Heterogeneous Data Integration and Sharing for Intelligent Decision-Making

Abstract

Integrating and sharing multi-source heterogeneous data plays an important role in intelligent decision-making across multiple data sources within an organization, while data heterogeneity poses a major challenge to intelligent decision-making data analysis. This presentation introduces the key challenges of intelligent decision-making across multiple data sources in an organization and explores how knowledge-enhanced data integration methods can empower intelligent decision-making through advanced data sharing and analysis.

Chuangtao Ma

Postdoctoral Researcher