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.

饮食习惯受人种学方面的综合影响，例如社会、文化和环境因素。在分析与食品相关的查询时需要考虑这些方面。查询通常是不明确的。为了更好的搜索和检索，理解、分析和优化查询是必不可少的。这项工作的重点是识别查询的显式、隐式和隐藏方面，同时考虑上下文 - 烹饪领域。本文提出了一种基于领域特定知识模型的查询理解、分析和细化技术。通过将查询词映射到模型中定义的概念来概念化查询。这允许理解查询的语义观点和确定其术语的含义及其相互关联性的能力。