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 :
بازگشت