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  • 标题:DATA INTEGRATION SYSTEM FOR RDF DATA SOURCES
  • 本地全文:下载
  • 作者:YASSINE LAADIDI ; MOHAMMED BAHAJ
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2016
  • 卷号:83
  • 期号:2
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Decision-making systems aim to transform the data stream circulating through the organization to relevant information and knowledge published in the form of dashboards and reports. The Semantic Web (SW) is full of data sources serialized in various formats and extensions (e.g. RDF, OWL, XML, etc) and they are created from scratch or by the transformation of other existing sources (e.g. relational database), and so it became one of the most major data sources that can be used to fulfill the analysis� needs in a decision-making system. The OWL 2 ontology language as a W3C recommendation is built on the RDF data model and used to provide the means for defining and creating structured web ontologies. The purpose of this paper is to propose a new architectural system to perform a data integration process to populate an existing data warehouse using linked data (i.e. data from semantic web) as sources.
  • 关键词:Data Integration; ETL; OWL; RDF; Semantic Web; Ontology; Decision-making System; Data Warehouse; Data Sources; Linked Data
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