![]() ![]() This anecdotal evidence indicates a problem that is shared by many, as our personal as well as institutional collections become larger and more challenging to manage. Over his career, the doctor's collection had grown substantially, covering many research disciplines, and he bewailed the difficulty in finding documents relevant to his needs. The conversation quickly focused on the problem of searching large, closed collections of research papers. ![]() Keywords: Information retrieval, hybrid indexing method, precision, recall, research, vocabulary mismatchĭuring mid-2019 one of the authors of this research visited the British Library in London and had an engaging conversation with a doctor - a general practitioner with an interest in medical research. IRS-H solves the problem of mismatching vocabulary between a query and a document. IRS-H and the participant aided by search software judgments did agree. ![]() IRS-H and the four participants' judgements disagreed. Statistical analysis was performed using the Kappa coefficient. A collection of eighty research documents and sixty-five phrase-terms were presented to (i) IRS-H and four participants in Test 1, and (ii) IRS-H and one participant (aided by search software) in Test 2. The objective of this study was to determine whether IRS-H (an IRS using the hybrid indexing method) and human participants agree or disagree on relevancy judgments, and whether the problem of mismatching vocabulary can be solved. 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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