[Purpose/significance] The theory of knowledge element model is used to study the optimization path of the knowledge service effect of government Website, and the visual representation technology is helpful to reduce the operating load and the cognitive load of the information processing of the government users under the big data environment.[Method/process] According to the related knowledge element model, the six-tuple knowledge element representation method and the knowledge element ontology four tuple structures are deduced, which conforms to the characteristics of the information resources of the government Website. The TextRank and HDP algorithms are used to extract the key words and the subject words of the government Website information resources, and the domain experts determine the knowledge according to the extraction results. A visual representation model of government Website information resources knowledge element is constructed, which includes knowledge element ontology database generation and visual knowledge service.[Result/conclusion] The shared bicycle as an example issued by the government Website tests the effectiveness and feasibility of the visual representation model of knowledge element, and it provides a new research idea for the transition from government Website document's coarse-grained service to the knowledge element as a unit of fine-grained service, also with the help of visual knowledge services, the structured navigation of government information and the effect of user interpretation of domain text semantics are enhanced.
Wang Ping
,
Wang Meiyue
,
Wang Yicheng
,
Huang Xinping
. Study on Knowledge Element Model and Visual Representation of Government Website Information Resources[J]. Library and Information Service, 2018
, 62(23)
: 14
-21
.
DOI: 10.13266/j.issn.0252-3116.2018.23.002
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