domOS: an 'Operating System' for Smart Buildings

Autor: Junior Dongo, Dominique Gabioud, Amir Laadhar, Martin Meyer, Brian Nielsen, Frédéric Revaz, Christian Thomsen

Smart energy services deployed in buildings have the potential to increase their energy efficiency and to turn them into active nodes of energy grids, with limited costs and in the short term. Today, smart services are deployed by manufacturers of en

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74ae9541afceb9df6045ea1bc945af3c

Results of the Ontology Alignment Evaluation Initiative 2021

Autor: Mina Abd Nikooie Pour, Alsayed Algergawy, Florence Amardeilh, Reihaneh Amini, Omaima Fallatah, Daniel Faria, Irini Fundulaki, Ian Harrow, Sven Hertling, Pascal Hitzler, Martin Huschka, Liliana Ibanescu, Ernesto Jiḿenez-Ruiz, Naouel Karam, Amir LAADHAR, Patrick Lambrix, Huanyu Li, Ying Li, Franck Michel, Engy Nasr, Heiko Paulheim, Catia Pesquita, Jan Portisch, Catherine Roussey, Tzanina Saveta, Pavel Shvaiko, Andrea Splendiani, Ćassia Trojahn, Jana Vatǎšcinova, Beyza Yaman, Onďrej Zamaza, Lu Zhou

Publikováno v: Pour, M A N, Algergawy, A, Amardeilh, F, Amini, R, Fallatah, O, Faria, D, Fundulaki, I, Harrow, I, Hertling, S, Hitzler, P, Huschka, M, Ibanescu, L, Jiḿenez-Ruiz, E, Karam, N, Laadhar, A, Lambrix, P, Li, H, Li, Y, Michel, F, Nasr, E, Paulheim, H, Pesquita, C, Portisch, J, Roussey, C, Saveta, T, Shvaiko, P, Splendiani, A, Trojahn, Ć, Vatǎšcinova, J, Yaman, B, Zamaza, O & Zhou, L 2021, ' Results of the Ontology Alignment Evaluation Initiative 2021 ', CEUR Workshop Proceedings, vol. 3063, pp. 62-108 .
Aalborg University

The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching systems on precisely defined test cases. These test cases can be based on ontologies of different levels of complexity and use different evaluation modalities (e.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6b29ee70159f931a1053cb1253ce3188
https://vbn.aau.dk/da/publications/df1d1091-fb98-4155-914e-c4b36905c687

The Impact of Imbalanced Training Data on Local Matching Learning of Ontologies

Autor: Franck Ravat, Faiza Ghozzi, Amir Laadhar, Faiez Gargouri, Olivier Teste, Imen Megdiche

Publikováno v: Business Information Systems ISBN: 9783030204846
BIS (1)
Proceedings of BIS 2019
22nd International Conference on Business Information Systems (BIS 2019)
22nd International Conference on Business Information Systems (BIS 2019), Jun 2019, Seville, Spain. pp.162-175
HAL

International audience; Matching learning corresponds to the combination of ontology matching and machine learning techniques. This strategy has gained increasing attention in recent years. However, state-of-the-art approaches implementing matching l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9bbc43e2e840224d83f2c0817782aa1
https://doi.org/10.1007/978-3-030-20485-3_13

POMap: An Effective Pairwise Ontology Matching System

Autor: Imen Megdiche, Faiez Gargouri, Franck Ravat, Olivier Teste, Faiza Ghozzi, Amir Laadhar

Publikováno v: HAL
Olivier Teste
Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management-Volume 2: KEOD
IC3K 2017 : 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
IC3K 2017 : 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Nov 2017, Funchal, Portugal. pp.161-168
Scopus-Elsevier
KEOD

International audience; The identification of alignments between heterogeneous ontologies is one of the main research issues in the semantic web. The manual matching of the ontologies is a complex, time consuming and an error prone task. Therefore, o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::454fd53b16af8199dc61772212c8459c
https://oatao.univ-toulouse.fr/22110/

OAEI 2018 results of POMap++

Autor: Amir Laadhar, Faiza Ghozzi, Imen Megdiche Bousarsar, Franck Ravat, Olivier Teste, Faiez Gargouri

Publikováno v: Scopus-Elsevier
HAL
Proceedings of the 13th International Workshop on Ontology Matching co-located with the 17th International Semantic Web Conference
13th International Workshop on Ontology Matching co-located with the 17th International Semantic Web Conference (OM@ISWC 2018)
13th International Workshop on Ontology Matching co-located with the 17th International Semantic Web Conference (OM@ISWC 2018), Oct 2018, Monterey, CA, United States. pp.192-196
Olivier Teste

International audience; Ontology matching is the process of finding a set of corre-spondences between the entities of two or more ontologies representing asimilar domain. POMap++ is an ontology matching system associatingontology partitioning to the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::50118d44356e6d577769a976e0fa840b
http://www.scopus.com/inward/record.url?eid=2-s2.0-85059917074&partnerID=MN8TOARS