{"title":"JTOWL: JSON到OWL的转换","authors":"Y. Yao, R. Wu, Hui Liu","doi":"10.1145/2663792.2663801","DOIUrl":null,"url":null,"abstract":"JSON is a popular web data interchange format in Internet, especially for Social Network applications. To process these current JSON data sets using Semantic Web technologies, we should firstly convert them into well-defined semantic description languages, such as OWL. In this paper, we propose a method, which can automatically convert related JSON data sets into OWL ontology. This method can extend data semantics using semantic reasoning and combine multiple related resources into a unique ontology. The constructed semantic data contains concepts, properties, constrains and values which are implied in JSON object. We develop the method as a JSON to OWL convertor JTOWL that can process web data resources and create semantic data effectively.","PeriodicalId":289794,"journal":{"name":"Web-KR '14","volume":"104 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"JTOWL: A JSON to OWL Converto\",\"authors\":\"Y. Yao, R. Wu, Hui Liu\",\"doi\":\"10.1145/2663792.2663801\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"JSON is a popular web data interchange format in Internet, especially for Social Network applications. To process these current JSON data sets using Semantic Web technologies, we should firstly convert them into well-defined semantic description languages, such as OWL. In this paper, we propose a method, which can automatically convert related JSON data sets into OWL ontology. This method can extend data semantics using semantic reasoning and combine multiple related resources into a unique ontology. The constructed semantic data contains concepts, properties, constrains and values which are implied in JSON object. We develop the method as a JSON to OWL convertor JTOWL that can process web data resources and create semantic data effectively.\",\"PeriodicalId\":289794,\"journal\":{\"name\":\"Web-KR '14\",\"volume\":\"104 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Web-KR '14\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2663792.2663801\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Web-KR '14","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2663792.2663801","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
JSON is a popular web data interchange format in Internet, especially for Social Network applications. To process these current JSON data sets using Semantic Web technologies, we should firstly convert them into well-defined semantic description languages, such as OWL. In this paper, we propose a method, which can automatically convert related JSON data sets into OWL ontology. This method can extend data semantics using semantic reasoning and combine multiple related resources into a unique ontology. The constructed semantic data contains concepts, properties, constrains and values which are implied in JSON object. We develop the method as a JSON to OWL convertor JTOWL that can process web data resources and create semantic data effectively.