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Researh On Interactive Visualization System Of Dynamic Ontology

Posted on:2022-06-02Degree:MasterType:Thesis
Country:ChinaCandidate:W MuFull Text:PDF
GTID:2518306572959789Subject:Computer technology
Abstract/Summary:PDF Full Text Request
In recent years,with Internet developing rapidly and cloud computing technology revolutionizing,we have gradually moved from the information age to the intelligent age,and the Internet has become the most sourced information collection platform.The knowledge graph breaks the limitations of traditional data storage media and integrates entities and relationships into multiple sources heterogeneous data from the Internet in a structured way,forming a unified semantic network structure.Among the basic skills of data collection,transmission,exploration and analysis,one of the most needed is to discover the hidden relationships in multiple sources,multiple variables and streaming data.Knowledge of not standardized in certain domain plays a role of blocking the sharing of ontology and knowledge base.Consider of the subjectivity of dynamic ontology and the variability of knowledge,knowledge needs to express the dynamic characteristics of domain ontology,establish dynamic ontology,and cooperate with ontology and knowledge base.In this article,we established a dynamic ontology in the field based on task scenarios and described a case with dynamic process information operations.In addition,this paper focuses on the realization of relationship browsing and interactive visualization of dynamic ontology.Based on the knowledge graph,the data model is integrated with the knowledge extraction of natural language processing in the process of data processing,and a set of dynamic ontology required for relationship analysis is proposed.Data modeling methods include objects,associations between objects,object attributes,and spatial structure of objects.A dynamic ontology visual analysis system co-constructed by man and machine is realized,which includes design and data collection,modeling and visualization.Finally,this article demonstrates the effectiveness of the system through examples.
Keywords/Search Tags:relationship expression, knowledge extraction, dynamic ontology, knowledge graph, visual analysis
PDF Full Text Request
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