@article {Yousfi20203,
	title = {Towards a Holistic Schema Matching Approach Designed for Large-Scale Schemas},
	journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {12496 LNAI},
	year = {2020},
	note = {cited By 0},
	pages = {3-15},
	abstract = {Holistic schema matching is a fundamental challenge in the big data integration domain. Ideally, clusters of semantically corresponding elements are created and are updated as more schemas are matched. Developing a high-quality holistic schema matching approach is critical for two main reasons. First, identifying as many accurate and holistic semantic correspondences as possible right from the beginning. Second, reducing considerably the search space. Nevertheless, this problem is challenging since overlapping schema elements are not available. Identifying schema overlaps is further complicated for two main reasons: (1) there is a large number of schemas; and (2) overlaps vary for different schemas. In this paper we present HMO, a Holistic schema Matching approach based on schema Overlaps and designed for large-scale schemas. HMO can balance the search space and the quality of the holistic semantic correspondences. To narrow down the search space, HMO matches schemas based on their overlaps. To obtain high-accuracy, HMO uses an existing high-quality semantic similarity measure. Experimental results on four real-world domains show effectiveness and scalability of our matching approach. {\textcopyright} 2020, Springer Nature Switzerland AG.},
	keywords = {Artificial intelligence, Data integration, High quality, High-accuracy, Holistic schema matching, Real world domain, Search spaces, Semantic correspondence, Semantic similarity measures, Semantics},
	doi = {10.1007/978-3-030-63007-2_1},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097530171\&doi=10.1007\%2f978-3-030-63007-2_1\&partnerID=40\&md5=aed75e2b584acebebdce7bf0dc2cc076},
	author = {Yousfi, A. and Yazidi, M.H.E. and Zellou, A.}
}
@conference {Anter2016,
	title = {Towards a generic model of a user profile},
	booktitle = {SITA 2016 - 11th International Conference on Intelligent Systems: Theories and Applications},
	year = {2016},
	note = {cited By 0},
	abstract = {User modelling is an old research discipline. The main concern of this discipline is to improve the quality of human-computer interaction predictive goals, preferences and context. Thus, adaptation and personalization of a document or an application for a particular user need to have information on the latter. It often referred to as {\textquoteright}user profile{\textquoteright}. A user profile modelling process must be done in two stages. These can be expressed by two questions: (1) {\textquoteright}what data?{\textquoteright} and (2) {\textquoteright}In what form will they be organized?{\textquoteright} The answer to the first question will determine all relevant information that best represents the interests and needs of the user. As for the second, it will determine the logical structure in which a profile will be modelled. This paper aims to provide answers to both questions. To do this, we begin with a presentation of different areas where the user profile can make a major contribution. In the second step, we define all the information to be included in the user profile as well as a generic model that we can adapt to different areas. {\textcopyright} 2016 IEEE.},
	doi = {10.1109/SITA.2016.7772265},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010301085\&doi=10.1109\%2fSITA.2016.7772265\&partnerID=40\&md5=2f2efa11599627d6b4c5ad967869851f},
	author = {Anter, S. and Yazidi, M.H.E. and Zellou, A. and Idri, A.}
}
@conference {Yazidi2012,
	title = {Towards a fuzzy mapping for mediation systems},
	booktitle = {Proceedings of 2012 International Conference on Complex Systems, ICCS 2012},
	year = {2012},
	note = {cited By 0},
	doi = {10.1109/ICoCS.2012.6458573},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84874494252\&doi=10.1109\%2fICoCS.2012.6458573\&partnerID=40\&md5=f777377bdfd9a344347799d38e97941d},
	author = {Yazidi, M.H.E. and Zellou, A. and Idri, A.}
}
