Ontology-Based Integration Of Business Intelligence

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dc.contributor.author Cao, L
dc.contributor.author Zhang, C
dc.contributor.author Liu, J
dc.date.accessioned 2009-12-21T02:31:11Z
dc.date.issued 2006-01
dc.identifier.citation Web Intelligence and Agent Systems: An International Journal, 2006, 4 (3), pp. 313 - 325
dc.identifier.issn 1570-1263
dc.identifier.other C1 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.
dc.publisher IOS Press
dc.title Ontology-Based Integration Of Business Intelligence
dc.type Journal Article
dc.parent Web Intelligence and Agent Systems: An International Journal
dc.journal.volume 3
dc.journal.volume 4
dc.journal.number 3 en_US
dc.publocation Amsterdam, Netherlands en_US
dc.identifier.startpage 313 en_US
dc.identifier.endpage 325 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.for 080110 Simulation and Modelling
dc.personcode 011221
dc.personcode 034535
dc.percentage 100 en_US
dc.classification.name Simulation and Modelling en_US
dc.classification.type FOR-08 en_US
dc.description.keywords business intelligence; ontology; ontological engineering en_US
dc.description.keywords business intelligence
dc.description.keywords ontology
dc.description.keywords ontological engineering
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10


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