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Miriam Fernandez Member status icon

Research Fellow
Miriam Fernandez Photograph

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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


07 Apr 2016


Publications | Visit External Site for Details  

Fernandez, M., , g., Alani, H., Piccolo, L., Meili, C. and Hess, R. (2015) Analysing engagement towards the 2014 Earth Hour Campaign in Twitter, EnviroInfo &ICT4S 2015: Building the Knowledge Base for Environmental Action and Sustainability

Publications | Visit External Site for Details  

Saif, H., Ortega, J., Fernandez, M. and Cantador, I. (2015) Sentiment Analysis in Social Streams Emotions and Personality in Personalized Services, eds. Springer


Dickinson, T., Fernandez, M., Thomas, L., Mulholland, P. and Alani, P. (2015) Identifying Prominent Life Events on Twitter, 8th International Conference on Knowledge Capture


Taylor, S. and Fernandez, M. (2015) An Information Acquisition and Analysis Toolkit for Policy Makers in Governmental and Legislative Institutions, eChallengues 2015, Vilnius, Lithuania

Publications | Visit External Site for Details  

Dickinson, T., Fernandez, M., Thomas, L., Mulholland, P., Briggs, P. and Alani, H. (2015) Automatic Identification of Personal Life Events in Twitter, Poster at ACM Web Science (WebSci '15), Oxford, UK

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Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
United Kingdom

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