V. Kashyap and A. Sheth, Semantic heterogeneity in global information systems: The role of metadata, context and ontologies, Cooperative information systems: Current trends and directions, pp.139-178, 1998.

I. Boukhari, L. Bellatreche, and S. Jean, An ontological pivot model to inter-535 operate heterogeneous user requirements, International Symposium On Leveraging Applications of Formal Methods, Verification and Validation, pp.344-358, 2012.
DOI : 10.1007/978-3-642-34032-1_35

T. Berners-lee, J. Hendler, and O. Lassila, The semantic web, Scientific american, vol.284, issue.5, pp.28-37, 2001.

P. Mika, Ontologies are us: A unified model of social networks and semantics, Web semantics: science, services and agents on the World Wide Web, vol.5, pp.5-15, 2007.

T. Wächter and M. Schroeder, Semi-automated ontology generation within obo-edit, Bioinformatics, vol.26, issue.12, pp.88-96, 2010.

G. Tsatsaronis, A. Petrova, M. Kissa, Y. Ma, F. Distel et al., Learning formal definitions for biomedical concepts, 2013.

L. Bühmann, D. Fleischhacker, J. Lehmann, A. Melo, and J. Völker, 19th EKAW, pp.550-592, 2014.

J. Lehmann, S. Auer, L. Bühmann, and S. Tramp, Class expression learning for ontology engineering, Web Semantics: Science, Services and Agents on the World Wide Web, vol.9, issue.1, pp.71-81, 2011.
DOI : 10.1016/j.websem.2011.01.001

J. Völker, P. Hitzler, and P. Cimiano, Acquisition of OWL DL axioms from 555 lexical resources, pp.670-685, 2007.

R. R. De-azevedo, F. Freitas, R. Rocha, J. A. De-menezes, C. M. De-oliveira-rodrigues et al., Representing knowledge in DL ALC from text, vol.35, pp.176-185, 2014.

T. Louge, M. H. Karray, and B. Archimède, Investigating a method for auto-560 matic construction and population of ontologies for services: Performances and limitations, 2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA), pp.1-6, 2018.

L. Bühmann, J. Lehmann, P. Westphal, and S. Bin, Dl-learner structured machine learning on semantic web data, Companion Proceedings of the The, p.565

, International World Wide Web Conferences Steering Committee, vol.18, pp.467-471, 2018.

T. Kuhn, Controlled English for knowledge representation, Business Administration and Information Technol-570 ogy of the University of, 2010.

L. Corro and R. Gemulla, Clausie: clause-based open information extraction, Proceedings of the 22nd WWW, pp.355-366, 2013.

H. Bast and E. Haussmann, Open Information Extraction via Contextual Sentence Decomposition, in: 7th ICSC, pp.575-154, 2013.
DOI : 10.1109/icsc.2013.36

E. Pavlick, J. Bos, M. Nissim, C. Beller, B. V. Durme et al., Adding semantics to data-driven paraphrasing, 53rd ACL, pp.1512-1522, 2015.
DOI : 10.3115/v1/p15-1146

URL : https://doi.org/10.3115/v1/p15-1146

V. T. Nguyen, C. Sallaberry, and M. Gaio, Mesure de la similarité entre 580 termes et labels de concepts ontologiques, Conférence en recherche d'information et applications, pp.415-430, 2013.

M. Hadjieleftheriou and D. Srivastava, Weighted set-based string similarity, IEEE Data Eng. Bull, vol.33, issue.1, pp.25-36, 2010.

A. Singhal, Modern information retrieval: A brief overview, IEEE 585 Data Eng. Bull, vol.24, issue.4, pp.35-43, 2001.

C. K. Emani, C. Ferreira-da, B. Silva, P. Fiès, and . Ghodous, Improving Open Information Extraction for Semantic Web Tasks
DOI : 10.1007/978-3-662-49521-6_6

URL : https://hal.archives-ouvertes.fr/hal-01229542

C. K. Emani, C. Ferreira-da, B. Silva, P. Fiès, and . Ghodous, BEAUFORD: A 590 Benchmark for Evaluation of Formalisation of Definitions in OWL, OJSW, vol.2, issue.1, pp.3-14, 2015.