Data Mining of Description Logic Knowledge Bases
David Ratcliffe (CSIRO)
CS HDR MONITORING AI groupDATE: 2012-11-14
TIME: 12:00:00 - 12:30:00
LOCATION: RSISE Seminar Room, ground floor, building 115, cnr. North and Daley Roads, ANU
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ABSTRACT:
We are researching novel methods of data mining Description Logic knowledge bases. Our methods are being developed for direct application to knowledge and data captured with ontology-based representations such as the W3C Web Ontology Language (OWL) and Resource Description Framework (RDF) which have experienced significant uptake in the life sciences and various other biological domains in recent years. In particular, we are applying our data mining methods to experimental data from the CSIRO Collaborative Crystallisation Centre (C3) captured under the Crystallisation Data Exchange (XDX) OWL ontology to discover patterns and trends in protein crystallisation conditions. By applying our methods in this domain we aim to increase the efficiency of experimentation by aiding crystallographers in rapidly identifying promising crystallisation conditions in both per-construct/protein experimentation and potentially also identifying efficient conditions for a wide range of proteins.
