Zang, Jingfan and Russell-Rose, Tony. 2023. 'A Prototype “Debugger” for Search Strategies'. In: ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR ’23). Austin, Texas, United States 19 - 23 March 2023. [Conference or Workshop Item]

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Abstract or Description

Knowledge workers such as healthcare information professionals, legal researchers, and librarians need to create and execute search strategies that are effective, efficient and error-free. The traditional solution is to use command-line query builders offered by proprietary database vendors. However, these are based on an archaic approach that offers limited support for the validation and optimisation of their output. Consequently, there are often errors in search strategies reported in the literature that prevent them from being effectively reused or extended. In this paper, we demonstrate a new approach that takes inspiration from software development practice and applies it to the challenge of search strategy formulation. We demonstrate a prototype ‘debugger’ which provides insight into the construction and semantics of search strategies, allowing users to inspect, understand and validate their behaviour and effects. This has the potential to eliminate many sources of error and offers new ways to validate, optimise and re-use search strategies and best practices.

Item Type:	Conference or Workshop Item (Paper)
Identification Number (DOI):	https://doi.org/10.1145/3576840.3578321
Additional Information:	"© 2023 Copyright held by the owner/author(s). This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record is available at, https://doi.org/10.1145/3576840.3578321."
Keywords:	systematic searching, search strategies, query formulation, visualisation, debugging, optimisation
Departments, Centres and Research Units:	Computing
Dates:	Date Event 20 March 2023 Published
Event Location:	Austin, Texas, United States
Date range:	19 - 23 March 2023
Item ID:	33422
Date Deposited:	28 Apr 2023 10:28
Last Modified:	29 Apr 2023 01:32
URI:	https://research.gold.ac.uk/id/eprint/33422

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