Ontology services-based information integration in mining telecom business intelligence

Cao, L; Luo, C; Luo, D; Liu, L

Ontology services-based information integration in mining telecom business intelligence

Cao, L

Luo, C Luo, D Liu, L

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Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 2004, 3157 pp. 85 - 94
Issue Date:: 2004-12-01

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Field	Value	Language
dc.contributor.author	Cao, L https://orcid.org/0000-0003-1562-9429	en_US
dc.contributor.author	Luo, C	en_US
dc.contributor.author	Luo, D	en_US
dc.contributor.author	Liu, L	en_US
dc.date.issued	2004-12-01	en_US
dc.identifier.citation	Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 2004, 3157 pp. 85 - 94	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/1771
dc.description.abstract	Ordinary implementation of mining telecom business intelligence (BI) is to simply pack data warehouse (DW), OLAP and data mining engines together. In practice, this type of system cannot adapt to changing or new requirements emergent in the problem domain. As a result of survey, 85% of DW projects failed to meet their intended objectives. In this paper, an internal linkage and communication channel, namely an ontology service-based match and translation among user interface, DW, and enterprise information systems, is developed, which implements unified naming and directory of ontology services, metadata management and rule generation for ontology mapping and query parsing among conceptual view, analytical view and physical view from top down. A system prototype on top of realistic telecom environment shows that our intelligence integration solution presents much stronger power to deal with operational decision making user-friendly and adaptively compared with those simply combining BI products available from vendors. © Springer-Verlag Berlin Heidelberg 2004.	en_US
dc.relation.ispartof	Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Ontology services-based information integration in mining telecom business intelligence	en_US
dc.type	Conference Proceeding
utslib.citation.volume	3157	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Auckland, New Zealand	en_US
pubs.embargo.period	Not known	en_US
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 - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	3157	en_US

Abstract:

Ordinary implementation of mining telecom business intelligence (BI) is to simply pack data warehouse (DW), OLAP and data mining engines together. In practice, this type of system cannot adapt to changing or new requirements emergent in the problem domain. As a result of survey, 85% of DW projects failed to meet their intended objectives. In this paper, an internal linkage and communication channel, namely an ontology service-based match and translation among user interface, DW, and enterprise information systems, is developed, which implements unified naming and directory of ontology services, metadata management and rule generation for ontology mapping and query parsing among conceptual view, analytical view and physical view from top down. A system prototype on top of realistic telecom environment shows that our intelligence integration solution presents much stronger power to deal with operational decision making user-friendly and adaptively compared with those simply combining BI products available from vendors. © Springer-Verlag Berlin Heidelberg 2004.

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http://hdl.handle.net/10453/1771