Semantic Information Integration with Linked Data Mashups Approaches

Title
Semantic Information Integration with Linked Data Mashups Approaches
Author(s)
정재은Hanh Huu Hoang[Hanh Huu Hoang]Tai Nguyen-Phuoc Cung[Tai Nguyen-Phuoc Cung]Duy Khanh Truong[Duy Khanh Truong]황도삼
Keywords
DOMAIN; APIS; WEB
Issue Date
201404
Publisher
HINDAWI PUBLISHING CORPORATION
Citation
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
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.
URI
http://hdl.handle.net/YU.REPOSITORY/32504http://dx.doi.org/10.1155/2014/813875
ISSN
1550-1329
Appears in Collections:
공과대학 > 컴퓨터공학과 > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE