@conference { ISI:000373729000021,
	title = {Ontology Learning from Relational Database: How to Label the Relationships Between Concepts?},
	booktitle = {BEYOND DATABASES, ARCHITECTURES AND STRUCTURES, BDAS 2015},
	series = {Communications in Computer and Information Science},
	volume = {521},
	year = {2015},
	note = {11th International Conference on Beyond Databases, Architectures and Structures (BDAS), Ustron, POLAND, MAY 26-29, 2015},
	pages = {235-244},
	publisher = {IEEE Poland Sect; Silesian Univ Technol, Inst Informat},
	organization = {IEEE Poland Sect; Silesian Univ Technol, Inst Informat},
	abstract = {Developing ontology for modeling the universe of a Relational Database (RDB) is a key success for many RDB related domains, including semantic-query of RDB, Linked Data and semantic interoperability of information systems. However, the manual development of ontology is a tedious task, error-prone and requires much time. The research field of ontology learning aims to provide (semi-) automatic approaches for building ontology. However, one big challenge in the automatic transformation, is how to label the relationships between concepts. This challenge depends heavily on the correct extraction of the relationship types. In fact, the RDB model does not store the meaning of relationships between entities, it only indicates the existence of a link between them. This paper suggests a solution consisting of a meta-model for the semantic enrichment of the RDB model and of a classification of relationships. A case study shows the effectiveness of our approach.},
	isbn = {978-3-319-18422-7; 978-3-319-18421-0},
	issn = {1865-0929},
	doi = {10.1007/978-3-319-18422-7\_21},
	author = {El Idrissi, Bouchra and Baina, Salah and Baina, Karim},
	editor = {Kozielski, S and Mrozek, D and Kasprowski, P and MalysiakMrozek, B and Kostrzewa, D}
}
@conference { ISI:000350287800030,
	title = {Ontology Learning from Data Models: Advance and the Requirement for a Database Preparation and Enrichment Process},
	booktitle = {2013 3RD INTERNATIONAL SYMPOSIUM ISKO-MAGHREB},
	year = {2013},
	note = {ISKO-Maghreb 3rd International Symposium, Marrakech, MOROCCO, NOV 08-09, 2013},
	publisher = {ISKO},
	organization = {ISKO},
	abstract = {Ontology learning field provides automatic and semi-automatic approaches for ontology generation. This process aims to overcome the manual knowledge acquisition process that is difficult, expensive and time-consuming. Several approaches have been emerged for this purpose. However, they are not practical on real-world databases and they are far from capturing all application semantics. This paper gives, first, an overview of the ontology learning process and the peculiarities of relational models. Then, it discusses the advance in this filed according to a developed framework before presenting two main lacks: the requirement of a database preparation process and an enrichment process.},
	isbn = {978-1-4799-3392-1},
	author = {El Idrissi, Bouchra and Baina, Salah and Baina, Karim}
}
