Abstract
The knowledge graph is a promising method for knowledge management in the big data era. Pediatrics, as an essential branch of clinical medicine, has accumulated a large amount of medical data. This paper applies the knowledge graph technique in pediatric studies and proposes a method for Chinese pediatric medical knowledge graph (PMKG) construction. The proposed method has a conceptual layer and a data layer. At the conceptual layer we analyze the semantic characteristics of multi-source pediatrics data, formulate the annotation scheme of entity and entity relationship, and extend the traditional triplet form of knowledge graph to a sextuplet form. At the data layer, guided by the annotation scheme, information is extracted from data sources using entity recognition and relationship extraction. Manual annotation, knowledge fusion and other technologies are used to construct a pediatric knowledge graph. The PMKG contains 22,023 entities and 34,434 sextuplets.
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Song, Y., Cai, L., Zhang, K., Zan, H., Liu, T., Ren, X. (2020). Construction of Chinese Pediatric Medical Knowledge Graph. In: Wang, X., Lisi, F., Xiao, G., Botoeva, E. (eds) Semantic Technology. JIST 2019. Communications in Computer and Information Science, vol 1157. Springer, Singapore. https://doi.org/10.1007/978-981-15-3412-6_21
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DOI: https://doi.org/10.1007/978-981-15-3412-6_21
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