Context-based understanding of food-related queries using a culinary knowledge model

Chatterjee, Usashi 2021. Context-based understanding of food-related queries using a culinary knowledge model. Journal of Information Science 49 (3) , pp. 831-852. 10.1177/01655515211022163

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Abstract

Dietary practices are governed by a mix of ethnographic aspects, such as social, cultural and environmental factors. These aspects need to be taken into consideration during an analysis of food-related queries. Queries are usually ambiguous. It is essential to understand, analyse and refine the queries for better search and retrieval. The work is focused on identifying the explicit, implicit and hidden facets of a query, taking into consideration the context – culinary domain. This article proposes a technique for query understanding, analysis and refinement based on a domain specific knowledge model. Queries are conceptualised by mapping the query term to concepts defined in the model. This allows an understanding of the semantic point of view of a query and an ability to determine the meaning of its terms and their interrelatedness. The knowledge model acts as a backbone providing the context for query understanding, analysis and refinement and outperforms other models, such as Schema.org, BBC Food Ontology and Recipe Ontology.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	SAGE Publications
ISSN:	0165-5515
Date of First Compliant Deposit:	24 July 2023
Date of Acceptance:	14 May 2021
Last Modified:	20 Nov 2023 02:55
URI:	https://orca.cardiff.ac.uk/id/eprint/161197

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