대용량 XML 문서의 효율적인 질의 처리를 위한 세그먼트 기반 역 인덱스

• 영문명: Segment-Based Inverted Index for Querying Large XML Documents
• 발행기관: 한국IT서비스학회
• 저자명: 정병수(Byeong-Soo Jeong) 이혜자(Hiye-Ja Lee)
• 간행물 정보: 『한국IT서비스학회지』한국IT서비스학회지 제7권 제3호, 145~157쪽, 전체 13쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2008.09.01

영문 초록

  The existing XML storage methods which use relational data model, usually store path information for every node type including literal contents in order to keep the structural information of XML documents. Such path information is usually maintained by an inverted index to efficiently process XPath queries for large XML documents. In this study, We propose an improved approach that retrieve information from the large volume of XML documents stored in a relational database, while using a segment-based inverted index for path searches. Our new approach can reduce the number of searching an inverted index for getting target path information. We show the effectiveness of this approach through several experiments that compare XPath query performance with the existing methods.

목차

Abstract
1. 서론
2. 관련 연구
3. 세그먼트 기반 경로 탐색
4. XML 문서에 대한 질의 처리
5. 실험 및 분석
6. 결론
참고문헌
저자소개

키워드

Large XML Documents Path Search Segment-based Inverted Index