In Today’s World, the usage of Web is increased in a very fast manner. The User who is surfing the Web always wants to extract the meaningful information from the resources. As the number of user increased, the Web is diffusing day-by-day. To overcome this, Semantic Web Technologies such as Resource Description Framework along with Document Object Model are used to bring the clear answers to user queries by taking advantage of the availability of precise semantics of information in the context of the search engines. The DOM is a language- and platform-independent API designed for working with HTML/XML data. In this paper, the relevant search is processed by using the DOM Segment fusing function with probability ranking algorithm.
목차
Abstract 1. Introduction 2. Literature Study 2.1. Linked Data Principles 2.2. Resource Description Framework 2.3. Document Object Model 3. Traditional Webs 4. Proposed Work 4.1. RDF Conversion 4.2. Refers the Other Search Engine 4.3. Result Related to User Query 4.4. RDF Processing 4.5. DOM Processing 4.6. Normalizes the Result using DOM Segment Fusing Algorithm 5. Experimental Analysis 6. Conclusion and Future Work References
키워드
User QuerySemantic WebResource Description FrameworkDocument Object ModelApplication InterfaceProbability Ranking Algorithm
저자
Ms. K.Sangeetha [ Assistant Professor, CSE, Dhirajlal Gandhi College of Technology, Affiliated to Anna University ]
보안공학연구지원센터(IJSEIA) [Science & Engineering Research Support Center, Republic of Korea(IJSEIA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Software Engineering and Its Applications
간기
월간
pISSN
1738-9984
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Software Engineering and Its Applications Vol.10 No.2