Behshid Behkamal, E. Bagheri, M. Kahani, Majid Sazvar
{"title":"数据准确性:LOD意味着什么?","authors":"Behshid Behkamal, E. Bagheri, M. Kahani, Majid Sazvar","doi":"10.1109/ICCKE.2014.6993457","DOIUrl":null,"url":null,"abstract":"Linked Open Data provides a distributed model for the semantic web to create knowledge by publishing public available data and meaningfully interlinking dispersed data sources. It is undeniable that the realization of this goal depends strongly on the quality of the published data. Since, data quality is a multi-dimensional concept which is defined by a number of quality factors, in order to study data quality in depth; it is necessary to study each quality factor separately as well as the properties of its environment. The main objective of this work is to propose a set of metrics that enable the assessment of the accuracy of data sets from both semantic and syntactic accuracy viewpoints.","PeriodicalId":152540,"journal":{"name":"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Data accuracy: What does it mean to LOD?\",\"authors\":\"Behshid Behkamal, E. Bagheri, M. Kahani, Majid Sazvar\",\"doi\":\"10.1109/ICCKE.2014.6993457\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Linked Open Data provides a distributed model for the semantic web to create knowledge by publishing public available data and meaningfully interlinking dispersed data sources. It is undeniable that the realization of this goal depends strongly on the quality of the published data. Since, data quality is a multi-dimensional concept which is defined by a number of quality factors, in order to study data quality in depth; it is necessary to study each quality factor separately as well as the properties of its environment. The main objective of this work is to propose a set of metrics that enable the assessment of the accuracy of data sets from both semantic and syntactic accuracy viewpoints.\",\"PeriodicalId\":152540,\"journal\":{\"name\":\"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCKE.2014.6993457\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCKE.2014.6993457","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Linked Open Data provides a distributed model for the semantic web to create knowledge by publishing public available data and meaningfully interlinking dispersed data sources. It is undeniable that the realization of this goal depends strongly on the quality of the published data. Since, data quality is a multi-dimensional concept which is defined by a number of quality factors, in order to study data quality in depth; it is necessary to study each quality factor separately as well as the properties of its environment. The main objective of this work is to propose a set of metrics that enable the assessment of the accuracy of data sets from both semantic and syntactic accuracy viewpoints.