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.
The paper titled “Semantic Information Integration with Linked Data Mashups Approaches” [1], published in International Journal of Distributed Sensor Networks, has been retracted as it was accepted for publication on the basis of peer review reports that were submitted from fraudulent reviewer accounts.
In late 2014, a number of publishers discovered widespread abuse of the peer review process, including cases of identity theft and faked review reports. In July 2015, Hindawi concluded an extensive investigation into peer review fraud and identified a number of articles that had been accepted on the basis of fraudulent peer review reports.
In accordance with the guidelines of the Committee on Publication Ethics (COPE), this article has been retracted on the basis that fraudulent review reports were submitted by one of the article's co-authors, Jason Jung.