X-warehouse: Building query pattern-driven data

Ji Zhang; Wei Wang; Han Liu; Sheng Zhang

doi:10.1145/1062745.1062786

X-warehouse: Building query pattern-driven data

Ji Zhang, Wei Wang, Han Liu, Sheng Zhang

Operations Research & Financial Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Scopus citations

Abstract

In this paper, we propose an approach to materialize XML data warehouses based on the frequent query patterns discovered from historical queries issued by users. The schemas of integrated XML documents in the warehouse are built using these frequent query patterns represented as Frequent Query Pattern Trees (FreqQPTs). Using hierarchical clustering technique, FreqQPTs are clustered and merged to produce a specified number of integrated XML documents for actual data feeding. Maintenance issue of the data warehouse is also treated in this paper.

Original language	English (US)
Title of host publication	14th International World Wide Web Conference, WWW2005
Pages	896-897
Number of pages	2
DOIs	https://doi.org/10.1145/1062745.1062786
State	Published - 2005
Event	14th International World Wide Web Conference, WWW2005 - Chiba, Japan Duration: May 10 2005 → May 14 2005

Publication series

Name	14th International World Wide Web Conference, WWW2005

Other

Other	14th International World Wide Web Conference, WWW2005
Country/Territory	Japan
City	Chiba
Period	5/10/05 → 5/14/05

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Software

Keywords

Data integration
Data warehouse
Query patterns
XML data

Access to Document

10.1145/1062745.1062786

Cite this

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title = "X-warehouse: Building query pattern-driven data",

abstract = "In this paper, we propose an approach to materialize XML data warehouses based on the frequent query patterns discovered from historical queries issued by users. The schemas of integrated XML documents in the warehouse are built using these frequent query patterns represented as Frequent Query Pattern Trees (FreqQPTs). Using hierarchical clustering technique, FreqQPTs are clustered and merged to produce a specified number of integrated XML documents for actual data feeding. Maintenance issue of the data warehouse is also treated in this paper.",

keywords = "Data integration, Data warehouse, Query patterns, XML data",

author = "Ji Zhang and Wei Wang and Han Liu and Sheng Zhang",

year = "2005",

doi = "10.1145/1062745.1062786",

language = "English (US)",

isbn = "1595930515",

series = "14th International World Wide Web Conference, WWW2005",

pages = "896--897",

booktitle = "14th International World Wide Web Conference, WWW2005",

note = "14th International World Wide Web Conference, WWW2005 ; Conference date: 10-05-2005 Through 14-05-2005",

}

TY - GEN

T1 - X-warehouse

T2 - 14th International World Wide Web Conference, WWW2005

AU - Zhang, Ji

AU - Wang, Wei

AU - Liu, Han

AU - Zhang, Sheng

PY - 2005

Y1 - 2005

N2 - In this paper, we propose an approach to materialize XML data warehouses based on the frequent query patterns discovered from historical queries issued by users. The schemas of integrated XML documents in the warehouse are built using these frequent query patterns represented as Frequent Query Pattern Trees (FreqQPTs). Using hierarchical clustering technique, FreqQPTs are clustered and merged to produce a specified number of integrated XML documents for actual data feeding. Maintenance issue of the data warehouse is also treated in this paper.

AB - In this paper, we propose an approach to materialize XML data warehouses based on the frequent query patterns discovered from historical queries issued by users. The schemas of integrated XML documents in the warehouse are built using these frequent query patterns represented as Frequent Query Pattern Trees (FreqQPTs). Using hierarchical clustering technique, FreqQPTs are clustered and merged to produce a specified number of integrated XML documents for actual data feeding. Maintenance issue of the data warehouse is also treated in this paper.

KW - Data integration

KW - Data warehouse

KW - Query patterns

KW - XML data

UR - http://www.scopus.com/inward/record.url?scp=49749107711&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=49749107711&partnerID=8YFLogxK

U2 - 10.1145/1062745.1062786

DO - 10.1145/1062745.1062786

M3 - Conference contribution

AN - SCOPUS:49749107711

SN - 1595930515

SN - 9781595930514

T3 - 14th International World Wide Web Conference, WWW2005

SP - 896

EP - 897

BT - 14th International World Wide Web Conference, WWW2005

Y2 - 10 May 2005 through 14 May 2005

ER -

X-warehouse: Building query pattern-driven data

Abstract

Publication series

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All Science Journal Classification (ASJC) codes

Keywords

Access to Document

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