Affiliation:
1. College of Information Management, Nanjing Agricultural University, China; Institute of High Performance Computing, A*STAR, Singapore
2. College of Information Management, Nanjing Agricultural University, China
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.
Funder
national social science fund of china
Subject
Library and Information Sciences,Information Systems
Cited by
3 articles.
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