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Research On The Resource Association Aggregation Of Pearl Buck Studies Resource Model

Posted on:2021-07-21Degree:MasterType:Thesis
Country:ChinaCandidate:X H CuiFull Text:PDF
GTID:2518306227497454Subject:Library and file management
Abstract/Summary:PDF Full Text Request
In the process of comprehensively promoting the construction of China's data power and digital China,technologies such as the Internet and the Internet of Things have been applied to all sectors of society,causing changes in the mode of information resource collection,analysis,organization and application,and driving multiple subjects to carry out multi-level analysis and application of information resources from multiple perspectives and dimensions.In this context,many scholars pay more and more attention to the reasonable transformation and correlation of various resources distributed in different systems in the field of humanities research,and hope to build a one-stop resource query and research assistance platform on this basis.Taking Pearl Buck's research resources as an example,this paper aims to build a digital resource association aggregation model,explore the organization and management of research resources in the field of literature,and build a multi-source and multi-type integrated resource organization model.By inductive current buck study species and distribution of resources,resource demand characteristics of the current investigation buck research scholars,selected different kinds of pearl research resources,through the topic map resource organization mode,using social network analysis and weighted analysis and clustering analysis and other research method to explore the semantic content of buck's research resources and thematic structure,build the buck research resources link aggregation model based on topic maps.Specifically,this paper constructs the pearl Buck research resource association aggregation model by using the three elements of the topic graph: topic,resource and association.When first theme polymerization,analyzes the resource properties and weight of keywords in the analysis of common words in influence and role,through quantitative and qualitative methods to get resources and the weight of keywords,constructing resources based on keywords and attribute comprehensive empowerment word matrix,using keywords to the distance between resources from the viewpoint of subject aggregation relationships;Secondly,in order to verify the model aggregation effect and validity,selected buck research resources for example,from therelationships between people,between people and resources,resources and associated resource aggregation effect analysis has been done for the three aspects,compared with related websites advantage analysis,discusses the applicability of the model,based on user feedback suggestion to the follow-up perfect pearl research resources link aggregation model are proposed,and also for other cultural area in building research resource model are proposed.The main research contents and achievements of this paper include :(1)Summarize the scope of pearl buck's research resources,solve the problem of lack of semantic description of pearl buck's research resources,and have certain promotion value in the aspects of characteristic collection resources,semantic description and semantic annotation of network resources in the same field;(2)A weighted co-word model based on resource attributes and keyword importance is proposed to make the correlation and aggregation between topics more scientific;(3)Analyze and construct the pearl Buck research resource association aggregation framework based on the theme graph,which can be used to guide the storage and improvement of research resources in the humanities field,and guide the realization of the aggregation and service of multiple resources based on the theme graph;(4)Suggestions are made for the follow-up research of the domain research resource model based on the topic graph.
Keywords/Search Tags:Pearl Buck, Topic Map, Resource Association, Resource Aggregation, Co-word Analysis
PDF Full Text Request
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