Djelloul Bouchiha

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



Research Interests: Computational Science and Engineering, Computational Engineering, Engineering


Djelloul Bouchiha received his Engineer degree in computer science from Sidi Bel Abbes University, Algeria, in 2002, and M. Sc. in computer science from Sidi Bel Abbes University, Algeria, in 2005, and Ph. D. in 2011. Between 2005 and 2010, he joined the Department of Computer Science, Saida University, Algeria, as a Lecturer. He became an Assistant Professor since January 2011. Currently, he is an Associate Professor at the University Center of Naama. His research interests include semantic Web services, Web reverse-engineering, ontology engineering, knowledge management and information systems.

Author Articles
An Approach for Discovering and Maintaining Links in RDF Linked Data

By Fatima Ardjani Djelloul Bouchiha Mimoun Malki

DOI:, Pub. Date: 8 Mar. 2017

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.

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Conservativity Principle Violations for Ontology Alignment: Survey and Trends

By Yahia Atig Ahmed Zahaf Djelloul Bouchiha

DOI:, Pub. Date: 8 Jul. 2016

Ontology matching techniques are a solution to overcome the problem of interoperability between ontologies. However, the generated mappings suffer from logical defects that influence their usefulness. In this paper we present a detailed analysis of the problem so-called conservativity principle; alignment between ontologies should never generate new knowledge compared to those generated by reasoning solely on ontologies. We also study the sub-problems; Ontology change and Satisfiability preservation problems and compare the related works and their way to detect and repair conservativity principle. At the end we present a set of open research issues.

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Ontology-Alignment Techniques: Survey and Analysis

By Fatima Ardjani Djelloul Bouchiha Mimoun Malki

DOI:, Pub. Date: 8 Nov. 2015

The ontology alignment consists in generating a set of correspondences between entities. These entities can be concepts, properties or instances. The ontology alignment is an important task because it allows the joint consideration of resources described by different ontologies. This paper aims at counting all works of the ontology alignment field and analyzing the approaches according to different techniques (terminological, structural, extensional and semantic). This can clear the way and help researchers to choose the appropriate solution to their issue. They can see the insufficiency, so that they can propose new approaches for stronger alignment. They can also adapt or reuse alignment techniques for specific research issues, such as semantic annotation, maintenance of links between entities, etc.

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