The rapid increase in the publication of knowledge bases as linked open data （LOD） warrants serious consideration from all concerned, as this phenomenon will potentially scale exponentially. This paper will briefly ...The rapid increase in the publication of knowledge bases as linked open data （LOD） warrants serious consideration from all concerned, as this phenomenon will potentially scale exponentially. This paper will briefly describe the evolution of the LOD, the emerging world-wide semantic web （WWSW）, and explore the scalability and performance features Of the service oriented architecture that forms the foundation of the semantic technology platform developed at MIMOS Bhd., for addressing the challenges posed by the intelligent future internet. This paper＂ concludes with a review of the current status of the agriculture linked open data.展开更多
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
Semantic web technologies have become a popular technique to apply meaning to unstructured data.They have been infrequently applied to problems within the agricultural domain when compared to complementary domains.Des...Semantic web technologies have become a popular technique to apply meaning to unstructured data.They have been infrequently applied to problems within the agricultural domain when compared to complementary domains.Despite this lack of application,agriculture has a large number of semantic resources that have been developed by large NGOs such as the Food and Agriculture Organization(FAO).This survey is intended to motivate further research in the application of semantic web technologies for agricultural problems,by making available a self contained reference that provides:a comprehensive review of preexisting semantic resources and their construction methods,data interchange standards,as well as a survey of the current applications of semantic web technologies.展开更多
The vision of the Semantic Web is to build a 'Web of data' that enables machines to understand the semantics of information on the Web.The Linked Open Data(LOD) project encourages people and organizations to p...The vision of the Semantic Web is to build a 'Web of data' that enables machines to understand the semantics of information on the Web.The Linked Open Data(LOD) project encourages people and organizations to publish various open data sets as Resource Description Framework(RDF) on the Web,which promotes the development of the Semantic Web.Among various LOD datasets,DBpedia has proved a successful structured knowledge base,and has become the central interlinking-hub of the Web of data in English.However,in the Chinese language,there is little linked data published and linked to DBpedia.This hinders the structured knowledge sharing of both Chinese and cross-lingual resources.This paper deals with an approach for building a large-scale Chinese structured knowledge base from Chinese wiki resources,including Hudong and Baidu Baike.The proposed approach first builds an ontology based on the wiki category system and infoboxes,and then extracts instances from wiki articles.Using Hudong as our source,our approach builds an ontology containing 19 542 concepts and 2381 properties.802 593 instances are extracted and described using the concepts and properties in the extracted ontology and 62 679 of them are linked to equivalent instances in DBpedia.As from Baidu Baike,our approach builds an ontology containing 299 concepts,37 object properties,and 5590 data type properties.1 319 703 instances are extracted from Baidu Baike,and 84 343 of them are linked to instances in DBpedia.We provide RDF dumps and SPARQL endpoint to access the established Chinese knowledge bases.The knowledge bases built using our approach can be used not only in Chinese linked data building,but also in many useful applications of large-scale knowledge bases,such as question-answering and semantic search.展开更多
文摘The rapid increase in the publication of knowledge bases as linked open data （LOD） warrants serious consideration from all concerned, as this phenomenon will potentially scale exponentially. This paper will briefly describe the evolution of the LOD, the emerging world-wide semantic web （WWSW）, and explore the scalability and performance features Of the service oriented architecture that forms the foundation of the semantic technology platform developed at MIMOS Bhd., for addressing the challenges posed by the intelligent future internet. This paper＂ concludes with a review of the current status of the agriculture linked open data.
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 in this review was supported by FAPESP grants number 16/15524-3,15/14228-9,and CNPq grant 302645/2015-2.The authors would also like to thank the anonymous referees for their advice and criticisms.
文摘Semantic web technologies have become a popular technique to apply meaning to unstructured data.They have been infrequently applied to problems within the agricultural domain when compared to complementary domains.Despite this lack of application,agriculture has a large number of semantic resources that have been developed by large NGOs such as the Food and Agriculture Organization(FAO).This survey is intended to motivate further research in the application of semantic web technologies for agricultural problems,by making available a self contained reference that provides:a comprehensive review of preexisting semantic resources and their construction methods,data interchange standards,as well as a survey of the current applications of semantic web technologies.
基金supported by the National Natural Science Foundation of China(Nos.661035004 and 60973102)the China Postdoctoral Science Foundation (No.20110490390)the THU-NUS Next Research Center
文摘The vision of the Semantic Web is to build a 'Web of data' that enables machines to understand the semantics of information on the Web.The Linked Open Data(LOD) project encourages people and organizations to publish various open data sets as Resource Description Framework(RDF) on the Web,which promotes the development of the Semantic Web.Among various LOD datasets,DBpedia has proved a successful structured knowledge base,and has become the central interlinking-hub of the Web of data in English.However,in the Chinese language,there is little linked data published and linked to DBpedia.This hinders the structured knowledge sharing of both Chinese and cross-lingual resources.This paper deals with an approach for building a large-scale Chinese structured knowledge base from Chinese wiki resources,including Hudong and Baidu Baike.The proposed approach first builds an ontology based on the wiki category system and infoboxes,and then extracts instances from wiki articles.Using Hudong as our source,our approach builds an ontology containing 19 542 concepts and 2381 properties.802 593 instances are extracted and described using the concepts and properties in the extracted ontology and 62 679 of them are linked to equivalent instances in DBpedia.As from Baidu Baike,our approach builds an ontology containing 299 concepts,37 object properties,and 5590 data type properties.1 319 703 instances are extracted from Baidu Baike,and 84 343 of them are linked to instances in DBpedia.We provide RDF dumps and SPARQL endpoint to access the established Chinese knowledge bases.The knowledge bases built using our approach can be used not only in Chinese linked data building,but also in many useful applications of large-scale knowledge bases,such as question-answering and semantic search.
