期刊名称：International Journal of Web & Semantic Technology
印刷版ISSN：0976-2280
电子版ISSN：0975-9026
出版年度：2015
卷号：6
期号：3
页码：71
DOI：10.5121/ijwest.2015.6306
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Information residing in relational databases and delimited file systems are inadequate for reuse andsharing over the web. These file systems do not adhere to commonly set principles for maintaining dataharmony. Due to these reasons, the resources have been suffering from lack of uniformity, heterogeneity aswell as redundancy throughout the web. Ontologies have been widely used for solving such type ofproblems, as they help in extracting knowledge out of any information system. In this article, we focus onextracting concepts and their relations from a set of CSV files. These files are served as individual conceptsand grouped into a particular domain, called the domain ontology. Furthermore, this domain ontology isused for capturing CSV data and represented in RDF format retaining links among files or concepts.Datatype and object properties are automatically detected from header fields. This reduces the task of userinvolvement in generating mapping files. The detail analysis has been performed on Baseball tabular dataand the result shows a rich set of semantic information.
关键词：Ontology; Tabular Data; CSV; Semantic Web; RDF; Linked Data
