Results 1 to 10 of about 6,765,512 (191)

Experiences from the anatomy track in the ontology alignment evaluation initiative [PDF]

Journal of Biomedical Semantics, 2017
Background One of the longest running tracks in the Ontology Alignment Evaluation Initiative is the Anatomy track which focuses on aligning two anatomy ontologies. The Anatomy track was started in 2005.
Patrick Lambrix, Huanyu Li, Valentina Ivanova   +2 more
exaly   +7 more sources

Results of the ontology alignment evaluation initiative 2022

, 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. The OAEI 2022 campaign offered 14 tracks and was attended by 18 participants.
Pour, Mina Abd Nikooie, Algergawy, Alsayed, Buche, Patrice, Castro, Leyla Jael, Chen, Jiaoyan, Dong, Hang, Fallatah, Omaima, Faria, Daniel, Fundulaki, Irini, Hertling, Sven, He, Yuan, Horrocks, Ian, 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, Saveta, Tzanina, Shvaiko, Pavel, Trojahn, Cassia, Verhey, Chantelle, Wu, Mingfang, Yaman, Beyza, Zamazal, Ondrej, Zhou, Lu   +31 more
core   +10 more sources

Matching disease and phenotype ontologies in the ontology alignment evaluation initiative [PDF]

Journal of Biomedical Semantics, 2017
Background The disease and phenotype track was designed to evaluate the relative performance of ontology matching systems that generate mappings between source ontologies.
Ian Harrow, Ernesto Jiménez-Ruiz, Andrea Splendiani, Martin Romacker, Peter Woollard, Scott Markel, Yasmin Alam-Faruque, Martin Koch, James Malone, Arild Waaler   +9 more
doaj   +6 more sources

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 Nikooie Pour, 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, Cássia, Vataščinová, Jana, Yaman, Beyza, Zamazal, Ondrej, Zhou, Lu   +31 more
core   +9 more sources

Results of the Ontology Alignment Evaluation Initiative 2025.

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. The OAEI 2025 campaign offered 12 tracks and was attended by 20 participants.
Abd Nikooie Pour, Mina, Blomqvist, Eva, Giesteira Cotovio, Pedro, Coulet, Adrien, Ferraz, Lucas, Hertling, Sven, Jain, Sarika, Jiménez-Ruiz, Ernesto, Kraus, Felix, Lambrix, Patrick, Li, Huanyu, Li, Ying, Liu, Xianhao, Monnin, Pierre, Paulheim, Heiko, Pesquita, Catia, Sharma, Abhisek, Shvaiko, Pavel, Silva, Marta, Sousa, Guilherme, Trojahn, Cássia, Vataščinová, Jana, Yaman, Beyza, Zamazal, Ondrej, Zhou, Lu   +24 more
core   +18 more sources

Hybridizing Fuzzy String Matching and Machine Learning for Improved Ontology Alignment

Future Internet, 2023
Ontology alignment has become an important process for identifying similarities and differences between ontologies, to facilitate their integration and reuse.
Mohammed Rudwan, Jean Vincent Fonou-Dombeu   +1 more
exaly   +3 more sources

Using NSGA‐III for optimising biomedical ontology alignment

CAAI Transactions on Intelligence Technology, 2019
To support semantic inter-operability between the biomedical information systems, it is necessary to determine the correspondences between the heterogeneous biomedical concepts, which is commonly known as biomedical ontology matching. Biomedical concepts
Jiawei Lu, Xingsi Xue, Junfeng Chen
exaly   +3 more sources

Results of the ontology alignment evaluation initiative 2018 [PDF]

, 2018
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 (from simple thesauri to expressive OWL ontologies) and use different evaluation modalities (e.g., blind evaluation, open evaluation, or consensus).
Algergawy, Alsayed, Cheatham, Michelle, Faria, Daniel, Ferrara, Alfio, Fundulaki, Irini, Harrow, Ian, Hertling, Sven, Jiménez-Ruiz, Ernesto, Karam, Naouel, Khiat, Abderrahmane, Lambrix, Patrick, Li, Huanyu, Montanelli, Stefano, Paulheim, Heiko, Pesquita, Catia, Saveta, Tzanina, Schmidt, Daniela, Shvaiko, Pavel, Splendiani, Andrea, Thiéblin, Elodie, Trojahn, Cássia, Vataščinová, Jana, Zamazal, Ondrej, Zhou, Lu   +23 more
core   +8 more sources

Results of the ontology alignment evaluation initiative 2019 [PDF]

, 2019
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 (from simple thesauri to expressive OWL ontologies) and use different evaluation modalities (e.g., blind evaluation, open evaluation, or consensus).
Algergawy, Alsayed, Faria, Daniel, Ferrara, Alfio, Fundulaki, Irini, Harrow, Ian, Hertling, Sven, Jiménez-Ruiz, Ernesto, Karam, Naouel, Khiat, Abderrahmane, Lambrix, Patrick, Li, Huanyu, Montanelli, Stefano, Paulheim, Heiko, Pesquita, Catia, Saveta, Tzanina, Shvaiko, Pavel, Splendiani, Andrea, Thiéblin, Elodie, Trojahn, Cássia, Vataščinová, Jana, Zamazal, Ondrej, Zhou, Lu   +21 more
core   +6 more sources

Ontology Alignment Architecture for Semantic Sensor Web Integration

Sensors, 2013
Sensor networks are a concept that has become very popular in data acquisition and processing for multiple applications in different fields such as industrial, medicine, home automation, environmental detection, etc.
Susel Fernández, Bernardo Alarcos Alcázar, Ivan Marsa-Maestre   +2 more
exaly   +3 more sources