Semantic representation and interval roughness analysis of IoT CapBAC rules

To break the bottleneck of interval roughness analysis, a rule semantic model IoTACS was proposed, and IoTRA algorithm was given.In IoTACS, a conceptual structure of the IoT CapBAC rule domain was proposed, the quantitative data properties of the basic concepts were given, then the semantic tree mod...

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Main Authors: Xiaoyan LIANG, Ruizhong DU
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2021-09-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021075/
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author Xiaoyan LIANG
Ruizhong DU
author_facet Xiaoyan LIANG
Ruizhong DU
author_sort Xiaoyan LIANG
collection DOAJ
description To break the bottleneck of interval roughness analysis, a rule semantic model IoTACS was proposed, and IoTRA algorithm was given.In IoTACS, a conceptual structure of the IoT CapBAC rule domain was proposed, the quantitative data properties of the basic concepts were given, then the semantic tree model of rule semantics was proposed, the time relations of the time ontology were extended and its quantitative logical representation was given.As the theoretical basis, it was proved that the root cause of interval inconsistency was roughness, and its logical formalization of the roughness was given.The case study shows that IoTRA can help to improve the accuracy of the authorized interval, and the IoTACS model have higher readability than the formal model.The comparison experiments with the IoTC<sup>2</sup> algorithm on the inconsistency analysis show that the response time of the IoTRA algorithm is more significantly reduced.
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institution Kabale University
issn 1000-436X
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publishDate 2021-09-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-867102bba99c441fa6031c767eb233132025-01-14T07:22:40ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2021-09-0142435359744431Semantic representation and interval roughness analysis of IoT CapBAC rulesXiaoyan LIANGRuizhong DUTo break the bottleneck of interval roughness analysis, a rule semantic model IoTACS was proposed, and IoTRA algorithm was given.In IoTACS, a conceptual structure of the IoT CapBAC rule domain was proposed, the quantitative data properties of the basic concepts were given, then the semantic tree model of rule semantics was proposed, the time relations of the time ontology were extended and its quantitative logical representation was given.As the theoretical basis, it was proved that the root cause of interval inconsistency was roughness, and its logical formalization of the roughness was given.The case study shows that IoTRA can help to improve the accuracy of the authorized interval, and the IoTACS model have higher readability than the formal model.The comparison experiments with the IoTC<sup>2</sup> algorithm on the inconsistency analysis show that the response time of the IoTRA algorithm is more significantly reduced.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021075/IoTCapBACrule semanticsroughnesssemantic Web
spellingShingle Xiaoyan LIANG
Ruizhong DU
Semantic representation and interval roughness analysis of IoT CapBAC rules
Tongxin xuebao
IoT
CapBAC
rule semantics
roughness
semantic Web
title Semantic representation and interval roughness analysis of IoT CapBAC rules
title_full Semantic representation and interval roughness analysis of IoT CapBAC rules
title_fullStr Semantic representation and interval roughness analysis of IoT CapBAC rules
title_full_unstemmed Semantic representation and interval roughness analysis of IoT CapBAC rules
title_short Semantic representation and interval roughness analysis of IoT CapBAC rules
title_sort semantic representation and interval roughness analysis of iot capbac rules
topic IoT
CapBAC
rule semantics
roughness
semantic Web
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021075/
work_keys_str_mv AT xiaoyanliang semanticrepresentationandintervalroughnessanalysisofiotcapbacrules
AT ruizhongdu semanticrepresentationandintervalroughnessanalysisofiotcapbacrules