Zobrazeno 1 - 10 of 14 pro vyhledávání: '"Laadhar, Amir"'
4
domOS Common Ontology: Web of Things Discovery in Smart Buildings
Autor: Laadhar, Amir, Thomsen, Christian, Pedersen, Torben Bach
According to the 2021 energy efficiency report of the European Union (EU), 75% of the existing buildings in the EU have been assessed as energy-inefficient. Internet of Things (IoT) services are developed to increase energy efficiency in buildings. T
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86c5ea9ab1dd877b27b21efb6b571b79
Zobrazit plný text záznamu
5
Too big to match: a strategy around matching tasks for large taxonomies
Autor: Algergawy, Alsayed, Karam, Naouel, Laadhar, Amir, Michel, Franck
Following the introduction of a new matching task at the biodiversity and ecology track of the Ontology Alignment Evaluation Initiative (OAEI), to align between two large taxonomies, we acknowledged the fact that large ontologies or taxonomies still
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f1269596dbef1b6e2a91a3e1200e0b07
Zobrazit plný text záznamu
6
domOS Common Ontology:Web of Things Discovery in Smart Buildings
Autor: Laadhar, Amir, Thomsen, Christian, Pedersen, Torben Bach
Publikováno v: Laadhar, A, Thomsen, C & Pedersen, T B 2022, domOS Common Ontology : Web of Things Discovery in Smart Buildings . in P Groth, A Rula, J Schneider, I Tiddi, E Simperl, P Alexopoulos, R Hoekstra, M Alam, A Dimou, M Tamper & M Tamper (eds), European Semantic Web Conference : ESWC 2022 Satellite Events-Proceedings . Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13384 LNCS, pp. 95-100, 19th European Semantic Web Conference, ESWC 2022, Hersonissos, Greece, 29/05/2022 . https://doi.org/10.1007/978-3-031-11609-4_18
According to the 2021 energy efficiency report of the European Union (EU), 75% of the existing buildings in the EU have been assessed as energy-inefficient. Internet of Things (IoT) services are developed to increase energy efficiency in buildings. T
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::92d4330ec736aed4216fbd0ad72924d7
https://vbn.aau.dk/da/publications/23ddedc2-c9f8-4573-9828-9a09e249e75b
Zobrazit plný text záznamu
8
Investigating One Million XRefs in Thirthy Ontologies from the OBO World
Autor: Laadhar, Amir, Abrahão, Elcio, Jonquet, Clement
Publikováno v: ICBO 2020-11th International Conference on Biomedical Ontologies
ICBO 2020-11th International Conference on Biomedical Ontologies, Sep 2020, Bozen-Bolzano, Italy. pp.G.1-12
The International Conference on Biomedical Ontologies (ICBO) is a premier annual conference series that brings together researchers, students and professionals involved in the development and application of ontologies in all areas of biology, medicin
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a7cef29e604604d84e4607b656a1535c
https://hal-lirmm.ccsd.cnrs.fr/lirmm-02945170
Zobrazit plný text záznamu
9
Local matching learning of large scale biomedical ontologies
Autor: Laadhar, Amir
Publikováno v: Technology for Human Learning. Université Paul Sabatier-Toulouse III, 2019. English. ⟨NNT : 2019TOU30126⟩
Although a considerable body of research work has addressed the problem of ontology matching, few studies have tackled the large ontologies used in the biomedical domain. We introduce a fully automated local matching learning approach that breaks dow
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d835290795261e44f3e137b6b3647841
https://theses.hal.science/tel-02651332
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje