DocumentCode
2987178
Title
Building Multi-Level Data Warehouse Based on Hybrid-Ontology
Author
Wang, Huamin ; Ye, Zhiwei
Author_Institution
Int. Sch., Software Wuhan Univ., Wuhan, China
fYear
2009
fDate
18-20 Jan. 2009
Firstpage
1
Lastpage
4
Abstract
This paper analyzed the possible existing problems of China´s statistical data first, and then presented a multi-level data warehouse model based on hybrid ontology approach, and ETL services framework, establishment methods of global ontology and local ontology, ontology mapping mechanism and query processing are analyzed.
Keywords
data warehouses; ontologies (artificial intelligence); query processing; statistical analysis; China statistical data; ETL services framework; global ontology; hybrid-ontology approach; local ontology; multilevel data warehouse model; ontology mapping mechanism; query processing; Computer science; Data warehouses; Decision making; Libraries; Ontologies; Paper technology; Query processing; Statistical analysis; Statistics; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Network and Multimedia Technology, 2009. CNMT 2009. International Symposium on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5272-9
Type
conf
DOI
10.1109/CNMT.2009.5374578
Filename
5374578
Link To Document