "Clusty"

      26 Bangyong, L., "Association Search in Semantic Web : Search + Inference" WWW 2005 Conference 2005

      27 Belkin, N., "Anomalous states of knowledge as a basis for information retrieval" 5 : 133-143, 1980

      28 Catarci, T., "An ontology based visual tool for query formulation support" IOS Press 308-312, 2004

      29 Morville, P., "Ambient Findability : What We Find Changes Who We become" 2005

      30 Colucci S., "A semantic-based fully visual application for matchmaking and query refinement in B2C e-marketplaces" 14-16, 2006

      31 Richa, C., "A Hybrid Approach for Searching in the Semantic Web" WWW 2004 Conference 2004

      32 Mudassar Ilyas, Q., "A Conceptual Architecture for Semantic Search Engine" 24 (24): 605-610, 2004

      더보기

      동일학술지(권/호) 다른 논문

      동일학술지 더보기

      더보기

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      인용정보 인용지수 설명보기

      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-03-25 학회명변경 영문명 : 미등록 -> Korea Intelligent Information Systems Society KCI등재
      2015-03-17 학술지명변경 외국어명 : 미등록 -> Journal of Intelligence and Information Systems KCI등재
      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-02-11 학술지명변경 한글명 : 한국지능정보시스템학회 논문지 -> 지능정보연구 KCI등재
      2007-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2004-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2003-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2001-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      더보기

      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1.51 1.51 1.99
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      1.78 1.54 2.674 0.38
      더보기

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼