Methods of Composing Hierarchical Knowledge Graphs of Telecommunication Network

R. Yoshinov, I. Kulikov, N. Zhukova
{"title":"Methods of Composing Hierarchical Knowledge Graphs of Telecommunication Network","authors":"R. Yoshinov, I. Kulikov, N. Zhukova","doi":"10.7546/pecr.72.20.07","DOIUrl":null,"url":null,"abstract":"The article is devoted to the issue of developing and analyzing methods of composing hierarchical knowledge graphs of telecommunication networks with a view to representing network data. The article substantiates the timeliness of discussing this issue and describes the classes of problems that can be solved using hierarchical graph models. It discusses the structure of particular hierarchical graph models, their layers, and how it is possible to connect these models layer by layer and create a single hierarchical graph model. It also discusses data formats and approaches to adding dynamic data that are applicable to the resulting hierarchical knowledge graph. It studies the advantages of the hierarchical knowledge graph over one-level analogs. To explain the advantages of using a hierarchical knowledge graph, an example of modeling such a knowledge graph for a cable TV operator’s network is given and compared with a one-level knowledge graph using a specific problem encountered by the operator. It is shown that it is much less difficult to execute queries of the same kind using a hierarchical graph. At the end of the article, conclusions are made and directions for future research are discussed.","PeriodicalId":177075,"journal":{"name":"PROBLEMS OF ENGINEERING CYBERNETICS AND ROBOTICS","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PROBLEMS OF ENGINEERING CYBERNETICS AND ROBOTICS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7546/pecr.72.20.07","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The article is devoted to the issue of developing and analyzing methods of composing hierarchical knowledge graphs of telecommunication networks with a view to representing network data. The article substantiates the timeliness of discussing this issue and describes the classes of problems that can be solved using hierarchical graph models. It discusses the structure of particular hierarchical graph models, their layers, and how it is possible to connect these models layer by layer and create a single hierarchical graph model. It also discusses data formats and approaches to adding dynamic data that are applicable to the resulting hierarchical knowledge graph. It studies the advantages of the hierarchical knowledge graph over one-level analogs. To explain the advantages of using a hierarchical knowledge graph, an example of modeling such a knowledge graph for a cable TV operator’s network is given and compared with a one-level knowledge graph using a specific problem encountered by the operator. It is shown that it is much less difficult to execute queries of the same kind using a hierarchical graph. At the end of the article, conclusions are made and directions for future research are discussed.
电信网络层次知识图的构成方法
本文研究了以表示网络数据为目的的电信网络层次知识图的构成方法的开发和分析问题。本文论证了讨论这一问题的时效性,并描述了可以使用分层图模型解决的问题类别。它讨论了特定层次图模型的结构、它们的层,以及如何将这些模型逐层连接并创建单个层次图模型。它还讨论了数据格式和添加动态数据的方法,这些数据适用于生成的层次知识图。研究了层次知识图相对于一级类似物的优势。为了说明使用层次知识图的优点,给出了有线电视运营商网络知识图建模的一个例子,并利用运营商遇到的具体问题与单层知识图进行了比较。结果表明,使用分层图执行同类查询的难度要小得多。文章最后对全文进行了总结,并对今后的研究方向进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信