BIKE Lab Logo   Big Data, Information and Knowledge Engineering Lab, CSE CU

Big Data Information & Knowledge Engineering (BIKE) Lab

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About BIKE Lab

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.

Vision & Mission

Vision

Providing data-driven solutions for societal challenges.

Mission

  • Are passionate and committed to going the extra mile.
  • Seek collaboration.
  • Provide trustworthy and sustainable solutions to stakeholders.

Research Areas

Semantic Data Integration

Enabling seamless integration of heterogeneous data sources.

Knowledge Graph Exploration

Creating and exploring structured knowledge representations.

Semantic Integration Over Bangladesh Open Data

Connecting and enriching national open data.

Business Analytics Over COVID-19 Data

Creating a multidimensional semantic data warehouse and enabling OLAP-style analysis.

Sentiment Analysis

Extracting insights from textual data to understand public perception.

Data-Intensive Systems

Handling large-scale data processing and storage challenges.

Time Series Data Analysis

Analyzing and predicting trends over time using complex datasets.

Datasets by BIKE Lab