Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{197893,
        author = {Sangeetha.K and Dr.V.Priya},
        title = {AI-Driven Semantic Integration of RDF and DOM Structures for Intelligent Healthcare Data Management},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {8139-8141},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197893},
        abstract = {The integration of semantic data with web-based document structures remains a critical challenge in healthcare informatics. This paper proposes an AI-enhanced framework that bridges the Resource Description Framework (RDF) with the Document Object Model (DOM) to improve the accuracy and efficiency of electronic health record (EHR) search and retrieval. By utilizing natural language processing (NLP), intelligent agents, and semantic matching algorithms, the proposed system dynamically extracts, classifies, and ranks patient data across heterogeneous platforms. Experimental analysis demonstrates significant improvement in search relevance, system interoperability, and data-driven clinical decision-making.},
        keywords = {AI integration, RDF, DOM, healthcare data, intelligent agents, semantic search, electronic health records},
        month = {April},
        }