Output details
11 - Computer Science and Informatics
The University of West London
Knowledge Formalisation for hydrometallurgical gold ore processing
<22> In this paper we created a case-based reasoning application for recommending a pre-treatment process of gold ores. We describe an approach to formalise the necessary knowledge. First, formalising expert knowledge about gold mining situations to enable the retrieval of similar mining contexts and respective process chains, based on prospection data gathered from a potential gold mining site. We demonstrate how similarity knowledge was used to formalise literature knowledge. The evaluation of an initial prototype workflow recommender, AuricAdviser, provides promising results. This paper won the best-refereed application paper award at SG AI-2013.