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The FAIR Data Point:Interfaces and Tooling
《Data Intelligence》2023年第1期184-201,共18页Oussama Mohammed Benhamed Kees Burger Rajaram Kaliyaperumal Luiz Olavo Bonino da Silva Santos Marek Suchánek Jan Slifka Mark D.Wilkinsoni 
supported by Czech Technical University in Prague grant No.SGS20/209/OHK3/3T/18.LOBSS,RK and KB are partially funded by funding from the Horizon2020 projects FAIRsFAIR grant No.831558.
While the FAIR Principles do not specify a technical solution for'FAIRness',it was clear from the outset of the FAIR initiative that it would be useful to have commodity software and tooling that would simplify the cr...
关键词：FAIR Data Linked data Semantic Web METADATA User interfaces TOOLING Semantic query 
Metadata as a Methodological Commons:From Aboutness Description to Cognitive Modeling
《Data Intelligence》2023年第1期289-302,共14页Wei Liu Yaming Fu Qianqian Liu 
supported by the National Social Science Foundation(Grant/Award Number:21&ZD334)。
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...
关键词：METADATA Methodological Commons Content Architecture Data Modeling Ontology Semantic Web Semantic Formalization WEB3.0 Metaverse 
The Computer Science Ontology:A Comprehensive Automatically-Generated Taxonomy of Research Areas被引量：2
《Data Intelligence》2020年第3期379-416,共38页Angelo A.Salatino Thiviyan Thanapalasingam Andrea Mannocci Aliaksandr Birukou Francesco Osborne Enrico Motta 
Ontologies of research areas are important tools for characterizing,exploring,and analyzing the research landscape.Some fields of research are comprehensively described by large-scale taxonomies,e.g.,MeSH in Biology a...
关键词：Scholarly data Ontology learning Bibliographic data Scholarly ontologies Semantic Web 
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