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RDF 기반 정보검색 및 추천 시스템

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Author(s)
정관호
Issued Date
2004
Abstract
In the latest information, World Wide Web consortium announced final approval of two key Semantic Web technologies, the revised Resource Description Framework(RDF) and the Web Ontology Language(OWL). These are Semantic Web standards that provide a framework for asset management, enterprise integration and the sharing and reuse of data on the Semantic Web can be reused between application and software by an advantage that the Semantic Web site using RDF and OWL. The most of researchers are researching on retrieval of information in RDF and OWL documents.
Information retrieval based on key work matching receives unexpected result to user. It is hard thing to get result user really wants by using the information retrieval system. in order to solve it there are brilliant movements for studying about new information retrieval system. Many researchers realized if human and machines can understand the information which user really wants to fine, information retrieval system can receives correct results to user. This motive makes Semantic Web. Researchers say the Sematic Web will be come truth within 10 years.
With step of world's flowing, it so requests researching method and information retrieval system for searching RDF and OWL documents. So this paper suggests methods how to extract information form RDF document and compose modules for retrieval information system using RDF document.
Alternative Title
Information Retrieval and Recommendation System Using RDF
Alternative Author(s)
Jung, Kwan-Ho
Affiliation
조선대학교 대학원
Department
일반대학원 전자계산학과
Advisor
김판구
Awarded Date
2005-02
Table Of Contents
목차
목차 = ⅰ
표목차 = ⅲ
그림목차 = ⅳ
ABSTRACT = ⅴ
Ⅰ. 서론 = 1
A. 연구의 필요성 = 1
B. 연구목표 = 2
C. 논문구성 = 2
Ⅱ. 웹 서비스 및 Semantic Web = 3
A. 웹 서비스 = 3
B. 시맨틱 웹 = 6
1. RDF/XML = 7
a. RDF의 응용 분야 = 8
b. RDF 데이터 모텔 = 10
c. RDF Graph 표현 = 12
d. RDF Schema = 12
e. 시맨틱 웹 기반 정보검색 시스템 = 14
Ⅲ. RDF 기반 정보검색 및 추천 시스템 모듈 = 15
A. 정보저장소 = 16
1. 기업정보 표현 = 17
2. 정보저장소 검색 = 19
B. 문서수집 엔진 = 22
C. 정보통합 엔진 = 24
D. 정보검색 엔진 = 27
1. 키워드 기반 필터링 = 27
2. 개인정보 매칭 = 29
3. 상세검색 = 31
Ⅳ. 정보검색 및 추천 시스템 설계 구현 = 33
A. 시스템 설계 = 33
1. 구현 및 테스트 환경 = 34
2. 시스템 구성 모듈 테스트 = 35
a. 정보저장소 탐색 엔진 = 35
b. 문서 수집 엔진 = 36
c. 정보통합 엔진 = 37
d. 정보검색 엔진 및 결과 출력 = 39
Ⅴ. 결론 및 향후 연구 = 41
참고문헌 = 43
Degree
Master
Publisher
조선대학교 대학원
Citation
정관호. (2004). RDF 기반 정보검색 및 추천 시스템.
Type
Dissertation
URI
https://oak.chosun.ac.kr/handle/2020.oak/5587
Appears in Collections:
General Graduate School > 3. Theses(Master)
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