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

KMi at EKAW 2020 Ethical and Trustworthy Knowledge Engineering

KMi, the first 25 years

Congratulations to Dr Paul Warren

KMi have become regulars at ESWC

KMi at ESWC 2014!

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

Ontology patterns: a survey into their use
Techreport ID: kmi-14-02
Date: 2014
Author(s): Paul Warren

Cognition, ontologies and description logics
Techreport ID: kmi-14-03
Date: 2014
Author(s): Paul Warren

Ontology Users' Survey - Summary of Results
Techreport ID: kmi-13-01
Date: 2013
Author(s): Paul Warren