Recent rapid advancements in communication technology have brought forth the era of Web 3.0,representing a substantial transformation in the Internet landscape.This shift has led to the emergence of various decentrali...Recent rapid advancements in communication technology have brought forth the era of Web 3.0,representing a substantial transformation in the Internet landscape.This shift has led to the emergence of various decentralized metaverse applications that leverage blockchain as their underlying technology to enable users to exchange value directly from point to point.However,blockchains are blind to the real world,and smart contracts cannot directly access data from the external world.To address this limitation,the technology of oracles has been introduced to provide real-world data for smart contracts and other blockchain applications.In this paper,we focus on mitigating the risks associated with oracles providing corrupt or incorrect data.We propose a novel Web 3.0 architecture for the Metaverse based on the multiidentifier network(MIN),and its decentralized blockchain oracle model called Meta Oracle.The experimental results show that the proposed scheme can achieve minor time investment in return for significantly more reliable data and increased throughput.展开更多
Metadata is data about data,which is generated mainly for resources organization and description,facilitating finding,identifying,selecting and obtaining information.With the advancement of technologies,the acquisitio...Metadata is data about data,which is generated mainly for resources organization and description,facilitating finding,identifying,selecting and obtaining information.With the advancement of technologies,the acquisition of metadata has gradually become a critical step in data modeling and function operation,which leads to the formation of its methodological commons.A series of general operations has been developed to achieve structured description,semantic encoding and machine-understandable information,including entity definition,relation description,object analysis,attribute extraction,ontology modeling,data cleaning,disambiguation,alignment,mapping,relating,enriching,importing,exporting,service implementation,registry and discovery,monitoring etc.Those operations are not only necessary elements in semantic technologies(including linked data)and knowledge graph technology,but has also developed into the common operation and primary strategy in building independent and knowledge-based information systems.In this paper,a series of metadata-related methods are collectively referred to as'metadata methodological commons',which has a lot of best practices reflected in the various standard specifications of the Semantic Web.In the future construction of a multi-modal metaverse based on Web 3.0,it shall play an important role,for example,in building digital twins through adopting knowledge models,or supporting the modeling of the entire virtual world,etc.Manual-based description and coding obviously cannot adapted to the UGC(User Generated Contents)and AIGC(AI Generated Contents)-based content production in the metaverse era.The automatic processing of semantic formalization must be considered as a sure way to adapt metadata methodological commons to meet the future needs of Al era.展开更多
基金supported by Shenzhen Fundamental Research Programs under Grant Nos.JCYJ20220531093206015,GXWD20201231165807007-20200807164903001,JCYJ20210324122013036,and JCYJ20190808155607340Guang Dong Prov.R&D Key Programs under Grant Nos.2019B010137001 and 2018B010124001+4 种基金Basic Research Enhancement Program of China under Grant No.2021-JCJQ-JJ-0483National Keystone R&D Program of China under Grant No.2017YFB0803204Natural Science Foundation of China under Grant No.61671001ZTE Industry-University-Institute Fund Project under Grant No.2019ZTE03-01HuaWei Funding under Grant No.TC20201222002。
文摘Recent rapid advancements in communication technology have brought forth the era of Web 3.0,representing a substantial transformation in the Internet landscape.This shift has led to the emergence of various decentralized metaverse applications that leverage blockchain as their underlying technology to enable users to exchange value directly from point to point.However,blockchains are blind to the real world,and smart contracts cannot directly access data from the external world.To address this limitation,the technology of oracles has been introduced to provide real-world data for smart contracts and other blockchain applications.In this paper,we focus on mitigating the risks associated with oracles providing corrupt or incorrect data.We propose a novel Web 3.0 architecture for the Metaverse based on the multiidentifier network(MIN),and its decentralized blockchain oracle model called Meta Oracle.The experimental results show that the proposed scheme can achieve minor time investment in return for significantly more reliable data and increased throughput.
基金supported by the National Social Science Foundation(Grant/Award Number:21&ZD334)。
文摘Metadata is data about data,which is generated mainly for resources organization and description,facilitating finding,identifying,selecting and obtaining information.With the advancement of technologies,the acquisition of metadata has gradually become a critical step in data modeling and function operation,which leads to the formation of its methodological commons.A series of general operations has been developed to achieve structured description,semantic encoding and machine-understandable information,including entity definition,relation description,object analysis,attribute extraction,ontology modeling,data cleaning,disambiguation,alignment,mapping,relating,enriching,importing,exporting,service implementation,registry and discovery,monitoring etc.Those operations are not only necessary elements in semantic technologies(including linked data)and knowledge graph technology,but has also developed into the common operation and primary strategy in building independent and knowledge-based information systems.In this paper,a series of metadata-related methods are collectively referred to as'metadata methodological commons',which has a lot of best practices reflected in the various standard specifications of the Semantic Web.In the future construction of a multi-modal metaverse based on Web 3.0,it shall play an important role,for example,in building digital twins through adopting knowledge models,or supporting the modeling of the entire virtual world,etc.Manual-based description and coding obviously cannot adapted to the UGC(User Generated Contents)and AIGC(AI Generated Contents)-based content production in the metaverse era.The automatic processing of semantic formalization must be considered as a sure way to adapt metadata methodological commons to meet the future needs of Al era.
