Insights into Semantic Intelligence for Data-Driven Business Applications

Journal of Advanced Engineering Technology and Management

ISSN (Online): 3049-3684  

Volume: 1 Issue: 1 | Open Access | 16 October 2025

Insights into Semantic Intelligence for Data-Driven Business Applications

Kauser Hussain, Engineering Student, LPU

Abstract: Semantic intelligence—combining semantic web technologies (ontologies, RDF/OWL, linked data, Ontology-Based Data Access), knowledge graphs (KGs), symbolic reasoning, and machine learning- has become a practical approach for integrating heterogeneous enterprise data and powering explainable, interoperable business applications. This review surveys enabling technologies, common application patterns (enterprise knowledge graphs, Customer-360, risk & compliance, supply-chain analytics, KG-backed NLP and RAG), engineering practices, evaluation metrics, and open challenges (scalability, governance, KG-ML integration, privacy). We synthesize academic and industry evidence from 2013–2025 and point to directions for research and deployment.

Keywords: Semantic intelligence, knowledge graphs, ontologies, OBDA, enterprise knowledge graph, knowledge graph embeddings, retrieval-augmented generation, enterprise AI.

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