UMLS semantic propositions are the smallest units of semantic knowledge represented as triples, in which subjects and objects are concepts from the UMLS metathesaurus and predicates are semantic relations from the UMLS semantic network. The extraction process of UMLS semantic propositions involves the shallow parsing, concept mapping, predicate identification and generation of semantic proposition. This paper proposes two polymerization methods of medical information resources based on UMLS semantic propositions, which respectively regard knowledge units and linked document data as resource units. The polymerization results are respectively a knowledge network and a document network.
Guo Shaoyou
,
Li Qingsai
. Polymerization of Medical Information Resources Based on UMLS Semantic Propositions[J]. Library and Information Service, 2014
, 58(03)
: 99
-105
.
DOI: 10.13266/j.issn.0252-3116.2014.03.016
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