Ontology-based integration of business intelligence

Cao, L; Zhang, C; Liu, J

Ontology-based integration of business intelligence

Cao, L

Zhang, C

Liu, J

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Publication Type:: Journal Article
Citation:: Web Intelligence and Agent Systems, 2006, 4 (3), pp. 313 - 325
Issue Date:: 2006-12-13

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Field	Value	Language
dc.contributor.author	Cao, L https://orcid.org/0000-0003-1562-9429	en_US
dc.contributor.author	Zhang, C https://orcid.org/0000-0001-5715-7154	en_US
dc.contributor.author	Liu, J	en_US
dc.date.issued	2006-12-13	en_US
dc.identifier.citation	Web Intelligence and Agent Systems, 2006, 4 (3), pp. 313 - 325	en_US
dc.identifier.issn	1570-1263	en_US
dc.identifier.uri	http://hdl.handle.net/10453/3979
dc.description.abstract	The integration of Business Intelligence (BI) has been taken bybusiness decision-makers as an effective means to enhance enterprise "soft power" and added value in the reconstruction and revolution oftraditional industries. The existing solutions based on structuralintegration are to pack together data warehouse (DW), OLAP, data mining(DM) and reporting systems from different vendors. BI system users arefinally delivered a reporting system in which reports, data models,dimensions and measures are predefined by system designers. As aresult of a survey in the US, 85% of DW projects based on the above solutions failed to meet their intended objectives. In this paper, wesummarize our investigation on the integration of BI on the basis ofsemantic integration and structural interaction. Ontology-basedintegration of BI is discussed for semantic interoperability inintegrating DW, OLAP and DM. A hybrid ontological structure isintroduced which includes conceptual view, analytical view and physicalview. These views are matched with user interfaces, DW and enterpriseinformation systems, respectively. Relevant ontological engineeringtechniques are developed for ontology namespace, semantic relationships,and ontological transformation, mapping and query in this ontologicalspace. The approach is promising for business-oriented, adaptive andautomatic integration of BI in the real world. Operational decisionmaking experiments within a telecom company have demonstrated that a BI system utilizing the proposed approach is more flexible. © 2006 - IOS Press and the authors. All rights reserved.	en_US
dc.relation.ispartof	Web Intelligence and Agent Systems	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Ontology-based integration of business intelligence	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	4	en_US
utslib.for	080110 Simulation and Modelling	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	0899 Other Information and Computing Sciences	en_US
utslib.for	1702 Cognitive Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (International)
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
pubs.organisational-group	/University of Technology Sydney/Strength - ACRI - Australia China Relations Institute
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	4	en_US

Abstract:

The integration of Business Intelligence (BI) has been taken bybusiness decision-makers as an effective means to enhance enterprise "soft power" and added value in the reconstruction and revolution oftraditional industries. The existing solutions based on structuralintegration are to pack together data warehouse (DW), OLAP, data mining(DM) and reporting systems from different vendors. BI system users arefinally delivered a reporting system in which reports, data models,dimensions and measures are predefined by system designers. As aresult of a survey in the US, 85% of DW projects based on the above solutions failed to meet their intended objectives. In this paper, wesummarize our investigation on the integration of BI on the basis ofsemantic integration and structural interaction. Ontology-basedintegration of BI is discussed for semantic interoperability inintegrating DW, OLAP and DM. A hybrid ontological structure isintroduced which includes conceptual view, analytical view and physicalview. These views are matched with user interfaces, DW and enterpriseinformation systems, respectively. Relevant ontological engineeringtechniques are developed for ontology namespace, semantic relationships,and ontological transformation, mapping and query in this ontologicalspace. The approach is promising for business-oriented, adaptive andautomatic integration of BI in the real world. Operational decisionmaking experiments within a telecom company have demonstrated that a BI system utilizing the proposed approach is more flexible. © 2006 - IOS Press and the authors. All rights reserved.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/3979