寻找构成传感器本体、社会物联网和社会网络交互的社会智能对象

R. Vaibhava Lakshmi, G. Deepak, A. Santhanavijayan, S. Radha
{"title":"寻找构成传感器本体、社会物联网和社会网络交互的社会智能对象","authors":"R. Vaibhava Lakshmi, G. Deepak, A. Santhanavijayan, S. Radha","doi":"10.1109/I-SMAC55078.2022.9987249","DOIUrl":null,"url":null,"abstract":"An emerging constituent of Internet of Things is the Social IoT, which aids creation of Social relationships amongst interacting objects. SIoT attempts to moderate the shortcomings of IoT in the areas of trust, resource discovery and scalability by taking a cue from social computing. In this paper, we have proposed the OntoSSSO framework for recommending Socially Similar Smart objects to users, which is knowledge-centric, ontology-driven and dataset-driven. It incorporates Semantic Intelligence. The proffered model is compared for performance along with the baseline models using sundry performance metrics. Our model outperforms the other models, yielding a precision of 95.83 %.","PeriodicalId":306129,"journal":{"name":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Search for Social Smart Objects Constituting Sensor Ontology, Social IoT and Social Network Interaction\",\"authors\":\"R. Vaibhava Lakshmi, G. Deepak, A. Santhanavijayan, S. Radha\",\"doi\":\"10.1109/I-SMAC55078.2022.9987249\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An emerging constituent of Internet of Things is the Social IoT, which aids creation of Social relationships amongst interacting objects. SIoT attempts to moderate the shortcomings of IoT in the areas of trust, resource discovery and scalability by taking a cue from social computing. In this paper, we have proposed the OntoSSSO framework for recommending Socially Similar Smart objects to users, which is knowledge-centric, ontology-driven and dataset-driven. It incorporates Semantic Intelligence. The proffered model is compared for performance along with the baseline models using sundry performance metrics. Our model outperforms the other models, yielding a precision of 95.83 %.\",\"PeriodicalId\":306129,\"journal\":{\"name\":\"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/I-SMAC55078.2022.9987249\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I-SMAC55078.2022.9987249","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

物联网的一个新兴组成部分是社会物联网,它有助于在交互对象之间创建社会关系。SIoT试图通过借鉴社交计算来弥补物联网在信任、资源发现和可扩展性方面的不足。在本文中,我们提出了以知识为中心、本体驱动和数据集驱动的OntoSSSO框架,用于向用户推荐社会相似智能对象。它结合了语义智能。将提供的模型与使用各种性能指标的基线模型进行性能比较。我们的模型优于其他模型,产生95.83%的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Search for Social Smart Objects Constituting Sensor Ontology, Social IoT and Social Network Interaction
An emerging constituent of Internet of Things is the Social IoT, which aids creation of Social relationships amongst interacting objects. SIoT attempts to moderate the shortcomings of IoT in the areas of trust, resource discovery and scalability by taking a cue from social computing. In this paper, we have proposed the OntoSSSO framework for recommending Socially Similar Smart objects to users, which is knowledge-centric, ontology-driven and dataset-driven. It incorporates Semantic Intelligence. The proffered model is compared for performance along with the baseline models using sundry performance metrics. Our model outperforms the other models, yielding a precision of 95.83 %.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Condition Monitoring of Frozen Storage for Energy Optimization Women Safety and Alertness in Instagram using Deep Learning Digital Reconstruction Analysis based on Multi-Perspective Information Integration Algorithm Android Controlled Fire Fighter Robot Using IoT Artificial Intelligence based Robotic System with Enhanced Information Technology
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1