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3rd Monday Event

Exploiting Semantic Knowledge to Interface Human and Machine Intelligence by Taha Osman

Date: Monday, 18th June 2018
Time: 19:00 (tea & coffee available from 18:30)
Location: Novotel, Bostock Lane, Long Eaton, Nottingham, NG10 4EP (map)
Price: Free! (non-members welcome)
Status: Went Ahead


Data Analytics Capturing, analysing, and sharing data is a major challenge for many organisations. Get it right and the data analysis can lead to insights that lead to better decisions and strategic business moves. According to Sir Berners-Lee, the inventor of the WWW, 'The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation.' Berners-Lee et al (2001). In other words, a Web that can store data that is both human and machine readable.


By visiting several research use-cases in information extraction, sentiment analysis, and recommender systems, this talk demonstrates that improving the understanding of the problem domain from the human user's perspective can in turn improve the application of the AI technologies to solve domain-specific problems. Our research advocates a Semantic approach to knowledge modelling, which captures the human understanding of the problem domain's dynamics, including its key concepts, arguments, facts, and events to create a formal semantic knowledge base that can improve the inference processes of the applied Machine Learning.

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About the Presenter

Dr Taha Osman is a principal lecturer at NTU and the manager of Postgraduate studies in the Department of Computing and Technology.

Building on a strong research track record in intelligent multi-agent systems, Dr Osman started exploring the utilisation of the semantic web technology in the intelligent composition of Web services. The application of semantic technologies in Dr Osman's research further expanded to intelligent information retrieval and knowledge management, which culminated in the collaboration with the Press Association, the UK's prime multimedia content and news provider, where Dr Osman's research team helped the company to develop a semantic-based image indexing and retrieval system that improves the accuracy and recall of PA Photos images search engine.

Based on extensive research in intelligent multi-agent systems, his research expanded to knowledge-based systems, where he developed specialist expertise in utilising Semantic Web technologies for intelligent retrieval and exploration of information. His research findings were used to develop innovative solutions for numerous problem domains including financial recommender systems and Arabic sentiment analysis and resulted in commercial R&D collaborations in the fields of digital media search engines and mineral deposits prospectivity analysis.

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