Besides natural resources like land, oil, capital, and labor, data plays a key role in modern economic production and has become a raw material for business. Industry 4.0 is shifting towards a data-driven society. The value of data gets unlocked when it is semantically integrated and analytically explored to derive intelligent decisions.
The BIKE research group in the Computer Science and Engineering Department, University of Chittagong conducts research in the fields of data, information, and knowledge engineering, with an emphasis on the data/information/knowledge lifecycle within data-intensive systems. Our primary focus areas include Big (Linked) data management, integration, analysis, knowledge graph generation, and exploration.
Providing data-driven solutions for societal challenges.
Enabling seamless integration of heterogeneous data sources.
Creating and exploring structured knowledge representations.
Connecting and enriching national open data.
Creating a multidimensional semantic data warehouse and enabling OLAP-style analysis.
Extracting insights from textual data to understand public perception.
Handling large-scale data processing and storage challenges.
Analyzing and predicting trends over time using complex datasets.