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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보기술학회 JOURNAL OF ADVANCED INFORMATION TECHNOLOGY AND CONVERGENCE JOURNAL OF ADVANCED INFORMATION TECHNOLOGY AND CONVERGENCE, VOL. 1, NO. 1
- 발행연도
- 2011.7
- 수록면
- 31 - 36 (6page)
- DOI
- 10.14801/JAITC.2011.1.1.31
이용수
초록· 키워드
오류제보하기
In this paper, we propose a new indexing method to process path queries for XML documents. The proposed indexing method processes efficiently simple path queries as well as unknown length path queries. The proposed indexing method builds summarized tree and extracts features from the summarized tree. With the extracted features, we build R-tree to speed up search process. Our indexing method is able to be adapted well to frequently updated XML documents. The superiority of the proposed indexing method is shown through experiments.
목차
Abstract
1. INTRODUCTION
2. RELATED WORK
3. PROPOSED INDEXING METHOD
4. EXPERIMENTAL RESULTS
5. CONCLUSION
REFERENCES
참고문헌 (4)
참고문헌 신청
R. Goldman / 1997 / DataGuides : Enabling Query Formulation and Optimization in Semistructured Databases / Proc. VLDB :436~445
P. J. Harding / 2003 / XISS/R : XML Indexing and Storage System using RDBMS / Proc. VLDB :1073~1076
H. Wang / 2003 / ViST : A Dynamic Index Method for Querying XML Data by Tree Structures / Proc. SIGMOD :110~121
A. Guttman / 1984 / R-Trees : A Dynamic Index Structure for Spatial Searching / Proc. SIGMOD :47~57
P. J. Harding / 2003 / XISS/R : XML Indexing and Storage System using RDBMS / Proc. VLDB :1073~1076
H. Wang / 2003 / ViST : A Dynamic Index Method for Querying XML Data by Tree Structures / Proc. SIGMOD :110~121
A. Guttman / 1984 / R-Trees : A Dynamic Index Structure for Spatial Searching / Proc. SIGMOD :47~57
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UCI(KEPA) : I410-ECN-0101-2013-566-003522854