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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

News

12 Dec 2018


14 Jul 2017


05 Jun 2017


05 Jun 2014


Publications

Publications | Visit External Site for Details  

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

Publications | Visit External Site for Details  

Warren, P., Mulholland, P., Collins, T. and Motta, E. (2018) Improving comprehension of Knowledge Representation languages: a case study with Description Logics, International Journal of Human-Computer Studies

Publications | Visit External Site for Details  

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

Publications | Visit External Site for Details  

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

Publications | Visit External Site for Details  

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 11 publications

Tech Reports

View AbstractDownload PDF

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

View AbstractDownload PDF

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

View AbstractDownload PDF

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

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Knowledge Media Institute (KMi)
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The Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM) at the Open University. KMi is looking for a Full-Stack...

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Knowledge Media Institute (KMi)
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Temporary contract until 31st July 2019

The Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM) at the Open University. KMi is looking for a Full-Stack...

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