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The Design And Implementation Of Linked-mindmap On Mobile Terminals

Posted on:2019-03-16Degree:MasterType:Thesis
Country:ChinaCandidate:N X ZhangFull Text:PDF
GTID:2428330572452215Subject:Circuits and Systems
Abstract/Summary:PDF Full Text Request
The year of 2017 is called the "year of knowledge".The development of the knowledge industry has led to a great improvement in the people's acceptance on fragmented learning and the popularization of the whole industry.This situation is inseparable with the development of smart phones and high-speed mobile Internet.To integrate the fragmented knowledge into a coherent personal knowledge base,we need a tool that can record,aggregate,and share these relatively independent knowledge on mobile devices.As a tool for structured knowledge recording and idea conveying,mind-map has been widely used in education system and various domains in modern society.In mind-map,any entity or concept can be a root of a record,and new layers of the corresponding knowledge can branch out from the root.With constantly spanning and extension,a structured representation on such topic can be formed.However,manually generated mind-maps are often in independent tree structures that are centered around isolated keywords,which is not suitable for connecting knowledge into network structure in practice.In view of the mind-map and knowledge graph has very similar structural characteristics,this paper studies the related concepts of knowledge graph as well as the related technologies of knowledge fusion and knowledge retrieval,and then we propose a method based on ontology property and ontology interrelation for mind-map correlation.This method firstly extracts mind-map keywords using Chinese words segmentation technology.Based on keyword matching scores,we compute the correlation between target nodes and candidate nodes.The final correlation results are obtained by optimizing correlations according to the global structure of mind-maps.We tested on mind-maps collected from the Internet.Results shows that our automatic correlation method produces comparable results to human labelled mind-maps.Based on the proposed method,this paper analyzes the advantages and the disadvantages of existing mobile application models.We designed and implemented a mindmap recording APP on WeChat mini-program platform.The APP can automatically correlate the nodes of the different mind-maps,and thus facilitate users to organize personal knowledge base.Further,this APP is designed for cross-platform deployment with easy WeChat account association and minimal work for installation.
Keywords/Search Tags:personal knowledge base, mind-map, knowledge graph, knowledge fusion
PDF Full Text Request
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