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dc.contributor.authorShokraneh, Farhad
dc.date.accessioned2019-04-24T15:26:13Z
dc.date.available2019-04-24T15:26:13Z
dc.date.issued2019
dc.identifier.citationRussell-Rose, T., Chamberlain, J. & Shokraneh, F. (2019). A visual approach to query formulation for systematic search. In: Azzopardi, L., Halvey, M. & Ruthven, I., (Eds.) CHIIR '19 Conference on Human Information Interaction and Retrieval, 10-14 March 2019 Glasgow, Scotland. New York: Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, p.379-383.en
dc.identifier.isbn9781450360258
dc.identifier.other10.1145/3295750.3298919
dc.identifier.urihttp://hdl.handle.net/20.500.12904/10811
dc.description.abstractKnowledge workers (such as healthcare information professionals, patent agents and legal researchers) need to create and execute search strategies that are accurate, repeatable and transparent. The traditional solution offered by most database vendors is to use proprietary line-by-line 'query builders'. However, these offer limited support for error checking or query optimisation, and their output can often be compromised by errors and inefficiencies. Using the healthcare domain for context, we demonstrate a new approach to search strategy formulation in which concepts are expressed as objects on a two-dimensional canvas, and relationships are articulated using direct manipulation. This approach eliminates many sources of syntactic error, makes the query semantics more transparent, and offers new ways to optimise, save and share search strategies and best practices. © 2019 Copyright held by the owner/author(s).en
dc.description.urihttps://dl.acm.org/citation.cfm?doid=3295750.3298919en
dc.subjectInformation storage and retrievalen
dc.subjectInformation servicesen
dc.subjectLinguisticsen
dc.titleA visual approach to query formulation for systematic searchen
dc.typeConference Proceeding


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