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A visual approach to query formulation for systematic search

Russell-Rose, Tony; Chamberlain, Jon; Shokraneh, Farhad


Tony Russell-Rose

Jon Chamberlain

Farhad Shokraneh


Knowledge 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.


Russell-Rose, T., Chamberlain, J., & Shokraneh, F. (2019). A visual approach to query formulation for systematic search.

Conference Name ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIR'19)
Conference Location Glasgow, Scotland, UK
Start Date Mar 10, 2019
End Date Mar 14, 2019
Acceptance Date Nov 30, 2018
Online Publication Date Mar 8, 2019
Publication Date Mar 8, 2019
Deposit Date Dec 3, 2018
Publicly Available Date Dec 5, 2018
Publisher Association for Computing Machinery (ACM)
Pages 379-383
ISBN 978-1-4503-6025-8
Public URL
Publisher URL


A Visual Approach To Query Formulation For Systematic Search (<nobr>641 Kb</nobr>)

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