Litcius/Paper detail

Automatic Boolean Query Formulation for Systematic Review Literature Search

Harrisen Scells, Guido Zuccon, Bevan Koopman, Justin Clark

202046 citationsDOIOpen Access PDF

Abstract

Formulating Boolean queries for systematic review literature search is a challenging task. Commonly, queries are formulated by information specialists using the protocol specified in the review and interactions with the research team. Information specialists have in-depth experience on how to formulate queries in this domain, but may not have in-depth knowledge about the reviews’ topics. Query formulation requires a significant amount of time and effort, and is performed interactively; specialists repeatedly formulate queries, attempt to validate their results, and reformulate specific Boolean clauses. In this paper, we investigate the possibility of automatically formulating a Boolean query from the systematic review protocol. We propose a novel five-step approach to automatic query formulation, specific to Boolean queries in this domain, which approximates the process by which information specialists formulate queries. In this process, we use syntax parsing to derive the logical structure of high-level concepts in a query, automatically extract and map concepts to entities in order to perform entity expansion, and finally apply post-processing operations (such as stemming and search filters).

Topics & Concepts

Computer scienceBoolean conjunctive queryQuery languageInformation retrievalQuery expansionQuery optimizationParsingBoolean expressionWeb search queryWeb query classificationProcess (computing)Theoretical computer scienceDomain (mathematical analysis)Protocol (science)Task (project management)Data miningBoolean functionSearch engineProgramming languageAlgorithmMathematicsEconomicsManagementAlternative medicineMathematical analysisPathologyMedicineTopic ModelingSemantic Web and OntologiesBiomedical Text Mining and Ontologies