14 citations · 114 across the 30 of their papers we have counts for
9 papers · 1 filter
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…
Automatic Prompt Engineering with No Task Cues and No Tuning
Faisal Chowdhury, Nandana Mihindukulasooriya, Niharika S D'Souza +4
This paper presents a system for automatic prompt engineering that is much simpler in both design and application and yet as effective as the existing approaches. It requires no tu…
Transduction is All You Need for Structured Data Workflows
Alfio Gliozzo, Naweed Khan, Christodoulos Constantinides +4
This paper introduces Agentics, a functional agentic AI framework for building LLM-based structured data workflow pipelines. Designed for both research and practical applications,…
Automatic Prompt Optimization for Knowledge Graph Construction: Insights from an Empirical Study
Nandana Mihindukulasooriya, Niharika S. D'Souza, Faisal Chowdhury +1
A KG represents a network of entities and illustrates relationships between them. KGs are used for various applications, including semantic search and discovery, reasoning, decisio…
Research Trends for the Interplay between Large Language Models and Knowledge Graphs
Hanieh Khorashadizadeh, Fatima Zahra Amara, Morteza Ezzabady +7
This survey investigates the synergistic relationship between Large Language Models (LLMs) and Knowledge Graphs (KGs), which is crucial for advancing AI's capabilities in understan…
Scaling Knowledge Graphs for Automating AI of Digital Twins
Joern Ploennigs, Konstantinos Semertzidis, Fabio Lorenzi +1
Digital Twins are digital representations of systems in the Internet of Things (IoT) that are often based on AI models that are trained on data from those systems. Semantic models…
Knowledge Graph Induction enabling Recommending and Trend Analysis: A Corporate Research Community Use Case
Nandana Mihindukulasooriya, Mike Sava, Gaetano Rossiello +7
A research division plays an important role of driving innovation in an organization. Drawing insights, following trends, keeping abreast of new research, and formulating strategie…
SeMantic AnsweR Type prediction task (SMART) at ISWC 2020 Semantic Web Challenge
Nandana Mihindukulasooriya, Mohnish Dubey, Alfio Gliozzo +3
Each year the International Semantic Web Conference accepts a set of Semantic Web Challenges to establish competitions that will advance the state of the art solutions in any given…
Hypernym Detection Using Strict Partial Order Networks
Sarthak Dash, Md Faisal Mahbub Chowdhury, Alfio Gliozzo +2
This paper introduces Strict Partial Order Networks (SPON), a novel neural network architecture designed to enforce asymmetry and transitive properties as soft constraints. We appl…