BiographyI enjoyed higher education at world leading, research intensive Universities (e.g., University of
Karlsruhe, ETH Zurich) and also having gained a considerable experience in teaching as Senior Lecturer at a teaching orientated, research informed higher education institution in the UK.
In particular, exposure and contribution to Web Science research group activities via the lenses of natural
language processing, text mining, information extraction and retrieval, could tie up and contribute to the interests and activities.
Nevertheless, the strong interest in collective intelligence and algorithms (see also editorship of the special issue on Collective Intelligence, Journal of Information Sciences, Elsevier) is a further contributor to the research interests and activities.
Cross-language Information Retrieval: This includes work on evaluating and extending W3C (World Wide
Web Consortium) on SKOS, a Web knowledge modelling language, advancing search and information
retrieval algorithms, applying lattice theory as a mathematical model to multi-lingual information retrieval.
Intelligent search on TV: This includes work on digital signal processing, multimedia information extraction,
semantic TV related aspects, e.g., automatic classification systems and models for TV conceptual search,
personalised TV and TV advertising models.
Web text analytics: This includes work on Named Entity Recognition, text based relation extraction,
semantic Web technologies and languages, e.g., the Web of data (Linked Open Data project, DBpedia,
Wikipedia, Freebase, etc.), This is an on-going 2-years project funded by the UK Technology Strategy
Areas of Research / Professional Expertise
Research into natural language based programming and semantic software engineering: This includes
work on transforming the programming languages community in that programming will be possible by
writing statements in natural language instead of hardly to understand programming language jargon.
Research into conceptual search and information retrieval: This includes work on transforming the current
search paradigm and algorithms, from key words based search to concepts based search, e.g., conceptual
structures and algorithms, in order to provide concrete answers to search instead of links to documents.
This has the potential to impact knowledge based economies and workers, e.g., in biosciences.
Research into text mining and topics extraction: This includes work on improving algorithms for topics
extraction and classification/clustering of news as provided by social media and agencies, e.g., BBC News.
Research into sign languages: This includes work on improving speech recognition algorithms for mapping
spoken language into sign language in the context of enabling a sign language based translator on
various forms of media communication, e.g., TV watching.
Research into collective intelligence and algorithms: This includes work on improving algorithms for the
study of mass behavioural models, e.g., cells and the immune system, societies of microbes, crowd