A Retail Ontology: Formal Semantics and Efficient Implementation

A Retail Ontology: Formal Semantics and Efficient Implementation Maryam Fazel Zarandi Masters of Science Graduate Department of Computer Science University of Toronto 2007 In today’s competitive business environment, the ability to make effective decisions is of central importance to an organization’s survival. In order to be successful, a modern enterprise should take advantage of all available data. Business intelligence systems can help provide the means to transform the available data into information and derive specific and timely knowledge about the domain. The focus of this research is on building a customer-centric business intelligence system applied to retail. This work describes a retail ontology that can automatically deduce answers to retail queries based upon the system’s general knowledge of online retailing and actual data. To be applicable in real world situations, the system should be able to deal efficiently with the huge amounts of data present in retail environments. To this end, this work also introduces a technique for reasoning efficiently with large datasets using state-of-the-art theorem provers or reasoners and existing database technology.

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