Results 21 to 30 of about 3,434 (243)

MultiFarm: A benchmark for multilingual ontology matching [PDF]

, 2012
In this paper we present the MultiFarm dataset, which has been designed as a benchmark for multilingual ontology matching. The MultiFarm dataset is composed of a set of ontologies translated in different languages and the corresponding alignments between
Svátek, Vojtěch, Stuckenschmidt, H., Wang, Shenghui Shenghui, Wang, Shenghui, Meilicke, C., Meilicke, Christian, van Hage, W.R., Ribeiro de Azevedo, Ryan, García Castro, Raúl, Montiel Ponsoda, Elena, Azevedo, Ryan Ribeiro de, Šváb-Zamazal, Ondřej, Tamalin, A., Freitas, Fred, Trojahn, Cássia, Trojahn dos Santos, Cassia, García-Castro, Raúl, Montiel-Ponsoda, E., Montiel-Ponsoda, Elena, van Hage, Willem Robert, Ribeiro de Azevedo, R., Stuckenschmidt, Heiner, Wang, S., Freitas, F., Freitas, Frederico, Tamilin, Andrei, Svatek, V., Hage, Willem Robert van, Svab-Zamazal, O., Robert van Hage, Willem, García-Castro, R.   +30 more
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A multi-objective particle swarm optimization with density and distribution-based competitive mechanism for sensor ontology meta-matching

Complex & Intelligent Systems, 2022
Sensor ontology is a standard conceptual model that describes information of sensor device, which includes the concepts of various sensor modules and the relationships between them.
Aifeng Geng, Qing Lv
doaj   +1 more source

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

Results of the Ontology Alignment Evaluation Initiative 2021 [PDF]

, 2022
62108The 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.
Jimenez-Ruiz, E., Michel, F., Roussey, C., Zamaza, O., Karam, N., Paulheim, H., Li, Y., Faria, D., Hertling, S., Fundulaki, I., Pesquita, C., Amini, R., Harrow, I., Splendiani, A., Vatascinova, J., Amardeilh, F., Yaman, B., Nasr, E., Pour, M.A.N., Portisch, J., Saveta, T., Fallatah, O., Laadhar, A., Huschka, M., Zhou, L., Shvaiko, P., Trojahn, C., Ibanescu, L., Algergawy, A., Lambrix, P., Li, H., Hitzler, P.   +31 more
core  

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

Results of the ontology alignment evaluation initiative 2018 [PDF]

, 2022
76116The 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 (from simple thesauri to expressive OWL ...
Ferrara, A., Jimenez-Ruiz, E., Schmidt, D., Karam, N., Saveta, T., Paulheim, H., Thieblin, E., Zamazal, O., Faria, D., Zhou, L., Hertling, S., Cheatham, M., Vatascinová, J., Shvaiko, P., Fundulaki, I., Khiat, A., Trojahn, C., Pesquita, C., Algergawy, A., Harrow, I., Splendiani, A., Lambrix, P., Li, H., Montanelli, S.   +23 more
core  

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 2020 [PDF]

, 2022
92138The Ontology Alignment Evaluation Initiative (OAEI) aims at com-paring ontology matching systems on precisely defined test cases. These testcases can be based on ontologies of different levels of complexity and use different evaluation modalities (e.
Lambrix, Patrick, Khiat, Abderrahmane, Vatascinová, Jana, Hertling, Sven, Splendiani, Andrea, Li, Huanyu, Thiéblin, Elodie, Faria, Daniel, Trojahn, Cássia, Algergawy, Alsayed, Karam, Naouel, Laadhar, Amir, Shvaiko, Pavel, Saveta, Tzanina, Harrow, Ian, Fundulaki, Irini, Paulheim, Heiko, Jiménez-Ruiz, Ernesto, Yaman, Beyza, Zamazal, Ondrej, Jonquet, Clement, Zhou, Lu, Amini, Reihaneh, Li, Ying, Nikooie Pour, Mina Abd, Pesquita, Catia, Hitzler, Pascal   +26 more
core  

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