Developing a framework for Ai-Islamic knowledge mapping at Malaysian Islamic–based special library: A preliminary study.

Abstract

This conceptual paper proposes a preliminary framework for AI-enabled Islamic knowledge mapping tailored to Malaysian Islamic-based special libraries. Traditional cataloguing systems such as Dewey Decimal Classification (DDC) and Library Congress Classification (LCC) usually not be able to capture the semantic depth, interdisciplinary nature, and epistemological principles inherent in Islamic knowledge. By integrating Artificial Intelligence (AI) tools, particularly natural language processing (NLP), machine learning, and ontology development with Islamic epistemological foundations like maqasid al-shariah and tawhid, the study addresses the limitations of existing systems. Utilizing Jabareen’s eight-phase methodology, the framework offers a structured model for enhancing semantic search, multilingual access, and thematic classification. The outcome supports Malaysia’s digital transformation agenda while preserving the authenticity of Islamic intellectual traditions. This framework provides a theoretical foundation for future empirical validation for ontology  and system development in the context of Islamic knowledge management.