随着语义万维网(sematic Web)和关联数据集项目(linked data project)的不断发展,各领域的语义数据正在大规模扩增.同时,这些大规模语义数据之间存在着复杂的语义关联性,这些关联信息的挖掘对于研究者来说有着重要的意义.为解决传统推...随着语义万维网(sematic Web)和关联数据集项目(linked data project)的不断发展,各领域的语义数据正在大规模扩增.同时,这些大规模语义数据之间存在着复杂的语义关联性,这些关联信息的挖掘对于研究者来说有着重要的意义.为解决传统推理引擎在进行大规模语义数据推理时存在的计算性能和可扩展性不足等问题,提出了一种基于Hadoop的语义大数据分布式推理框架,并且设计了相应的基于属性链(property chain)的原型推理系统来高效地发现海量语义数据中潜在的有价值的信息.实验主要关注于医疗和生命科学领域各本体之间的语义关联发现,实验结果表明,该推理系统取得了良好的性能———扩展性以及准确性.展开更多
Semantic Communication(SC)has emerged as a novel communication paradigm that provides a receiver with meaningful information extracted from the source to maximize information transmission throughput in wireless networ...Semantic Communication(SC)has emerged as a novel communication paradigm that provides a receiver with meaningful information extracted from the source to maximize information transmission throughput in wireless networks,beyond the theoretical capacity limit.Despite the extensive research on SC,there is a lack of comprehensive survey on technologies,solutions,applications,and challenges for SC.In this article,the development of SC is first reviewed and its characteristics,architecture,and advantages are summarized.Next,key technologies such as semantic extraction,semantic encoding,and semantic segmentation are discussed and their corresponding solutions in terms of efficiency,robustness,adaptability,and reliability are summarized.Applications of SC to UAV communication,remote image sensing and fusion,intelligent transportation,and healthcare are also presented and their strategies are summarized.Finally,some challenges and future research directions are presented to provide guidance for further research of SC.展开更多
文摘随着语义万维网(sematic Web)和关联数据集项目(linked data project)的不断发展,各领域的语义数据正在大规模扩增.同时,这些大规模语义数据之间存在着复杂的语义关联性,这些关联信息的挖掘对于研究者来说有着重要的意义.为解决传统推理引擎在进行大规模语义数据推理时存在的计算性能和可扩展性不足等问题,提出了一种基于Hadoop的语义大数据分布式推理框架,并且设计了相应的基于属性链(property chain)的原型推理系统来高效地发现海量语义数据中潜在的有价值的信息.实验主要关注于医疗和生命科学领域各本体之间的语义关联发现,实验结果表明,该推理系统取得了良好的性能———扩展性以及准确性.
基金supported by the Natural Science Foundation of China under Grants 61971084,62025105,62001073,62272075the National Natural Science Foundation of Chongqing under Grants cstc2021ycjh-bgzxm0039,cstc2021jcyj-msxmX0031+1 种基金the Science and Technology Research Program for Chongqing Municipal Education Commission KJZD-M202200601the Support Program for Overseas Students to Return to China for Entrepreneurship and Innovation under Grants cx2021003,cx2021053.
文摘Semantic Communication(SC)has emerged as a novel communication paradigm that provides a receiver with meaningful information extracted from the source to maximize information transmission throughput in wireless networks,beyond the theoretical capacity limit.Despite the extensive research on SC,there is a lack of comprehensive survey on technologies,solutions,applications,and challenges for SC.In this article,the development of SC is first reviewed and its characteristics,architecture,and advantages are summarized.Next,key technologies such as semantic extraction,semantic encoding,and semantic segmentation are discussed and their corresponding solutions in terms of efficiency,robustness,adaptability,and reliability are summarized.Applications of SC to UAV communication,remote image sensing and fusion,intelligent transportation,and healthcare are also presented and their strategies are summarized.Finally,some challenges and future research directions are presented to provide guidance for further research of SC.
