Symposium of The Turing Interest Group on Knowledge Graphs*
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The Symposium of The Turing Interest Group on Knowledge Graphs is organizedd by the Knowledge Graph Turing Interest Group (KG-TIG) of the Alan Turing Institute (The Turing). The aim is to create a sandbox for future collaborations and joint applications for funding on topics such as teaching curricula, use cases, and applications of knowledge graphs, a critical area of data science and AI.
Conference History:
2nd Symposium of The Turing Interest Group on Knowledge Graphs, June 16, 2023, City University of London, London, United Kingdom
(Host: Department of Computer Science, School of Science & Technology, City University of London)
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Keynotes:
Addressing Label Sparsity With Class-Level Common Sense
The reasonable effectiveness of diverse data
On Risk, Existential Risk and What is Left to Do in AI (NeSy session)
Short presentations/pitches:
Fine-grain access control in knowledge graphs – balancing need to share with need to know
Knowledge & Semantics
Highly Scalable Reasoning over Knowledge Bases via Trigger Graphs
Building an Evidence Base of Global Climate Policy as a Knowledge Graph
New Features of the Ontology Lookup Service (OLS) Version 4
Social Networks for Front-Office Sales Interactions
Poster Session:
Data integration with knowledge graphs: Façade-X and the SPARQL Anything project
Triangulating evidence in health sciences using NLP and knowledge graphs
A derived information framework for a dynamic knowledge graph and its application to smart cities
Time prediction on Temporal Knowledge Graphs
Learning Where and When to Reason in Neuro-Symbolic Inference
Scoping review of knowledge graph applications in biomedical and healthcare sciences
KnowWhereGraph: A Geospatial Knowledge Graph to Support Cross-Domain Knowledge Discovery
Knowledge Graphs for NeSy AI Systems
City’s Women++ Computing Society
Introduction to The Turing interest group on Neuro-symbolic AI (NeSy session)
Networking/Matchmaking activity
1st Symposium of The Turing Interest Group on Knowledge Graphs, June 17, 2022, Alan Turing Institute, London, United Kingdom
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Keynotes:
Facilitating causality in science with cognitive knowledge graphs
FAIR, community standards and data FAIRification: components and recipes
Short presentations/pitches:
Knowledge Graph Potential from HTML-embedded Structured Data
Data Privacy, Data Exchange & OBDA, and Data Validation
Knowledge Graphs for Sustainability
Projects on topic-centric crowdsourcing, data visualization, and cyBer-security Learning
Learning Relationships on Knowledge Graph for Multimodal Data Integration
Knowledge Graph Representation and Domain-specific Construction
Matchmaking – Collaboration sandbox