Metadata as a Methodological Commons:From Aboutness Description to Cognitive Modeling  

作　　者：Wei Liu Yaming Fu Qianqian Liu 

机构地区：[1]Shanghai Library(Institute of Scientific and Technical Information of Shanghai),No.1555 Huaihai Middle Road Xuhui District,Shanghai 200031,China [2]School of Information Management at Nanjing University,No.163 Xianlin Avenue,Nanjing,Jiangsu 210093,China

出　　处：《Data Intelligence》2023年第1期289-302,共14页数据智能（英文）

基　　金：supported by the National Social Science Foundation(Grant/Award Number:21&ZD334)。

摘　　要：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.

关 键 词：METADATA Methodological Commons Content Architecture Data Modeling Ontology Semantic Web Semantic Formalization WEB3.0 Metaverse 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] TP18[自动化与计算机技术—计算机科学与技术]