Results 21 to 30 of about 43,195 (259)

Results of the Ontology Alignment Evaluation Initiative 2021 [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., blind evaluation, open evaluation, or consensus).
Abd, Mina, Algergawy, Alsayed, Amardeilh, Florence, Amini, Reihaneh, Fallatah, Omaima, Faria, Daniel, Fundulaki, Irini, Harrow, Ian, Hertling, Sven, Hitzler, Pascal, Huschka, Martin, Ibanescu, Liliana, Jiménez-Ruiz, Ernesto, Karam, Naouel, Laadhar, Amir, Lambrix, Patrick, Li, Huanyu, Li, Ying, Michel, Franck, Nasr, Engy, Paulheim, Heiko, Pesquita, Catia, Portisch, Jan, Roussey, Catherine, Saveta, Tzanina, Shvaiko, Pavel, Splendiani, Andrea, Trojahn, Cassia, Vataščinová, Jana, Yaman, Beyza, Zamazal, Ondřej, Zhou, Lu   +31 more
openaire   +5 more sources

Multimatcher Model to Enhance Ontology Matching Using Background Knowledge

Information, 2021
Ontology matching is a rapidly emerging topic crucial for semantic web effort, data integration, and interoperability. Semantic heterogeneity is one of the most challenging aspects of ontology matching.
Sohaib Al-Yadumi, Wei-Wei Goh, Ee-Xion Tan, Noor Zaman Jhanjhi, Patrice Boursier   +4 more
doaj   +1 more source

Minimizing conservativity violations in ontology alignments: algorithms and evaluation [PDF]

, 2017
In order to enable interoperability between ontology-based systems, ontology matching techniques have been proposed. However, when the generated mappings lead to undesired logical consequences, their usefulness may be diminished.
A Borgida, A Dovier, A Solimando, A Soylu, Alessandro Solimando, B Cuenca Grau, B Glimm, B Motik, BC Grau, C Lutz, C Lutz, C Meilicke, C Rosse, E Beisswanger, E Jiménez-Ruiz, Ernesto Jiménez-Ruiz, G Even, G Gallo, Giovanna Guerrini, J David, J Euzenat, J Euzenat, J Euzenat, J Golbeck, M Giese, M Rodriguez-Muro, O Bodenreider, P Lambrix, P Shvaiko, P Wang, R Jean-Mary Yves, R Raymond, R Tarjan, S Schulz, V Mascardi, V Nebot, WF Dowling, Y Kazakov   +37 more
core   +1 more source

Optimizing Ontology Alignment through Linkage Learning on Entity Correspondences

Complexity, 2021
Data heterogeneity is the obstacle for the resource sharing on Semantic Web (SW), and ontology is regarded as a solution to this problem. However, since different ontologies are constructed and maintained independently, there also exists the ...
Xingsi Xue, Chaofan Yang, Chao Jiang, Pei-Wei Tsai, Guojun Mao, Hai Zhu   +5 more
doaj   +1 more source

Toward the Multilingual Semantic Web: Multilingual Ontology Matching and Assessment

IEEE Access, 2023
The amount of multilingual data on the Web proliferates; therefore, developing ontologies in various natural languages is attracting considerable attention.
Shimaa Ibrahim, Said Fathalla, Jens Lehmann, Hajira Jabeen   +3 more
doaj   +1 more source

Matching Biomedical Ontologies through Adaptive Multi-Modal Multi-Objective Evolutionary Algorithm

Biology, 2021
To integrate massive amounts of heterogeneous biomedical data in biomedical ontologies and to provide more options for clinical diagnosis, this work proposes an adaptive Multi-modal Multi-Objective Evolutionary Algorithm (aMMOEA) to match two ...
Xingsi Xue, Pei-Wei Tsai, Yucheng Zhuang
doaj   +1 more source

Results of the Ontology Alignment Evaluation Initiative 2011 (Final) [PDF]

, 2011
Euzenat, Jérôme, Ferrara, Alfio, Hage, Willem Robert van, Hollink, Laura, Meilicke, Christian, Nikolov, Andriy, Scharffe, Francois, Shvaiko, Pavel, Stuckenschmidt, Heiner, Svab-Zamazal, Ondrej, Trojahn, Cássia   +10 more
core   +3 more sources

Similarity Feature Construction for Matching Ontologies through Adaptively Aggregating Artificial Neural Networks

Mathematics, 2023
Ontology is the kernel technique of Semantic Web (SW), which enables the interaction and cooperation among different intelligent applications. However, with the rapid development of ontologies, their heterogeneity issue becomes more and more serious ...
Xingsi Xue, Jianhua Guo, Miao Ye, Jianhui Lv   +3 more
doaj   +1 more source

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