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 Cheikh Niang

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Bibliometrics: publication history
Average citations per article1.14
Citation Count8
Publication count7
Publication years2009-2017
Available for download4
Average downloads per article70.50
Downloads (cumulative)282
Downloads (12 Months)90
Downloads (6 Weeks)12
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1 published by ACM
July 2017 Journal on Computing and Cultural Heritage (JOCCH) - Special Issue on Digital Infrastructure for Cultural Heritage, Part 2: Volume 10 Issue 3, August 2017
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 10,   Downloads (12 Months): 56,   Downloads (Overall): 56

Full text available: PDFPDF
In this article, we present a semantic-based approach for dealing with the interoperability issue in the conservation-restoration domain. We first evaluate the context and our observations confirm the critical need for a data integration system taking advantage of data semantics. Our solution consists in: (1) building a domain-specific ontology, to ...
Keywords: Cultural heritage, ontology-based data integration system, mediation system, conservation-restoration, cultural objects, data integration, semantic interoperability

2 published by ACM
July 2016 IDEAS '16: Proceedings of the 20th International Database Engineering & Applications Symposium
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 15,   Downloads (Overall): 34

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In this paper, we present a semantic based approach for integrating heterogeneous data sources, and we implement our approach on the scientific domain of Cultural Heritage Conservation-Restoration. First, we evaluate the context and the current needs; the observations confirmed the critical need of a data integration system taking advantage of ...
Keywords: Conservation-restoration, Cultural Heritage, Data integration, Ontology-based data integration system

3 published by ACM
July 2014 IDEAS '14: Proceedings of the 18th International Database Engineering & Applications Symposium
Publisher: ACM
Citation Count: 2
Downloads (6 Weeks): 1,   Downloads (12 Months): 5,   Downloads (Overall): 44

Full text available: PDFPDF
We present the whole querying process of our ontology-based data integration proposal, that we call Semantic Mediator . The global schema (a TBox) is composed of the source schemas (also Tboxes) and a taxonomy, which links the sources to each other. The querying process is based on the global-schema's structure ...
Keywords: distributed query answering, semantic data integration

4 published by ACM
December 2011 iiWAS '11: Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
Publisher: ACM
Citation Count: 2
Downloads (6 Weeks): 1,   Downloads (12 Months): 14,   Downloads (Overall): 148

Full text available: PDFPDF
Data integration involves combining data residing in different sources and providing users with a unified view of these data through what is called a "global schema". We address here the problem of automatic construction of this global schema in the semantic Web context, where data sources are annotated with ontologies. ...
Keywords: global ontology, semantic web, data integration, domain reference ontology

September 2011 ADBIS'11: Proceedings of the 15th international conference on Advances in databases and information systems
Publisher: Springer-Verlag
Citation Count: 2

Our objective is to automatically build a global ontology from several data sources, annotated with local ontologies and aiming to share their data in a specific application domain. The originality of our proposal lies in the use of a background knowledge, i.e. a reference ontology, as a mediation support for ...
Keywords: data integration, descripion logic, background knowledge

November 2010 OM'10: Proceedings of the 5th International Conference on Ontology Matching - Volume 689
Citation Count: 0

May 2009 International Journal of Metadata, Semantics and Ontologies: Volume 4 Issue 1/2, May 2009
Publisher: Inderscience Publishers
Citation Count: 2

We present a data integration approach to enable multi-agency partners to share their agricultural data sources. We perform the integration in three phases. First, a structural integration phase, based on the use of XML documents warehouses (called dataweb), allows to create a warehouse for each partner. A second step consists ...
Keywords: mediation, information sharing, ontology reuse, semantic dataweb, XML, agricultural data integration, agricultural ontology, agriculture, data retrieval

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