Building Conflict-Aware Profiling Ontology from Data Warehouses

Provided by: University of Tulsa
Topic: Big Data
Format: PDF
User profiles or user models are crucial in many areas in which it is essential to obtain knowledge about users of software applications such as data warehouse technologies. To enhance the personalized services, group profiles are derived through combining individual user profiles in order to represent group modelling. In this paper, the authors propose a new representation of group profiles in OLAP context using the ontological modelling. Their main aim is to semantically enrich the representation of group preferences in data warehouses. Their ontology is validated using set of real collected OLAP query logs in stock market area.

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