Purpose:To develop a set of metrics and identify criteria for assessing the functionality of LOD KOS products while providing common guiding principles that can be used by LOD KOS producers and users to maximize the f...Purpose:To develop a set of metrics and identify criteria for assessing the functionality of LOD KOS products while providing common guiding principles that can be used by LOD KOS producers and users to maximize the functions and usages of LOD KOS products.Design/methodology/approach:Data collection and analysis were conducted at three time periods in 2015–16,2017 and 2019.The sample data used in the comprehensive data analysis comprises all datasets tagged as types of KOS in the Datahub and extracted through their respective SPARQL endpoints.A comparative study of the LOD KOS collected from terminology services Linked Open Vocabularies(LOV)and BioPortal was also performed.Findings:The study proposes a set of Functional,Impactful and Transformable(FIT)metrics for LOD KOS as value vocabularies.The FAIR principles,with additional recommendations,are presented for LOD KOS as open data.Research limitations:The metrics need to be further tested and aligned with the best practices and international standards of both open data and various types of KOS.Practical implications:Assessment performed with FAIR and FIT metrics support the creation and delivery of user-friendly,discoverable and interoperable LOD KOS datasets which can be used for innovative applications,act as a knowledge base,become a foundation of semantic analysis and entity extractions and enhance research in science and the humanities.Originality/value:Our research provides best practice guidelines for LOD KOS as value vocabularies.展开更多
In this paper,the author proposed a linked data-oriented framework for resource descnption and organization in semantic digital libraries,which includes four layers—metadata layer,ontology layer,linked data layer and...In this paper,the author proposed a linked data-oriented framework for resource descnption and organization in semantic digital libraries,which includes four layers—metadata layer,ontology layer,linked data layer and application layer.The core of the framework is the construction and linking of RDF-based semantic metadata.Using the data from the domain of 'Library,Information & Archival Science' as an example,the author focused on the ontology layer and linked data layer to implement the framework,which involves the design of related ontologies,automatic transformation of traditional metadata into semantic metadata,construction of RDF semantic links among different datasets,and publishing of linked data etc.展开更多
基金College of Communication and Information(CCI)Research and Creative Activity Fund,Kent State University
文摘Purpose:To develop a set of metrics and identify criteria for assessing the functionality of LOD KOS products while providing common guiding principles that can be used by LOD KOS producers and users to maximize the functions and usages of LOD KOS products.Design/methodology/approach:Data collection and analysis were conducted at three time periods in 2015–16,2017 and 2019.The sample data used in the comprehensive data analysis comprises all datasets tagged as types of KOS in the Datahub and extracted through their respective SPARQL endpoints.A comparative study of the LOD KOS collected from terminology services Linked Open Vocabularies(LOV)and BioPortal was also performed.Findings:The study proposes a set of Functional,Impactful and Transformable(FIT)metrics for LOD KOS as value vocabularies.The FAIR principles,with additional recommendations,are presented for LOD KOS as open data.Research limitations:The metrics need to be further tested and aligned with the best practices and international standards of both open data and various types of KOS.Practical implications:Assessment performed with FAIR and FIT metrics support the creation and delivery of user-friendly,discoverable and interoperable LOD KOS datasets which can be used for innovative applications,act as a knowledge base,become a foundation of semantic analysis and entity extractions and enhance research in science and the humanities.Originality/value:Our research provides best practice guidelines for LOD KOS as value vocabularies.
基金the research achievements of National Social Science Funding Project"Research on the Construction and Application of SOA-based Terminology Registry and Terminology Services"(approval number:11BT0023)the Ministry of Education Social Science Foundation Supported Project"Research on Semantic Digital Libraries of Linked Data"(approval number:10YJA870014)
文摘In this paper,the author proposed a linked data-oriented framework for resource descnption and organization in semantic digital libraries,which includes four layers—metadata layer,ontology layer,linked data layer and application layer.The core of the framework is the construction and linking of RDF-based semantic metadata.Using the data from the domain of 'Library,Information & Archival Science' as an example,the author focused on the ontology layer and linked data layer to implement the framework,which involves the design of related ontologies,automatic transformation of traditional metadata into semantic metadata,construction of RDF semantic links among different datasets,and publishing of linked data etc.
