A Knowledge-driven Data Warehouse Model for Analysis Evolution

被引:0
作者
Favre, Cecile [1 ]
Bentayeb, Fadila [1 ]
Boussaid, Omar [1 ]
机构
[1] Univ Lyon 2, ERIC Lab, 5 Av Pierre Mendes France, F-69676 Bron, France
来源
LEADING THE WEB IN CONCURRENT ENGINEERING: NEXT GENERATION CONCURRENT ENGINEERING | 2006年 / 143卷
关键词
Data Warehouse; Schema Evolution; Knowledge; Rule;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A data warehouse is built by collecting data from external sources. Several changes on contents and structures can usually happen on these sources. Therefore, these changes have to be reflected in the data warehouse using schema updating or versioning. However a data warehouse has also to evolve according to new users' analysis needs. In this case, the evolution is rather driven by knowledge than by data. In this paper. we propose it Rule-based Data Warehouse (R-DW) model, in which rules enable the integration of users' knowledge in the data warehouse. The R-DW model is composed of two parts: one fixed part that contains a fact table related to its first level dimensions, and it second evolving part, defined by means of rules. These rules are used to dynamically create dimension hierarchies, allowing the analysis contexts evolution, according to an automatic and concurrent way. Our proposal provides flexibility to data warehouse's evolution by increasing users' interaction with the decision support system.
引用
收藏
页码:271 / +
页数:2
相关论文
共 50 条
[31]   A Knowledge-Driven Cooperative Coevolutionary Algorithm for Integrated Distributed Production and Transportation Scheduling Problem [J].
Wang, Jingjing ;
Wang, Ling ;
Han, Honggui .
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, :7435-7448
[32]   Analyzing Firm Reports for Volatility Prediction: A Knowledge-Driven Text-Embedding Approach [J].
Yang, Yi ;
Zhang, Kunpeng ;
Fan, Yangyang .
INFORMS JOURNAL ON COMPUTING, 2022, 34 (01) :522-540
[33]   Data Warehouse Implementation: Evaluation Using Knowledge Value Added [J].
Isa, Azman Mat ;
Khasim, Mohd Fazrul Mohd ;
Anwar, Norizan ;
Nordin, Nordiana Mohd .
ADVANCED SCIENCE LETTERS, 2015, 21 (06) :1794-1797
[34]   An Advanced Generation Model for a Security Data Warehouse [J].
Piprani, Baba ;
Ernst, Denise .
ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS: OTM 2011 WORKSHOPS, 2011, 7046 :288-297
[35]   Fuzzy spatial data warehouse: A multidimensional model [J].
David, Perez ;
Somodevilla, Maria J. ;
Pineda, No H. .
ENC 2007: EIGHTH MEXICAN INTERNATIONAL CONFERENCE ON CURRENT TRENDS IN COMPUTER SCIENCE, PROCEEDINGS, 2007, :3-9
[36]   DATA WAREHOUSE MODEL ELABORATION FOR AN OIL SCAFFOLD [J].
Paunescu, Loredana-Maria .
KNOWLEDGE MANAGEMENT AND INNOVATION IN ADVANCING ECONOMIES-ANALYSES & SOLUTIONS, VOLS 1-3, 2009, :1561-1573
[37]   Adoption of Knowledge Management Systems: A Case of an Enterprise Data Warehouse [J].
Mabitsela, Tebogo ;
Pretorius, Agnieta .
PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON INTELLECTUAL CAPITAL KNOWLEDGE MANAGEMENT & ORGANISATIONAL LEARNING (ICICKM 2016), 2016, :182-191
[38]   Agile Natural Language Processing Model for Pathology Knowledge Extraction and Integration with Clinical Enterprise Data Warehouse [J].
Baghal, Ahmad ;
Al-Shukri, Shaymaa ;
Kumari, Annu .
2019 SIXTH INTERNATIONAL CONFERENCE ON SOCIAL NETWORKS ANALYSIS, MANAGEMENT AND SECURITY (SNAMS), 2019, :419-422
[39]   A proposed model for data warehouse ETL processes [J].
El-Sappagh, Shaker H. Ali ;
Hendawi, Abdeltawab M. Ahmed ;
El Bastawissy, Ali Hamed .
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2011, 23 (02) :91-104
[40]   Empirical Validation of Multidimensional Model for Data Warehouse [J].
Mann, Suman ;
Bharti ;
Singh, Perminder .
2014 3RD INTERNATIONAL CONFERENCE ON RELIABILITY, INFOCOM TECHNOLOGIES AND OPTIMIZATION (ICRITO) (TRENDS AND FUTURE DIRECTIONS), 2014,