A
Aba-Sah Dadzie
Researcher at Open University
Publications - 47
Citations - 806
Aba-Sah Dadzie is an academic researcher from Open University. The author has contributed to research in topics: Semantic Web & Ontology (information science). The author has an hindex of 12, co-authored 46 publications receiving 739 citations. Previous affiliations of Aba-Sah Dadzie include Heriot-Watt University & University of Sheffield.
Papers
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Journal ArticleDOI
Approaches to visualising linked data: a survey
Aba-Sah Dadzie,Matthew Rowe +1 more
TL;DR: Key requirements which the visualisation of Linked Data must fulfil in order to lower the technical barrier and make the Web of Data accessible for all are described and proposals for advancing current Linked data visualisation efforts are presented.
Journal ArticleDOI
A theory-based online health behaviour intervention for new university students (U@Uni): results from a randomised controlled trial
Tracy Epton,Tracy Epton,Paul Norman,Aba-Sah Dadzie,Peter R. Harris,Thomas L. Webb,Paschal Sheeran,Steven A. Julious,Fabio Ciravegna,Alan Brennan,Petra Meier,Declan P. Naughton,Andrea Petróczi,Jen Kruger,Iltaf Shah +14 more
TL;DR: The results of the RCT indicate that the online health behaviour intervention reduced smoking rates, but it had little effect on fruit and vegetable intake, physical activity or alcohol consumption, during the first six months at university.
Making sense of microposts (#Microposts2014) named entity extraction & linking challenge
Amparo Elizabeth Cano,Giuseppe Rizzo,Andrea Varga,Matthew Rowe,Milan Stankovic,Aba-Sah Dadzie +5 more
TL;DR: The evaluation process is described and the performance of the different approaches to the #Microposts2014 NEEL Challenge is discussed, which consists of the automatic extraction and linkage of entities appearing within English Microposting on Twitter.
Book Chapter
Making sense of microposts (#MSM2013) concept extraction challenge
TL;DR: The evaluation process is described and the performance of different approaches in different contexts are explained, to help clarify the suitability of concept extraction tools and methods for Micropost data.
Journal ArticleDOI
Visualisation of Linked Data – Reprise
Aba-Sah Dadzie,Emmanuel Pietriga +1 more
TL;DR: The papers in this volume illustrate the design and construction of intuitive means for end-users to obtain new insight and gather more knowledge, as they follow links defined across datasets over the Web of Data.