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Member

Paul Warren

Visiting Research Fellow

I am interested in using insights from cognitive psychology to understand how people make sense of information. My Ph.D. thesis looked at Description Logics, a class of languages used to create ontologies. Specifically, I investigated a particular Description Logic syntax called Manchester OWL Syntax. My current research interest, in collaboration with Dr Paul Mulholland, is in how people query and make sense of Linked Data.

Keys: linked data, SPARQL, ontologies, description logics

Projects

Polifonia

News

10 Sep 2020

KMi at EKAW 2020 Ethical and Trustworthy Knowledge Engineering

14 Nov 2019

KMi, the first 25 years

14 Jul 2017

Congratulations to Dr Paul Warren

05 Jun 2017

KMi have become regulars at ESWC

05 Jun 2014

KMi at ESWC 2014!

Publications

Warren, P. and Mulholland, P. (2020) A comparison of the cognitive difficulties posed by SPARQL query constructs, 22nd International Conference on Knowledge Engineering and Knowledge Management (EKAW 2020), Bolzano, Italy

Warren, P., Mulholland, P., Collins, T. and Motta, E. (2019) Improving comprehension of Knowledge Representation languages: a case study with Description Logics, International Journal of Human-Computer Studies, 122, pp. 145-167

Warren, P. and Mulholland, P. (2018) Using SPARQL - the practitioners' viewpoint, International Conference on Knowledge Engineering and Knowledge Management (EKAW 2018), Nancy, France, Springer-Verlag

Warren, P., Mulholland, P., Collins, T. and Motta, E. (2017) Improving the Comprehensibility of Description Logics - Applying insights from theories of reasoning and language, Extended Semantic Web Conference (ESWC 2017), Portoroz, Slovakia

Warren, P., Mulholland, P. and Motta, T. (2017) Using Insights from Psychology and Language to Improve How People Reason with Description Logics, The Semantic Web. ESWC 2017. Lecture Notes in Computer Science, vol 10249, pp. 465-481

View all 9 publications