10th Meet-up of The Turing Interest Group on Knowledge Graphs

Turing Interest Group on Knowledge Graphs.

Attendance to the event is open to everyone.

Registration, Sponsorship and Call for presentations and/or posters:

Travel grants: Around 10 travel grants of around £100 are available to support the participation of PhD students and early postdocs.
- To apply email the Interest Group organisers with the following information: (1) full name, (2) institution, (3) if you are a PhD or a postdoc and (4) title of your presentation/poster.

Agenda (Tentative)

09:15-09:45 Registration, poster set up and coffee.

09:45-10:00 Welcome to the meet-up.

10:00-10:45 Keynote I: The Quest for Schemas in Graph Databases

Angela Bonifati, Lyon 1 University

10:45-11:45 Short Presentations from members (10min + 5 QA)

Elhadj Benkhelifa, University of Staffordshire, UK / Westcliff University: The Knowledge Graph Alliance
Nitisha Jain, King's College London: Towards Interpretable Embeddings: Aligning Representations with Semantic Aspects
Seferin James, British Standards Institution: Hierarchical routing across graph facets
Marco Mesiti, Università degli Studi di Milano: Construction and enhancement of an RNA-based knowledge graph for discovering new RNA drugs

11:45-12:45 Lunch, Networking and posters (1h)

12:45-13:30 Keynote II: A Knowledge Graph with Task Representations and Applications in the Design of General-Purpose Task Completion Agents

Emine Yilmaz, University College London

13:30:-14:15 Short Presentations from members (5min + 2 QA)

Xiaoxue Shen, The Alan Turing Institute: A structured knowledge graph for digital twins for structural dynamic systems
Lorenzo Loconte, The University of Edinburgh: How to Turn your Knowledge Graph Embeddings into Generative Models
Nikolai Kazantsev, University of Cambridge: Knowledge Graphs that Design Demand-driven Collaborations
Pavlos Vougiouklis, Huawei Technologies R&D UK: Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and Schema Pruning
Seyed Amir Hosseini Beghaeiraveri, The University of Edinburgh: ShEx-to-Datalog: Optimizing Validation, Subsetting, and Reasoning over RDF

14:15-15:15 Coffee Break and Poster session (1h)

15:15-15:45 Panel Session: take home notes from the ISWC Special Session on Harmonising Generative AI and Semantic Web Technologies

15:45-16:00 Closing and Group Photo

Presenter	Affiliation	Poster Title
Milan Markovic	University of Aberdeen	Farm Explorer: A Tool for Calculating Transparent Greenhouse Gas Emissions
Sevinj Teymurova	City St George's, University of London	OWL2Vec4OA: Tailoring Knowledge Graph Embeddings for Ontology Alignment
Terence Egbelo	University of Sheffield	Topological bias in knowledge graphs: lessons from the biomedical domain
Laura Balbi	University of Lisbon	LET'S AGREE TO DISAGREE: Neuro-Symbolic AI for conflict-aware learning over Knowledge Graphs
Susana Nunes	University of Lisbon	Knowledge Graph-based Explanations for Biomedical AI
Pedro Giesteira Cotovio	University of Lisbon	Learning and Explaining Knowledge Graph Alignment
Lucas Ferraz	University of Lisbon	Development of an Ontological Fuzzy-search API for Semantic Knowledge Extraction
Ricardo Carvalho	University of Lisbon	Time and Knowledge Aware Clinical Graph Data Mining
Marta Silva	University of Lisbon	Complex Multi-Ontology Alignment through Geometric Operations on Language Embeddings
Lorenzo Loconte	The University of Edinburgh	How to Turn your Knowledge Graph Embeddings into Generative Models
Zhili Shen, Chenxin Diao	Huawei Technologies R&D UK	Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and Schema Pruning
Zhongtian Sun	University of Oxford	Building infectious disease databases and knowledge graphs with large language models
Marco Mesiti	Università degli Studi di Milano	Construction and enhancement of an RNA-based knowledge graph for discovering new RNA drugs