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Intelligent Knowledge Management System for Efficient Decision Making

Year: 2026

Type: article

Abstract: Description: The Intelligent Knowledge Management System for Efficient Decision Making (IKMS) is all about improving the way that organisations manage, analyse and retrieve their knowledge through the use of AI, machine learning and NLP. The project is about automating data classification, summarisation and insight extraction in order to reduce information overload and enable faster, more accurate and more informed decision-making. It looks at the use of a Neo4j knowledge graph model to represent the relationships between the information and hence improve the accessibility of that knowledge. The poster outlines the project's aims, motivation, methodology, the technical and practical issues that will be encountered, and the potential applications. The proposed approach is that intelligent knowledge management will reduce the amount of manual work, increase productivity, and enable data-driven decision-making in a range of different areas.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.23720637

Authors: Raju Ahmad, Jahidul Ialsm, Masruf Ahmed, Mutasim Fuad, Mohiuddin Ahmmed

Institution: Bangladesh University of Business and Technology

Language: English

Topic: Knowledge Management and Technology

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7224114371

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