DocumentCode
2407982
Title
Enhancive index for structured document retrieval
Author
Wang, Xiao-Ling ; Ji-Rong Wen ; Wen-Yin, Liu ; Dong, Yi-Sheng
Author_Institution
Dept. of Comput. Sci., Southeast Univ., Nanjing, China
fYear
2002
fDate
2002
Firstpage
34
Lastpage
38
Abstract
Structured documents, especially XML documents, are made up of a few logical components, such as title, sections, subsections and paragraphs. The components in each structured document can be represented by an ordered tree model, which can also be viewed as a hierarchical concept relationship. To meet the user´s requirements for more precise and concentrated search results, the retrieval techniques should allow the user to retrieve document components with varying granularity. To enable this, suitable querying strategies, especially some special indexing techniques must be developed. This paper puts forward an enhancive indexing technique for approximate search by taking advantage of the natural hierarchical structure in text documents. Experiments show that improved performance can be obtained by using such a kind of enhancive indexing technique
Keywords
hypermedia markup languages; indexing; information retrieval; XML documents; approximate search; enhancive indexing technique; experiments; hierarchical concept relationship; information retrieval; ordered tree model; performance; querying strategies; search results; structured document retrieval; Asia; Computer science; Content based retrieval; Data engineering; Data models; Database languages; Indexing; Information retrieval; Multimedia databases; XML;
fLanguage
English
Publisher
ieee
Conference_Titel
Research Issues in Data Engineering: Engineering E-Commerce/E-Business Systems, 2002. RIDE-2EC 2002. Proceedings. Twelfth International Workshop on
Conference_Location
San Jose, CA
ISSN
1066-1395
Print_ISBN
0-7695-1480-4
Type
conf
DOI
10.1109/RIDE.2002.995096
Filename
995096
Link To Document