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
News
10 Sep 2020
14 Nov 2019
14 Jul 2017
05 Jun 2017
05 Jun 2014
Publications
Mulholland, P., Stoneman, A., Barker, N., Maguire, M., Carvalho, J., Daga, E. and Warren, P. (2023) The Sound of Paintings: Using Citizen Curation to Explore the Cross-Modal Personalization of Museum Experiences, Workshop on Personalized Access to Cultural Heritage (PATCH) at UMAP '23, Limassol, Cyprus
Warren, P. and Mulholland, P. (2022) Edge-labelled graphs and property graphs - to the user, more similar than different, Knowledge Graphs and Semantic Web 4th Iberoamerican Conference and third Indo-American Conference, Madrid
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
Tech Reports
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
