activity
20242026
collaborators

35 papers

cs.AI2026

FedV-KGQA: Multi-Hop Question Answering over Vertically Partitioned Knowledge Graphs

Md Saikat Islam Khan Bappy, Oshani Seneviratne

Real-world data for knowledge graph question answering is often distributed across different organizations due to governance and data sovereignty constraints. While centralized sys…

cs.IR2026

GrOIL: Graph-Grounded Domain Ontology Induction with Constrained LLM Mediation

Maruf Ahmed Mridul, Abid Talukder, Oshani Seneviratne

Constructing formal ontologies from domain documents requires simultaneously enforcing corpus grounding, vocabulary consistency, axiom-level expressivity, and end-to-end provenance…

cs.LG2026

SemStruct: Contextualizing Semantic Embeddings with Structural Information for Schema Matching

Inwon Kang, Kavitha Srinivas, Nandana Mihindukulasooriya +4

Schema matching is a fundamental step in integrating heterogeneous data sources. While Pre-trained Language Models (PLMs) have revolutionized this task by capturing linguistic sema…

cs.AI2026

Towards Automated Ontology Generation from Unstructured Text: A Multi-Agent LLM Approach

Abid Talukder, Maruf Ahmed Mridul, Oshani Seneviratne

Automatically generating formal ontologies from unstructured natural language remains a central challenge in knowledge engineering. While large language models (LLMs) show promise,…

cs.IR2026

From "Strings" to "Things" for Personal Knowledge Graphs: Evaluating LLM Triple Extraction for Recommendation Systems

Abhirup Dasgupta, Fernando Spadea, Oshani Seneviratne

Personal Knowledge Graphs (PKGs) offer a privacy-preserving framework for modeling user preferences, yet constructing them from unstructured, decentralized conversational data rema…

cs.LG2026

From Risk to Rescue: An Agentic Survival Analysis Framework for Liquidation Prevention

Fernando Spadea, Oshani Seneviratne

Decentralized Finance (DeFi) lending protocols like Aave v3 rely on over-collateralization to secure loans, yet users frequently face liquidation due to volatile market conditions.…