MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202441102848 A) filed by Mphasis Limited on December 24, 2024, for Ai-Based Modernization Of Legacy Applications Through Ontology Driven Knowledge Extraction And Relearning.
Inventors include Nitin Rakesh; Anup Nair; Suresh Nair; Muhammad Atta Ul Haleem Vaince; Patrick Antivackis; Atul Kumar; Paramesh Ginjupalli; and Vivek Choudhury.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: AI-BASED MODERNIZATION OF LEGACY APPLICATIONS THROUGH ONTOLOGY DRIVEN KNOWLEDGE EXTRACTION AND RELEARNING ABSTRACT A system (100) and method for AI-based modernization of legacy applications through ontology driven knowledge extraction and relearning is provided. First and second input type is processed using pre-configured LLM agent. Knowledge graph representing semantics and implemented rules of the legacy application is generated using first and second input types and summaries of first and second input types. Relearning operation is performed to determine implemented rules from first input type using first prompt type and to generate data dictionary by executing a multi-step workflow. Workflows are derived from first and second input types by extracting semantic and syntactic relationships across the first and second input types. Knowledge graph, implemented rules, workflows and data dictionary are employed for downstream modernization activities associated with first input type.
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