K
Kieron O'Hara
Researcher at University of Southampton
Publications - 216
Citations - 4359
Kieron O'Hara is an academic researcher from University of Southampton. The author has contributed to research in topics: Semantic Web & The Internet. The author has an hindex of 32, co-authored 215 publications receiving 4080 citations. Previous affiliations of Kieron O'Hara include Open University of Catalonia & University of South Australia.
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Book
A Framework for Web Science
TL;DR: This text sets out a series of approaches to the analysis and synthesis of the World Wide Web, and other web-like information structures, and a comprehensive set of research questions is outlined, together with a sub-disciplinary breakdown, emphasising the multi-faceted nature of the Web.
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Linked Open Government Data: Lessons from Data.gov.uk
Nigel Shadbolt,Kieron O'Hara,Tim Berners-Lee,Nicholas Gibbins,Hugh Glaser,Wendy Hall,mc schraefel +6 more
TL;DR: A project to extract value from open government data contributes to the population of the linked data Web with high-value data of good provenance.
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Knowledge representation with ontologies: the present and future
TL;DR: An explosion of interest in ontologies as artifacts to represent human knowledge and as critical components in knowledge management, the semantic Web, business-to-business applications, and several other application areas is seen.
Journal ArticleDOI
Lifelogging: Privacy and empowerment with memories for life
TL;DR: It is argued that some of the privacy concerns are overblown, and that much research and commentary on lifelogging has made the unrealistic assumption that the information gathered is for private use, whereas, in a more socially-networked online world, much of it will have public functions and will be voluntarily released into the public domain.
Folksonomies, the semantic web, and movie recommendation
Martin Szomszor,Ciro Cattuto,Harith Alani,Kieron O'Hara,Andrea Baldassarri,Vittorio Loreto,Vito D. P. Servedio +6 more
TL;DR: This paper investigates the question that folksonomy-generated movie tag-clouds can be used to construct better user profiles that reflect a user's level of interest in different kinds of movies, and therefore, provide a basis for prediction of their rating for a previously unseen movie.