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<strong>User Profiling and Personalized Services Using Ontology</strong>

時間：2017年11月27日上午10:00 地點：九龍湖計算機樓313

報告簡介：

Big data with four Vs (volume, variety, velocity and veracity) presents great challenges but also opportunities to organisations who tend to deliver superior services to communities. With big data and data analytic techniques, industries are transforming from experience-basis to evidence-basis, and from general model to personalised model. We urge knowledge graphs and ontology will play an important role in such transformation. In this talk, we will present our recent work on an ontology-based model for user profiling and personalised services. With novel models and methods, the work makes significant contributions to knowledge advancement in Knowledge Engineering, Data Mining, Information Retrieval, and Business Intelligence. The research outcomes have been published on top-tier journals (such as TKDE, KBS) and conferences (such as PAKDD, WI).

報告人簡介：

Xiaohui Tao is a Senior Lecturer in Faculty of Health, Engineering and Sciences with University of Southern Queensland (USQ), Australia. Before joined USQ, he was a Research Associate at Queensland University of Technology (QUT), Australia. His research interests include ontology learning and mining, Web Intelligence, Data Mining, Machine Learning, Information Retrieval, and IT in Healthcare. His research results have been published on highly influential forums such as TKDE, KBS, WWWJ, ICDE, PAKDD, CIKM, and WI. Xiaohui has also served as an organizer or PC Co-Chair/member in many events in the communities of Data Mining and Web Intelligence.

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