Venue: Thompson Board Room
IEE
Savoy Place
London
(Nearest Tube: Embankment and Waterloo)
Time: 6.30 - 7.30
Guest Speaker: Dr. S. Muggleton (Oxford University Computing Lab) Title: Knowledge Discovery in Databases
Chair: Ilesh Dattani (Safety Systems Research Center, Bristol)
Dr. S. Muggleton received his BSc in Computer Science at the University of Edinburgh in 1982. His PhD research, on the topic ``Inductive Acquisition of Expert Knowledge'' was carried out at Edinburgh University under the supervision of Prof. Michie. Dr. Muggleton was awarded his PhD. in 1986 During the period 1986-1990 Dr. Muggleton was a Turing Institute Research Fellow. In 1990 he was awarded a SERC Postdoctoral Fellowship and in 1993 an Advanced EPSRC Reseach Fellowship. Dr. Muggleton was awarded an Honorary MA from Oxford in 1993. He has also been Fujitsu Associate Professor at the University of Tokyo and Director of Academic Research at the Turing Institute, Glasgow.
Dr. Muggleton is presently an EPSRC Advanced Research Fellow at the Oxford University Computing Laboratory. In 1993 he was elected a Research Fellow at Wolfson College, Oxford and a Member of Congregation of the University of Oxford.
ABSTRACT: Inductive Logic Programming (ILP) is now a well established field aimed at the inductive construction of logic programs from data. Unlike other machine learning techniques, the emphasis in ILP is on the use of logically encoded background knowledge to provide easily comprehended theories expressed in the language of the domain expert. When applied to chemical and biological databases this combination has led to a number of discoveries which have been refereed and published in top scientific journals. Additionally, when applied to natural language corpora, ILP has yielded high-accuracy parsers, with over 1000 lines of Prolog code generated in under 4 hours of computation. In both cases ILP acts as an assistant to experts who provide relevant background knowledge. Fundamental advances in the technology of ILP have been developed on the basis of logic, probability and complexity theory. This lecture will review applications of ILP together with some of the key theoretical advances of the last few years.
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