Published in OM 2025: The 20th International Workshop on Ontology Matching (ISWC 2025), 2025
Deep reinforcement and adaptive learning ontology alignment framework submitted to the OAEI 2025 campaign, achieving benchmark scores of 82% Precision and Recall on the complex anatomy track.
Recommended citation: A. G. Ravishankar, M. Zaefi, S. Bansal. "DRAL-OA: Results for OAEI 2025." OM 2025: The 20th International Workshop on Ontology Matching, 2025.
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Published in 19th IADIS International Conference on Information Systems and 24th International Conference on e-Society (IS/ES), 2026, 2026
Introduces GEMR:KG, a knowledge graph unifying the World Bank Global Economic Monitor and the GEMR Risk Database to enable multi-relational analysis of emerging market risk.
Recommended citation: A. G. Ravishankar. "GEMR:KG – Global Emerging Market Risk Knowledge Graph." 19th IADIS International Conference on Information Systems and 24th International Conference on e-Society (IS/ES), 2026, pp. 143–150.
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Published in 2026 IEEE International Conference on Semantic Computing (ICSC), 2026
Survey investigating alignment methodologies for heterogeneous Knowledge Graphs and their application in grounding LLMs via Retrieval-Augmented Generation to enforce factual consistency and mitigate hallucinations.
Recommended citation: A. G. Ravishankar, S. Bansal. "Knowledge Graph Interoperability and Reasoning: A Brief Survey of Alignment Techniques and Retrieval-Augmented Generation Approaches." 2026 International Conference on Semantic Computing (ICSC), pp. 409-415, IEEE, 2026.
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Presented at the ACM Research Symposium hosted by the ACM Student Chapter at Arizona State University, focusing on guiding students through the Student Research Competition (SRC) process and fostering research culture among undergraduate and graduate students.
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Pitched Asper at TiE Phoenix, presenting the venture to a panel of investors and entrepreneurs in the Phoenix startup ecosystem.
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Presented the paper “Knowledge Graph Interoperability and Reasoning: A Survey of Alignment and RAG” at the IEEE International Conference on Semantic Computing (ICSC) 2026. The talk covered a comprehensive survey exploring entity alignment techniques and Retrieval-Augmented Generation (RAG) frameworks for merging heterogeneous knowledge graphs.
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Presentation for the Google Research MedGemma Impact Challenge.
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Presented our paper on the GEMR:KG (Global Emerging Market Risk Knowledge Graph) at the 19th IADIS International Conference on Information Systems in Zagreb, Croatia. Aligning with the World Bank and IFC, we harness the power of knowledge graphs to handle the heterogeneity involved in complex economic datasets – piloting a unified semantic model to track how financial distress and systemic risks can be analyzed across emerging countries.