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Technical Keynote Lecture
Prof Robert Stevens (Manchester University)
What’s in a title? Drawing on the world of AI
AbstractTitles of biology research articles are a rich source of facts about the outcomes of investigations. These can form the basis of a useful, semantically rich knowledge base to afford a computationally amenable form of biological knowledge. In this talk, I will use this work to explore how machine learning (ML) may benefit from knowledge representation and symbolic artificial intelligence (AI) to help make the vast resource of what we know about biology more accessible.Ontologies have played a significant role in enabling scientists to create a common semantics for what is known about biology and exploit those semantics to query, organise and analyse biological data. the impact of machine learning on the world of biology is also manifest and the advent of foundational and large language models on how we undertake text analytics, knowledge engineering and other activities will be a game changer. The analytical power of ML, together with explicit semantics about what we know, will be a powerful combination. In exploring how we can exploit the titles of research articles I will seek to show that artificial intelligence is greater than the sum of its parts Robert Stevens is a Professor of Computer Science in the department of Computer Science at The University of Manchester. The main focus of his research is is the building and use of description logic based ontologies in the bio-health domain. To this he brings a background in biochemistry, human computer interaction and collaborations with bio-health practicioners. He has championed the use of the Web ONTOLOGY Language (OWL) and reasoning to the building and use of ontologies. More recently he has explored the use of text analytics to support ontology development. He is the author of more than 300 academic publications and and is an author of the well-known "Pizza tutorial" for OWL.
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