An Approach for Discovering and Maintaining Links in RDF Linked Data

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Author(s)

Fatima Ardjani 1,* Djelloul Bouchiha 2 Mimoun Malki 3

1. EEDIS Laboratory, University of Djillali Liab├Ęs, Sidi BEL-ABBES, Algeria

2. EEDIS Lab, Ctr Univ Naama, Inst. Sciences and Technologies, Dept. Mathematics and Computer Science, Algeria

3. LabRI-SBA, Higher School of Computer Science, SBA, Algeria

* Corresponding author.

DOI: https://doi.org/10.5815/ijmecs.2017.03.07

Received: 2 Oct. 2016 / Revised: 12 Nov. 2016 / Accepted: 6 Dec. 2016 / Published: 8 Mar. 2017

Index Terms

Linked Data, Link maintenance, Detection of links, Ontology alignment

Abstract

Many datasets are published on the Web using semantic Web technologies. These datasets contain data that represent links to similar resources. If these datasets are linked together by properly constructed links, users can easily query the data through a uniform interface, as if they were querying a single dataset. In this paper we propose an approach to discover (semi) automatically links between RDF data based on the description models that appear around the resources. Our approach also includes a (semi) automatic process to maintain links when a data-change occurs.

Cite This Paper

Fatima Ardjani, Djelloul Bouchiha, Mimoun Malki, "An Approach for Discovering and Maintaining Links in RDF Linked Data", International Journal of Modern Education and Computer Science(IJMECS), Vol.9, No.3, pp.56-63, 2017. DOI:10.5815/ijmecs.2017.03.07

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