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Construction of recipe knowledge graph based on user knowledge demands.

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Titel: Construction of recipe knowledge graph based on user knowledge demands.
Autoren: Cui, Jingfeng1 (AUTHOR), Zhang, Xiuchen1 (AUTHOR), Zheng, Dejun1 (AUTHOR) zdejun@njau.edu.cn
Quelle: Journal of Information Science. Aug2025, Vol. 51 Issue 4, p881-895. 15p.
Schlagwörter: *DATA mining, ONTOLOGY, INFORMATION needs, EDIBLE plants, COOKBOOKS
Abstract: Building a recipe knowledge graph from the perspective of user knowledge demands can provide users with accurate and efficient retrieval results and recipes. Relatively a few ontology studies have been conducted on Chinese recipes. In addition, some existing recipe ontology models are relatively rough, with few dimensions, and others have too many dimensions, that is, they lack versatility and cannot achieve efficient recipe recommendation and query functions. Therefore, this article proposes a general recipe ontology based on user knowledge demands analysed from multi-source recipes. Then, this article selects recipes for common edible flowers with health benefits, an ontology model and constructs a knowledge graph of flower recipes via knowledge extraction, knowledge fusion and other techniques. Finally, the application of constructed flower recipe knowledge graph is discussed, and the results indicated that it can effectively feedback the query results and satisfy the knowledge demands of users. [ABSTRACT FROM AUTHOR]
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Datenbank: Business Source Index
Beschreibung
Abstract:Building a recipe knowledge graph from the perspective of user knowledge demands can provide users with accurate and efficient retrieval results and recipes. Relatively a few ontology studies have been conducted on Chinese recipes. In addition, some existing recipe ontology models are relatively rough, with few dimensions, and others have too many dimensions, that is, they lack versatility and cannot achieve efficient recipe recommendation and query functions. Therefore, this article proposes a general recipe ontology based on user knowledge demands analysed from multi-source recipes. Then, this article selects recipes for common edible flowers with health benefits, an ontology model and constructs a knowledge graph of flower recipes via knowledge extraction, knowledge fusion and other techniques. Finally, the application of constructed flower recipe knowledge graph is discussed, and the results indicated that it can effectively feedback the query results and satisfy the knowledge demands of users. [ABSTRACT FROM AUTHOR]
ISSN:01655515
DOI:10.1177/01655515221151139