Retracted: Semantic Information Integration with Linked Data Mashups Approaches

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ID: 43707
2014
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Abstract
The introduction of semantic web and Linked Data helps facilitate sharing of data on the Internet more easily. Subsequently, the resource description framework (RDF) is the standard in publishing structured data resources on the Internet and is used in interconnecting with other data resources. To remedy the data integration issues of the traditional web mashups, the semantic web technology uses the Linked Data based on RDF data model as the unified data model for combining, aggregating, and transforming data from heterogeneous data resources to build Linked Data mashups. There have been tremendous amounts of efforts of semantic web community to enable Linked Data mashups but there is still lack of a systematic survey on concepts, technologies, applications, and challenges. Therefore, in this paper, we investigate in detail semantic mashups research and application approaches in the information integration. This paper also presents a Linked Data mashup application as an illustration of the proposed approaches.
Reference Key
hoang2014retractedinternational Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Hoang, Hanh Huu;Cung, Tai Nguyen-Phuoc;Truong, Duy Khanh;Hwang, Dosam;Jung, Jason J.;
Journal international journal of distributed sensor networks
Year 2014
DOI
DOI not found
URL
https://doi.org/10.1155/2014/813875
Keywords
Education Medicine (General) Information technology Medical technology special aspects of education electronic computers. computer science nuclear and particle physics. atomic energy. radioactivity

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