AI Centre · City St George's, University of London

Knowledge
Graphs Lab

We develop principled and practical methods for representing, integrating and reasoning over knowledge at scale.

Making connected knowledge useful

We are a research lab in the AI Centre at City St George's, University of London. Our work brings together knowledge representation, semantic technologies, machine learning and data integration to build trustworthy, interoperable knowledge-driven systems.

We welcome collaborations with researchers, public-sector organisations and industry partners.

Group members

Valentina Carapella

Postdoctoral Researcher

Valentina Carapella

Data science, data engineering and knowledge representation

Pedro Cotovio

Researcher

Pedro Cotovio

Ontology alignment with neuro-symbolic AI


External Members

Erica Yang

Honorary Visiting Fellow

Erica Yang

Knowledge Graphs for Healthcare


PhD students

Emin Osmanov

PhD student

Emin Osmanov

Integrating KGs with LLMs for Financial Due Diligence


Past members

Dave Herron

Postdoctoral Researcher

Dave Herron

Neurosymbolic AI and OWL-based Knowledge Graphs.

Research lines

01

Ontology Alignment

Scalable ontology alignment and alignment repair. Leveraging LLM as oracles.

Tools: LogMap, LogMapLLM

02

Knowledge Graph Validation

Scalable logical reasoning for knowledge graph validation and quality assurance.

Tools: KG validation

03

Ontology Embeddings

Learning embeddings that capture ontology semantics for downstream machine learning applications.

Tools: OWL2Vec*, ELK-Em, OWL2Vec4OA

04

Neuro-symbolic AI

Combining OWL-based KGs with learning methods for transparent and semantically-sound AI.

Tools: KGR4VRD, NeSy4VRD

Funded projects

GUARD

Ensuring Interoperable and Trustworthy Knowledge Graphs for Defence and National Security AI.

Funder: The Alan Turing Institute

November 2025 - May 2027

Project details →

CEREBRA AI

A unified framework for continual, explainable and embodied General-Purpose Artificial Intelligence.

Funder: Horizon Europe

September 2026 - August 2030

Project details →

RETRACE

RETRACE: Retrofitting Requirements for Auditable Crossings into Exchange Standards.

Funder: The Alan Turing Institute

October 2026 - March 2027

Project details (TBA) →

NeSy AI Medicine

Network on Neuro-Symbolic AI for Medicine.

Funder: Academy of Medical Sciences

March 2024 - September 2025

Network details →

Community efforts

01

UK Knowledge Graphs Group

The UK interest group on Knowledge Graphs aims at facilitating collaborative research and innovation in a critical area of data science and AI.

02

OAEI Campaign

The Ontology Alignment Evaluation Initiative aims at the systematic evaluation of ontology and KG alignment systems.

03

Ontology Matching Workshop

International Workshop on Ontology Matching, co-located with the International Semantic Web Conference (ISWC).

Selected publications

Please check the full list of publication here or in Google Scholar.

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