@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}
}
@article {7042325720111201,
	title = {ONTOLOGY EVOLUTION MANAGEMENT FOR SEMANTIC WEB SERVICES COOPERATION.},
	journal = {International Journal of Electronic Business Management},
	volume = {9},
	number = {4},
	year = {2011},
	pages = {310 - 321},
	abstract = {Interconnecting services is a complex task. A part of the complexity comes from the need to have a common, shared view of the information, ontology. Thus, there is a need for approaches that help to overcome the differences between service ontologies, and to manage the possible future evolution of the ontologies. The approach proposed in this paper provides a support for cooperation between services. Our proposition is useful for service architectures that evolve and grow in size constantly. The number of services increases and even services are changing to offer new alternatives. The aim is to provide a flexible way to partially automate the processing of ontology and related mapping evolution management. A case study in Telecom service cooperation illustrates the benefits of our approach. We apply our algorithm and implementation prototype p2OEManager to Message Billing Service ontology and Internet Billing Service ontology and particularly, we use our ontology agent model and proto},
	keywords = {Information \& communication technologies, Information technology, Internet industry, Internetworking (Telecommunication), Multi-agent System, Ontology, Ontology Evolution, Semantic integration (Computer systems), Semantic Service, Web services},
	issn = {17282047},
	url = {http://search.ebscohost.com/login.aspx?direct=true\&db=bth\&AN=70423257\&site=ehost-live},
	author = {Slimani, Soumaya and Benslimane, Djamal and Baina, Salah and Baina, Karim}
}
@conference { ISI:000392778800068,
	title = {AN ONTOLOGY CHANGE MANAGEMENT SYSTEM An Experiment on a Health Care Case Study},
	booktitle = {KEOD 2010: Proceedings of the International Conference on Knowledge Engineering and Ontology Development},
	year = {2010},
	note = {International Conference on Knowledge Engineering and Ontology Development (KEOD 2010), Valencia, SPAIN, OCT 25-28, 2010},
	pages = {449-452},
	publisher = {Inst Syst \& Technol Informat Control \& Commun},
	organization = {Inst Syst \& Technol Informat Control \& Commun},
	abstract = {Numerous ontologies have been developed for life science domains. These ontologies are continuously changing. Thus, it is becoming profitable to study and to manage these ontologies change in order to keep all dependent ontologies and their related mappings consistent. The aim of this paper is to propose an agent based approach enabling not only ontology and ontology mapping evolution analysis but also to manage their changes. An experiment in health care illustrates the benefits of our approach. We apply our algorithm, and implementation prototype p(2)OEManager to eye specialist ontology (ESO) and primary health care ontology (PCO), and particularly, we use our ontology agent model, and prototype to manage some significant changes in the ESO ontology.},
	isbn = {978-989-8425-29-4},
	author = {Slimani, Soumaya and Baina, Karim and Baina, Salah and Henkel, Martin and Perjons, Erik},
	editor = {Filipe, J and Dietz, JLG}
}
