Sentiment Analysis for Arabizi: A Multilingual Jargon on Social Media
After spending almost 2 years at the lab, I am finally pleased to share my research with my friends....Read more
Miriam Fernandez
Research Fellow
Miriam Fernandez
Research Fellow
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
KMi at ISWC 2016
The 15th International Semantic Web Conference took place recently in Kobe, Japan, and the KMi contingent had a very strong showing at the conference....Read more
Dr Hassan Saif Receives the 2016 SWSA Distinguished Dissertation Award
Dr Hassan Saif has recently received the 2016 SWSA Distinguished Dissertation Award for his Thesis: “Semantic Sentiment Analysis of Microblogs”....Read more
KMi at ESWC 2016!
As with past editions of the Extended Semantic Web Conference, the Thirteenth edition (ESWC2016), once again held in Anissaras, Crete, featured a significant KMi delegation and a host of former KMi-ers....Read more
ReelLives
Development of filmic representations of social media content for individuals and groups using a mixture of semantic, content, and network analysis...Read more
Sense4Us
tools and techniques to enable policy makers to gather, integrate, and analyse policy-related discussions...Read more
DecarboNet
A Decarbonisation Platform for Citizen Empowerment and Translating Collective Awareness into Behavioural Change...Read more
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
Lastra-Díaz, J, García-Serrano, A, Batet, M, Fernandez, M. and Chirigati, F (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
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Knowledge Media Institute
The Open University
Milton Keynes
MK7 6AA
United Kingdom
