Integration of business intelligence based on three-level ontology services

Usually, integration of business intelligence (BI) from realistic telecom enterprise is by packing data warehouse (DW), OLAP, data mining and reporting from different vendors together. As a result, BI system users are transferred to a reporting system with reports, data models, dimensions and measures predefined by system designers. As a result of survey, 85% of DW projects failed to meet their intended objectives. In this paper, we investigate how to integrate BI packages into an adaptive and flexible knowledge portal by constructing an internal link and communication channel from top-level business concepts to underlying enterprise information systems (EIS). An approach of three-level ontology services is developed, which implements unified naming, directory and transport of ontology services, and ontology mapping and query parsing among conceptual view, analytical view and physical view from user interfaces through DW to EIS. Experiments on top of real telecom EIS shows that our solution for integrating BI presents much stronger power to support operational decision making more user-friendly and adoptively compared with those simply combining BI products presently available together. © 2004 IEEE

Multi-Agent System for Decision Support in Enterprises

Business decisions must rely not only on organisation’s internal data but also on external data from competitors or relevant events. This information can be obtained from the Web but must be integrated with the data in an organisation’s Data Warehouse (DW). In this paper we discuss the agent-based integration approach using ontologies. To enable common understanding of a domain between people and application systems we introduce business rules approach towards ontology management. Because knowledge in organisation’s ontologies is acquired from business users without technical knowledge simple user interface based on ontology restrictions and predefined templates are used. After data from internal DW, Web and business rules are acquired; agent can deduce new knowledge and therefore facilitate decision making process. Tasks like information retrieval from competitors, creating and reviewing OLAP reports are autonomously performed by agents, while business users have control over their execution through knowledge base in ontology. The approach presented in the paper was verified on the case study from the domain of mobile communications with the emphasis on supply and demand of mobile phones and its accessories

Ontology services-based information integration in mining telecom business intelligence

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.