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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 \u2013 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.<\/jats:p>","DOI":"10.1177\/01655515211022163","type":"journal-article","created":{"date-parts":[[2021,6,28]],"date-time":"2021-06-28T00:49:07Z","timestamp":1624841347000},"page":"831-852","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Context-based understanding of food-related queries using a culinary knowledge model"],"prefix":"10.1177","volume":"49","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0034-0131","authenticated-orcid":false,"given":"Usashi","family":"Chatterjee","sequence":"first","affiliation":[{"name":"School of Computer Science and Informatics, Cardiff University, 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