International Journal of Scientific Research and Engineering Development

There has been an exponential increase in the number of scientific publications, making the analysis of academic literature, discovery of semantic knowledge, and synthesis of research more challenging and complex. Existing research systems have been mainly dedicated to isolated tasks, such as semantic retrieval, summarization, topic modeling or conversational interaction, each executed independently, leading to scattered analytical workflows, and negligible contextual continuity within stages of research analysis.
In this paper, we propose ResearchLens-CASCO, a Context-Adaptive Semantic Cognitive Orchestration framework for intelligent automated literature analysis through workflow-orchestrated NLP-pipelines. The framework enables semantic document understanding, dynamic context propagation, adaptive workflow optimization, persistent cognitive memory, transformer-based topic modeling, contextual retrieval, and conversational research assistance through a single cognitive research intelligence architecture.
ResearchLens-CASCO has the following four major new contributions: (1) Dynamic Semantic Context Propagation (DSCP) for maintaining contextual continuity over analytical stages; (2) Adaptive Cognitive Workflow Optimization (ACWO) for onthe-fly optimization of workflow execution paths; (3) Cognitive Research State Memory (CRSM) for persistent semantic reasoning and continuity of interaction; and (4) Iterative Research Attention Engine (IRAE) for adaptive contextual literature ranking and exploration.
The backend part of the application is developed using Node.js with Express.js for API routes and the frontend uses React.js. Experimental results show an improved contextual continuity, dynamic workflow adaptivity, and upgraded literature exploration efficiency with a semantic retrieval precision of 92.4% over traditional research-analysis baselines. The framework offers a scalable path toward the next generation of AI-based cognitive research intelligence systems for automated academic knowledge discovery environments.

Nirupama B, Deekshitha K R, Rakshitha M G, Sudeep Y M, Prof. Renuka H R,"ResearchLens-CASCO: A Context-Adaptive Cognitive Semantic Intelligence Framework for Automated Literature Exploration Using Workflow-Orchestrated NLP Pipelines" International Journal of Scientific Research and Engineering Development, V9(3): Page(747-753) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.