Simon Price

Intelligent Systems Research Student

Intelligent Systems Laboratory, University of Bristol,
MVB, Woodland Road, Bristol BS8 1UB, UK

Tel: +44-117-33-14310 (ILRT)
Fax: +44-117-954-5208
Email: Simon.Price@bristol.ac.uk

Research Interests

• e-Research and e-Science
• Structured data integration
• Semantic Web

Research

• Part-time postgraduate research student (since 2003)
• Thesis title: Semantic Integration of Heterogeneous Data
• PhD Advisor: Professor Peter Flach

Publications

Publications from my PhD research are listed below. Various others are listed in the Computer Science department publications database here and even more in the ILRT publications database here.

• Simon Price, Peter Flach, Sebastian Spiegler, Christopher Bailey, Nikki Rogers, SubSift web services and workflows for profiling and comparing scientists and their published works. Sixth IEEE International Conference on e-Science (e-Science 2010), Brisbane, Australia. ISBN 9780769542904, pp. 182–189. December 2010. (PDF, Bibtex, DOI).
• Simon Price, Peter A. Flach, Sebastian Spiegler, SubSift: a novel application of the vector space model to support the academic peer review process. Workshop on Applications of Pattern Analysis (WAPA 2010), Windsor, UK. ISSN 19387228, pp. 20–27. September 2010. (PDF, Bibtex).
• Peter Flach, Sebastian Spiegler, Bruno Golenia, Simon Price, John Guiver, Ralf Herbrich, Thore Graepel, Mohammed J. Zaki, Novel Tools To Streamline the Conference Review Process: Experiences from SIGKDD'09. ACM SIGKDD Explorations, 11(2). ISSN 19310145, pp. 62–67. December 2009. (PDF, Bibtex).
• Covington, MA, Bagnara, R, O'Keefe, RA, Wielemaker, J, Price, S, Coding Guidelines for Prolog. Theory and Practice of Logic Programming (revised submission). ISSN 1471-0684. November 2010. (PDF, Bibtex, arXiv).
• Price, S. and Flach, P., Querying and merging heterogeneous data by approximate joins on higher-order terms. Proceedings 18th International Conference on Inductive Logic Programming (ILP-2008), Prague, Czech Republic, pp.226-243, September 2008, LNCS/LNAI. Springer-Verlag, 2008. (PDF, Bibtex, DOI)
• Price, S.N., A Review of the State of the Art of Machine Learning on the Semantic Web: Technical Report CSTR-05-003, Department of Computer Science, University of Bristol, October 2004. (PDF, Bibtex)
• Price, S.N., A Review of the State of the Art of Machine Learning on the Semantic Web, Proceedings of 2003 UK Workshop on Computational Intelligence, pp.292-299, September 2003. (PDF, Bibtex)

Current Activities

Projects

• Exabyte Informatics
• ExaMiner: mining and mapping the University's research landscape
• SubSift: matching submitted papers to potential peer reviewers

Teaching

Occassional teaching related activities include: supervision of projects, preparation and marking of assignments.

• Artificial Intelligence and Logic Programming (undergraduate/MSc)
• Introduction to Machine Learning (MEng/MSc)
• Advanced Topics in Machine Learning and Data Mining (MSc)
• Advanced Computing MSc in Machine Learning and Data Mining

Peer Review

Reviewed paper submissions for the following books, journals, conferences and workshops:

• International Journal on Semantic Web and Information Systems (IJSWIS)
• Book - Logical and Relational Learning: From ILP to MRDM, De Raedt, Luc, 2008, Springer
• ICDM 2007 - IEEE International Conference on Data Mining
• ICML 2007 - International Conference on Machine Learning
• ICDM 2006 - IEEE International Conference on Data Mining
• MLG 2006 - Mining and Learning with Graphs workshop at ECML PKDD
• Fundamenta Informaticae Vol. 66 (2005) Special issue on Advances in Mining Graphs, Trees and Sequences
• IDA 2005 - International Symposium on Intelligent Data Analysis

ILRT Web Futures

I am a Senior Technical Researcher in the Web Futures R&D group at the Institute for Learning and Research Technology (ILRT) where I work on:

• e-Research projects, most recently SubSift.
• Semantic Web and Web 2.0 projects, most recently Visualising China and STARS.
• SaaS Web applications, such as Bristol Online Surveys.
• e-Learning applications, such as Virtual Training Suite and WinEcon.