I presented our accepted DEMO paper "SOURCERY: User Driven Multi-Criteria Source Selection" at the CIKM 2018 conference in Torino, Italy. SOURCERY is an interactive source selection web application that looks to elicit and model a user's preferences and then select sources that are most fit for purpose for the user's needs.
To read the paper Click Here , and to try out and explore the DEMO Click Here (for PDF version of the guide Click Here)
My areas of research interests include decision support, advanced information management and machine learning & optimisation.
After completing a BSc in Computer Science I worked as a software engineer in France and then in London, before attaining a PhD in computer science from Manchester’s school of computer science. My PhD investigated utilising elements from machine learning, such as evolutionary computing, within decision making areas such as inconsistency reduction and compromise analysis within group decision making.
Since completing my PhD I have worked as a Research Associate upon the EPSRC funded Value-Added Data Systems (VADA) project. The VADA project is investigating, data management principles, techniques, methodologies and tools to support, in the context of big data, the complete cycle (from extraction, through semantic integration, to querying) of data provision that is sensitive to the user context and aims to find best-fit solutions in the light of the data context (e.g., quality, provenance, etc.). During the project I have also been involved in Knowledge transfer activities, and worked on a 3 month data science internship at the BBC R&D, investigating personalisation and advanced information management.
Additionally, I am involved with various outreach and teaching activities. I have been involved in activates including being a coding tutor, teaching computer science within primary schools, with The Tutor Trust and running an afterschool Code Club.
Edward Abel, John A. Keane, Norman W. Paton, Alvaro A. A. Fernandes, Martin Koehler, Nikolaos Konstantinou, Nurzety A. Azuan, Suzanne M. Embury "SOURCERY: User Driven Multi-Criteria Source Selection." CIKM 2018: 1947-1950 [Link]
Ixent Galpin, Edward Abel, Norman W. Paton "Source Selection Languages: A Usability Evaluation." HILDA@SIGMOD 2018: 8:1-8:6 [Link]
Edward Abel, John A. Keane, Norman W. Paton, Alvaro A. A. Fernandes, Martin Koehler, Nikolaos Konstantinou, Julio César Cortés Ríos, Nurzety A. Azuan, Suzanne M. Embury "User driven multi-criteria source selection." Inf. Sci. 430: 179-199 (2018) [Open Acess Link]
Edward Abel, Ludmil Mikhailov, John A. Keane "Inconsistency reduction in decision making via multi-objective optimisation." European Journal of Operational Research 267(1): 212-226 (2018) [PDF]
Koehler M., Bogatu A., Civili C., Konstantinou N., Abel E., Fernandes A., Keane J., Libkin L., Paton N., "Data context informed data wrangling". Int. Conf. on Big Data (BigData'17), IEEE, Boston, MA, USA, 2017 pages 956-963 [PDF link]
Ríos J., Paton N., Fernandes A., Abel E., Keane J.. "Targeted Feedback Collection Applied to Multi-Criteria Source Selection" Advances in Databases and Information Systems 2017, pages 136-150. [Link]
Konstantinou N., Koehler M., Abel E., Civili C., Neumayr B., Sallinger E., Fernandes A., Gottlob G., Keane J., Libkin L., Paton N., "The VADA Architecture for Cost-Effective Data Wrangling", Proceedings of the 2017 ACM International Conference on Management of Data, 2017, pages 1599-1602 [Link]
Abel E. "Preference Elicitation from Pairwise Comparisons for Traceable Multi-Criteria Decision Making" PhD Thesis [PDF]
Abel E., Mikhailov L., Keane J. “Group Aggregation of Pairwise Comparisons Using Multi-Objective Optimization” Information Sciences journal. 2015, Volume 322, Pages 257–275 [PDF]
Abel E., Mikhailov L., Keane J. “Clustering Decision Makers with respect to similarity of views” SSCI clustering paper. Symposium Series on Computational Intelligence (IEEE SSCI) IEEE International Conference, 2014 [PDF]
Abel E., Mikhailov L., Keane J., "Reducing Inconsistency in Pairwise Comparisons Using Multi-objective Evolutionary Computing," in Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference, 2013, pp. 80-8 [PDF]
