From the 1 of 11 linked papers with an AI index.
11 papers
SciSchema.org: A Multidisciplinary Collection of Schemas for Structured Scientific Process Descriptions
Jennifer D'Souza, Sameer Sadruddin, Anisa Rula +23
The paper introduces SciSchema.org, a multidisciplinary collection of 16 expert‑annotated schemas for describing scientific processes in a structured way, created using a human‑in‑…
OntoLearner: A Modular Python Library for Ontology Learning with Large Language Models
Hamed Babaei Giglou, Jennifer D'Souza, Andrei Aioanei +2
Ontology learning (OL) aims to automatically construct structured knowledge models from text, yet progress remains fragmented across methods, domains, and evaluation practices. Des…
OntoAligner Meets Knowledge Graph Embedding Aligners
Hamed Babaei Giglou, Jennifer D'Souza, Sören Auer +1
Ontology Alignment (OA) is essential for enabling semantic interoperability across heterogeneous knowledge systems. While recent advances have focused on large language models (LLM…
DeepResearch: A Recursive Agentic Workflow for Complex Scientific Question Answering in Ecology
Jennifer D'Souza, Endres Keno Sander, Andrei Aioanei
We introduce DeepResearch, a novel agentic LLM-based system for automated scientific synthesis that supports recursive, depth- and breadth-controlled exploration of…
YESciEval: Robust LLM-as-a-Judge for Scientific Question Answering
Jennifer D'Souza, Hamed Babaei Giglou, Quentin Münch
Large Language Models (LLMs) drive scientific question-answering on modern search engines, yet their evaluation robustness remains underexplored. We introduce YESciEval, an open-so…
LLMs4SchemaDiscovery: A Human-in-the-Loop Workflow for Scientific Schema Mining with Large Language Models
Sameer Sadruddin, Jennifer D'Souza, Eleni Poupaki +7
Extracting structured information from unstructured text is crucial for modeling real-world processes, but traditional schema mining relies on semi-structured data, limiting scalab…