IEICE TRANSACTIONS on Information
Full-Text and Structural Indexing of XML Documents on B+-Tree
Summary :
XML query processing is one of the most active areas of database research. Although the main focus of past research has been the processing of structural XML queries, there are growing demands for a full-text search for XML documents. In this paper, we propose XICS (XML Indices for Content and Structural search), which aims at high-speed processing of both full-text and structural queries in XML documents. An important design principle of our indices is the use of a B+-tree. To represent the structural information of XML trees, each node in the XML tree is labeled with an identifier. The identifier contains an integer number representing the path information from the root node. XICS consist of two types of indices, the COB-tree (COntent B+-tree) and the STB-tree (STructure B+-tree). The search keys of the COB-tree are a pair of text fragments in the XML document and the identifiers of the leaf nodes that contain the text, whereas the search keys of the STB-tree are the node identifiers. By using a node identifier in the search keys, we can retrieve only the entries that match the path information in the query. The STB-tree can filter nodes using structural conditions in queries, while the COB-tree can filter nodes using text conditions. We have implemented a COB-tree and an STB-tree using GiST and examined index size and query processing time. Our experimental results show the efficiency of XICS in query processing.
- Publication
- IEICE TRANSACTIONS on Information Vol.E89-D No.1 pp.237-247
- Publication Date
- 2006/01/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1093/ietisy/e89-d.1.237
- Type of Manuscript
- PAPER
- Category
- Contents Technology and Web Information Systems
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Keyword
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Toshiyuki SHIMIZU, Masatoshi YOSHIKAWA, "Full-Text and Structural Indexing of XML Documents on B+-Tree" in IEICE TRANSACTIONS on Information,
vol. E89-D, no. 1, pp. 237-247, January 2006, doi: 10.1093/ietisy/e89-d.1.237.
Abstract: XML query processing is one of the most active areas of database research. Although the main focus of past research has been the processing of structural XML queries, there are growing demands for a full-text search for XML documents. In this paper, we propose XICS (XML Indices for Content and Structural search), which aims at high-speed processing of both full-text and structural queries in XML documents. An important design principle of our indices is the use of a B+-tree. To represent the structural information of XML trees, each node in the XML tree is labeled with an identifier. The identifier contains an integer number representing the path information from the root node. XICS consist of two types of indices, the COB-tree (COntent B+-tree) and the STB-tree (STructure B+-tree). The search keys of the COB-tree are a pair of text fragments in the XML document and the identifiers of the leaf nodes that contain the text, whereas the search keys of the STB-tree are the node identifiers. By using a node identifier in the search keys, we can retrieve only the entries that match the path information in the query. The STB-tree can filter nodes using structural conditions in queries, while the COB-tree can filter nodes using text conditions. We have implemented a COB-tree and an STB-tree using GiST and examined index size and query processing time. Our experimental results show the efficiency of XICS in query processing.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e89-d.1.237/_p
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@ARTICLE{e89-d_1_237,
author={Toshiyuki SHIMIZU, Masatoshi YOSHIKAWA, },
journal={IEICE TRANSACTIONS on Information},
title={Full-Text and Structural Indexing of XML Documents on B+-Tree},
year={2006},
volume={E89-D},
number={1},
pages={237-247},
abstract={XML query processing is one of the most active areas of database research. Although the main focus of past research has been the processing of structural XML queries, there are growing demands for a full-text search for XML documents. In this paper, we propose XICS (XML Indices for Content and Structural search), which aims at high-speed processing of both full-text and structural queries in XML documents. An important design principle of our indices is the use of a B+-tree. To represent the structural information of XML trees, each node in the XML tree is labeled with an identifier. The identifier contains an integer number representing the path information from the root node. XICS consist of two types of indices, the COB-tree (COntent B+-tree) and the STB-tree (STructure B+-tree). The search keys of the COB-tree are a pair of text fragments in the XML document and the identifiers of the leaf nodes that contain the text, whereas the search keys of the STB-tree are the node identifiers. By using a node identifier in the search keys, we can retrieve only the entries that match the path information in the query. The STB-tree can filter nodes using structural conditions in queries, while the COB-tree can filter nodes using text conditions. We have implemented a COB-tree and an STB-tree using GiST and examined index size and query processing time. Our experimental results show the efficiency of XICS in query processing.},
keywords={},
doi={10.1093/ietisy/e89-d.1.237},
ISSN={1745-1361},
month={January},}
Copy
TY - JOUR
TI - Full-Text and Structural Indexing of XML Documents on B+-Tree
T2 - IEICE TRANSACTIONS on Information
SP - 237
EP - 247
AU - Toshiyuki SHIMIZU
AU - Masatoshi YOSHIKAWA
PY - 2006
DO - 10.1093/ietisy/e89-d.1.237
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E89-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2006
AB - XML query processing is one of the most active areas of database research. Although the main focus of past research has been the processing of structural XML queries, there are growing demands for a full-text search for XML documents. In this paper, we propose XICS (XML Indices for Content and Structural search), which aims at high-speed processing of both full-text and structural queries in XML documents. An important design principle of our indices is the use of a B+-tree. To represent the structural information of XML trees, each node in the XML tree is labeled with an identifier. The identifier contains an integer number representing the path information from the root node. XICS consist of two types of indices, the COB-tree (COntent B+-tree) and the STB-tree (STructure B+-tree). The search keys of the COB-tree are a pair of text fragments in the XML document and the identifiers of the leaf nodes that contain the text, whereas the search keys of the STB-tree are the node identifiers. By using a node identifier in the search keys, we can retrieve only the entries that match the path information in the query. The STB-tree can filter nodes using structural conditions in queries, while the COB-tree can filter nodes using text conditions. We have implemented a COB-tree and an STB-tree using GiST and examined index size and query processing time. Our experimental results show the efficiency of XICS in query processing.
ER -
English
