A further aim is to understand the mechanisms of, and the differences between, human and machine-assisted, retrieval. The aim is to examine ways of searching for documents more effectively, in order to minimise mismatches. If there is a mismatch, the problem of vocabulary mismatch occurs. The IRS makes relevance judgements by attempting to match vocabulary in queries to documents. ORCID: 0000-0003-1603-0581ĭuring a search, phrase-terms expressed in queries are presented to an information retrieval system (IRS) to find documents relevant to a topic. IVOld Mutual Chair in Information Systems (retired), University of the Western Cape, South Africa. IIIStatistical Consultant, Centre for Postgraduate Studies, Cape Peninsula University of Technology, South Africa. IISenior Lecturer/Supervisor, Faculty of Informatics and Design, Cape Peninsula University of Technology, South Africa. IDoctor of Information and Communication Technology degree from the Faculty of Informatics and Design, Cape Peninsula University of Technology, South Africa. Kyle Andrew Fitzgerald I Andre Charles de la Harpe II Corrie Susanna Uys III Andrew John Bytheway IV Information retrieval: Solving mismatching vocabulary in closed document collections
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