[Purpose/significance] The semi-automatic construction method for the adverse drug reaction ontology is proposed. The constructed fine-grained ADR ontology provides a semantic resource library for exploiting potential ADR signals by using social media. [Method/process] Firstly, based on the design concept that separates the business level and language level, this paper expressed the adverse drug reaction discussed in the network health community in the form of "object-attribute-description". The fine granularity is reflected in the diversity of describing the same adverse drug reaction. Then, based on the idea of deep learning, the word2vec-based description concept candidate word extraction algorithm is used to automatically extract more description concept to construct ontology. [Result/conclusion] The modeling example shows that the fine-grained ADR ontology construction scheme proposed in this paper can improve the efficiency and intelligence level of ontology construction. At the same time, the constructed fine-grained drug adverse reaction ontology provides a semantic resource library for exploiting potential ADR signals by using social media.
Wei Wei
,
Fu Weigang
. Semi-automatic Construction Method of Fine-grained ADR Ontology for Social Media[J]. Library and Information Service, 2019
, 63(3)
: 108
-114
.
DOI: 10.13266/j.issn.0252-3116.2019.03.014
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