Results 31 to 40 of about 3,434 (243)

Matching biomedical ontologies through compact differential evolution algorithm

Systems Science & Control Engineering, 2019
Although biomedical ontologies have been widely used in the life science domain, the heterogeneous problem among biomedical ontologies hampers their inter-operability.
Xingsi Xue, Junfeng Chen
doaj   +1 more source

Definition of an Ontology Matching Algorithm for Context Integration in Smart Cities

Sensors, 2014
In this paper we describe a novel proposal in the field of smart cities: using an ontology matching algorithm to guarantee the automatic information exchange between the agents and the smart city.
Lorena Otero-Cerdeira, Francisco J. Rodríguez-Martínez, Alma Gómez-Rodríguez   +2 more
doaj   +1 more source

Instance-Based Ontology Matching For Open and Distance Learning Materials

International Review of Research in Open and Distributed Learning, 2017
The present work describes an original associative model of pattern classification and its application to align different ontologies containing Learning Objects (LOs), which are in turn related to Open and Distance Learning (ODL) educative content.
Sergio Cerón-Figueroa, Itzamá López-Yáñez, Yenny Villuendas-Rey, Oscar Camacho-Nieto, Mario Aldape-Pérez, Cornelio Yáñez-Márquez   +5 more
doaj   +1 more source

Optimizing Ontology Alignment through Improved NSGA-II

Discrete Dynamics in Nature and Society, 2020
Over the past decades, a large number of complex optimization problems have been widely addressed through multiobjective evolutionary algorithms (MOEAs), and the knee solutions of the Pareto front (PF) are most likely to be fitting for the decision maker
Yikun Huang, Xingsi Xue, Chao Jiang
doaj   +1 more source

Matching Network of Ontologies: A Random Walk and Frequent Itemsets Approach

IEEE Access, 2022
A System of Systems (SoS) is a complex set of IS (Information Systems) created by the aggregation and interconnection of ISs. SoS brings unexpected behavior and functionality during its construction to the benefit of its users and the SoS itself.
Fabio Santos, Carlos E. Mello
doaj   +1 more source

Results of the Ontology Alignment Evaluation Initiative 2021 [Elektronisk resurs] [PDF]

, 2021
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.g ...
Fundulaki, Irini,, Laadhar, Amir,, Li, Ying,, Paulheim, Heiko,, Zhou, Lu,, Harrow, Ian,, Hertling, Sven,, Roussey, Catherine,, Amardeilh, Florence,, Trojahn, Cassia,, Shvaiko, Pavel,, Yaman, Beyza,, Fallatah, Omaima,, Ibanescu, Liliana,, Lambrix, Patrick,, Amini, Reihaneh,, Nasr, Engy,, Li, Huanyu,, Jimenez-Ruiz, Ernesto,, Hitzler, Pascal,, Huschka, Martin,, Abd Nikooie Pour, Mina,, Portisch, Jan,, Pesquita, Catia,, Vatascinova, Jana,, Saveta, Tzanina,, Splendiani, Andrea,, Zamazal, Ondrej,, Faria, Daniel,, Algergawy, Alsayed,, Michel, Franck,, Karam, Naouel,   +31 more
core  

Biomedical ontology alignment: an approach based on representation learning

Journal of Biomedical Semantics, 2018
Background While representation learning techniques have shown great promise in application to a number of different NLP tasks, they have had little impact on the problem of ontology matching.
Prodromos Kolyvakis, Alexandros Kalousis, Barry Smith, Dimitris Kiritsis   +3 more
doaj   +1 more source

Towards more Challenging Problems for Ontology Matching Tools [PDF]

, 2011
We motivate the need for challenging problems in the evaluation of ontology matching tools. To address this need, we propose mapping sets between well-known biomedical ontologies that are based on the UMLS Metathesaurus. These mappings could be used as a
Grau, B.Cuenca, Ernesto Jimenez-Ruiz, E. Jiménez−Ruiz, Bernardo Cuenca Grau, B.Cuenca Grau, Jiménez−Ruiz, E.   +5 more
core   +2 more sources

Results of the Ontology Alignment Evaluation Initiative 2022 [Elektronisk resurs] [PDF]

, 2022
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.
Fundulaki, Irini,, Laadhar, Amir,, Li, Ying,, Paulheim, Heiko,, Zhou, Lu,, Hertling, Sven,, Trojahn, Cassia,, Shvaiko, Pavel,, Yaman, Beyza,, Fallatah, Omaima,, Wu, Mingfang,, He, Yuan,, Verhey, Chantelle,, Ibanescu, Liliana,, Lambrix, Patrick,, Nasr, Engy,, Li, Huanyu,, Chen, Jiaoyan,, Castro, Leyla J.,, Jimenez-Ruiz, Ernesto,, Buche, Patrice,, Huschka, Martin,, Abd Nikooie Pour, Mina,, Dong, Hang,, Pesquita, Catia,, Saveta, Tzanina,, Zamazal, Ondrej,, Faria, Daniel,, Horrocks, Ian,, Algergawy, Alsayed,, Michel, Franck,, Karam, Naouel,   +31 more
core  

Results of the Ontology Alignment Evaluation Initiative 2009. [PDF]

, 2009
Ontology matching consists of finding correspondences between on- tology entities. OAEI campaigns aim at comparing ontology matching systems on precisely defined test cases. Test cases can use ontologies of different nature (from expressive OWL ontologies to simple directories) and use different modal- ities, e.g., blind evaluation, open evaluation ...
Euzenat, Jérôme, Ferrara, Alfio, Hollink, Laura, Isaac, Antoine, Joslyn, Cliff, Malaisé, Véronique, Meilicke, Christian, Nikolov, Andriy, Pane, Juan, Sabou, Marta, Scharffe, François, Shvaiko, Pavel, Spiliopoulos, Vassilis, Stuckenschmidt, Heiner, Sváb-Zamazal, Ondrej, Svátek, Vojtech, Trojahn dos Santos, Cassia, Vouros, George, Wang, Shenghui   +18 more
openaire   +4 more sources