Intellectual Property India Publishes Patent Application for Ontology-Driven Multilingual Government Scheme Eligibility Inference And Adaptive Application Orchestration System

MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202611079143 A) filed by Sanskriti Shrivastava; Krishna Shrivastav; and Kipm College Of Engineering And Technology on June 26, 2026, for Ontology-Driven Multilingual Government Scheme Eligibility Inference And Adaptive Application Orchestration System.

Inventors include Sanskriti Shrivastava; Krishna Shrivastav; and Nitesh Kumar Jaiswal.

The application for the patent was published on August 07, 2026, under issue no. 32/2026.

Abstract: The present invention relates to an ontology-driven multilingual government scheme eligibility inference and adaptive application orchestration system. The system comprises a user data acquisition and profile management module configured to collect and manage citizen information, and a government scheme ontology management module configured to generate ontology structures representing government schemes, eligibility criteria, document requirements, and application workflows. An eligibility inference and recommendation engine performs ontology-based semantic reasoning to identify eligible government schemes and generate personalized recommendations. A multilingual interaction and language processing module facilitates communication in multiple languages. An intelligent form autofill and application orchestration module automates application preparation and workflow management. An AI document intelligence and verification engine validates uploaded documents, while a fraudulent portal and intermediary detection module identifies unauthorized service providers and phishing infrastructures. An application tracking and notification management module monitors application progress and generates citizen notifications. The integrated system improves government scheme accessibility, automates eligibility determination, enhances application processing efficiency, reduces manual intervention, prevents fraud, and facilitates intelligent multilingual public service delivery.

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