计算机应用与软件2024，Vol.41Issue(8)：84-91,8.DOI:10.3969/j.issn.1000-386x.2024.08.012
基于概率主题的物品万维网资源管理机制
WEB OF THINGS RESOURCE MANAGEMENT BASED ON PROBABILISTIC TOPIC MODEL
摘要
Abstract
Aimed at the problems of high complexity and low efficiency of existing technology for Web of Things(WoT)resources management,an intelligent WoT resources management mechanism based on probabilistic topic model is proposed.This mechanism automatically extracted topic information from the WoT resource description,used machine learning algorithms to classify the topic,and published the resources in the P2P network constructed by the WoT gateway based on the classification results.Simulation results show that this mechanism has higher management efficiency and accuracy than text-based and semantic-based methods.Distributed storage of resources based on the topic also improves the usability of the application.An example of this mechanism in the intelligent management of WoT resources was given.关键词
物品万维网/智能化资源管理/概率主题模型/资源发现/机器学习Key words
Web of Things/Intelligent resource management/Probabilistic topic model/Resource discovery/Machine learning分类
信息技术与安全科学引用本文复制引用
李养群..基于概率主题的物品万维网资源管理机制[J].计算机应用与软件,2024,41(8):84-91,8.基金项目
国家自然科学基金项目(61972211). （61972211）
