Ontology-Based Integration Of Business Intelligence

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dc.contributor.author Cao, Longbing en_US
dc.contributor.author Zhang, Chengqi en_US
dc.contributor.author Liu, Jiming en_US
dc.date.accessioned 2009-12-21T02:31:11Z
dc.date.available 2009-12-21T02:31:11Z
dc.date.issued 2006 en_US
dc.identifier 2006005236 en_US
dc.identifier.citation Cao Longbing, Zhang Chengqi, and Liu Jiming 2006, 'Ontology-Based Integration Of Business Intelligence', IOS Press, vol. 4, no. 3, pp. 313-325. en_US
dc.identifier.issn 1570-1263 en_US
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. en_US
dc.publisher IOS Press en_US
dc.relation.isbasedon en_US
dc.title Ontology-Based Integration Of Business Intelligence en_US
dc.parent Web Intelligence and Agent Systems: An International Journal en_US
dc.journal.volume 4 en_US
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 en_US
dc.personcode 034535 en_US
dc.personcode 011221 en_US
dc.personcode 0000028610 en_US
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

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