| Authors: |
Guotong Xie
and Yang Yang
and Shengping Liu
and Zhaoming Qiu
and Yue Pan
and Xiongzhi Zhou
|
| Editors: |
Karl Aberer
and Key-Sun Choi
and Natasha Noy
and Dean Allemang
and Kyung-Il Lee
and Lyndon J B Nixon
and Jennifer Golbeck
and Peter Mika
and Diana Maynard
and Guus Schreiber
and Philippe Cudré-Mauroux
|
| URL: |
http://iswc2007.semanticweb.org/papers/851.pdf |
| Tags: |
2007
application_software
datum
finance
in_use_1
iswc
ontology_(computer_science)
semantic
semantic_web
technology
tool
using
warehouse
web
|
| Abstract: |
Data warehouse is now widely used in business analysis and decision making processes. To adapt the rapidly changing business environment, we develop a tool to make data warehouses more business-friendly by using Semantic Web technologies. The main idea is to make business semantics explicit by uniformly representing the business metadata (i.e. conceptual enterprise data model and multidimensional model) with an extended OWL language. Then a mapping from the business metadata to the schema of the data warehouse is built. When an analysis request is raised, a customized data mart with data populated from the data warehouse can be automatically generated with the help of this built-in knowledge. This tool, called Enterprise Information Asset Workbench (EIAW), is deployed at the Taikang Life Insurance Company, one of the top five insurance companies of China. User feedback shows that OWL provides an excellent basis for the representation of business semantics in data warehouse, but many necessary extensions are also needed in the real application. The user also deemed this tool very helpful because of its flexibility and speeding up data mart deployment in face of business changes. |
@inproceedings{Xie/2007/EIAW:,
title = {EIAW: Towards a Business-friendly Data Warehouse Using Semantic Web Technologies},
address = {Berlin, Heidelberg},
author = {Guotong Xie and Yang Yang and Shengping Liu and Zhaoming Qiu and Yue Pan and Xiongzhi Zhou},
booktitle = {Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea},
crossref = {http://data.semanticweb.org/conference/iswc-aswc/2007/proceedings},
editor = {Karl Aberer and Key-Sun Choi and Natasha Noy and Dean Allemang and Kyung-Il Lee and Lyndon J B Nixon and Jennifer Golbeck and Peter Mika and Diana Maynard and Guus Schreiber and Philippe Cudré-Mauroux},
month = {November},
pages = {851--904},
publisher = {Springer Verlag},
series = {LNCS},
url = {http://iswc2007.semanticweb.org/papers/851.pdf},
volume = {4825},
year = {2007},
abstract = {Data warehouse is now widely used in business analysis and decision making processes. To adapt the rapidly changing business environment, we develop a tool to make data warehouses more business-friendly by using Semantic Web technologies. The main idea is to make business semantics explicit by uniformly representing the business metadata (i.e. conceptual enterprise data model and multidimensional model) with an extended OWL language. Then a mapping from the business metadata to the schema of the data warehouse is built. When an analysis request is raised, a customized data mart with data populated from the data warehouse can be automatically generated with the help of this built-in knowledge. This tool, called Enterprise Information Asset Workbench (EIAW), is deployed at the Taikang Life Insurance Company, one of the top five insurance companies of China. User feedback shows that OWL provides an excellent basis for the representation of business semantics in data warehouse, but many necessary extensions are also needed in the real application. The user also deemed this tool very helpful because of its flexibility and speeding up data mart deployment in face of business changes.},
keywords = {2007 application_software datum finance in_use_1 iswc ontology_(computer_science) semantic semantic_web technology tool using warehouse web }
}
::