@inproceedings{22221a6da3114f7fb77f962b55c47e2d,
title = "Enhancive index for structured document retrieval",
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 = "Asia, Computer science, Content based retrieval, Data engineering, Data models, Database languages, Indexing, Information retrieval, Multimedia databases, XML",
author = "Wang, \{Xiao Ling\} and Wen, \{Ji Rong\} and Liu, \{Wen Yin\} and Dong, \{Yi Sheng\}",
note = "Publisher Copyright: {\textcopyright} 2002 IEEE.; 12th International Workshop on Research Issues in Data Engineering: Engineering E-Commerce/E-Business Systems, RIDE-2EC 2002 ; Conference date: 24-02-2002 Through 25-02-2002",
year = "2002",
doi = "10.1109/RIDE.2002.995096",
language = "英语",
series = "Proceedings of the IEEE International Workshop on Research Issues in Data Engineering",
publisher = "IEEE Computer Society",
pages = "34--38",
editor = "Ee-Peng Lim and Yanchun Zhang and Amjad Umar and Ming-Chien Shan",
booktitle = "Proceedings - 12th International Workshop on Research Issues in Data Engineering",
address = "美国",
}