Member
Miriam Fernandez 
Research Fellow
+44 (0)1908 659400
My current research at KMi is focused on the analysis of online communities (Social Web). My aim is to understand users' behaviour and needs and to develop prediction models to foreseen risks and opportunities in online communities based on the behaviour of their users. I have also previously worked on semantic Search. Within the context of this research line I investigated methods to enhance traditional IR and QA techniques introducing higher level of conceptualisations in the form of ontologies as well as methods and benchmarks to evaluate semantic search systems
Keys: social web, semantic web, information retrieval, personalization, contextualization
Team: Harith Alani, , Elizabeth Cano, Smitashree Choudhury, Lara Piccolo, Hassan Saif, Keerthi Thomas
News
05 Jun 2018
22 May 2018
07 May 2018
07 Dec 2017
03 Nov 2017
Publications
Piccolo, L., De Liddo, A., Burel, G., Fernandez, M. and Alani, H. (2017) Collective intelligence for promoting changes in behaviour: a case study on energy conservation, AI & SOCIETY, pp. 1-11
, (2017) HESML: a scalable ontology-based semantic similarity measures library with a set of reproducible experiments and a replication dataset, Information Systems
Dickinson, T., Fernandez, M., Thomas, L., Mulholland, P., Briggs, P. and Alani, H. (2016) Detecting Important Life Events on Twitter Using Frequent Semantic and Syntactic Subgraphs, IADIS International Journal on WWW/Internet, 14, 2, pp. 23-37
Dickinson, T., Fernandez, M., Thomas, L., Mulholland, P., Briggs, P. and Alani, H. (2016) Identifying Important Life Events from Twitter Using Semantic and Syntactic Patterns, 15th International Conference WWW/Internet 2016, Mannheim, Germany
Saif, H., Fernandez, M., Rowe, M. and Alani, H. (2016) On the Role of Semantics for Detecting pro-ISIS Stances on Social Media, Poster at The 15th International Semantic Web Conference, Kobe, Japan
