Results 31 to 40 of about 6,765,512 (191)

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 from experiments in ontology learning including evaluation and recommendation [PDF]

, 2007
This document describes the Ontology Learning experiments we performed in order to recommend a set of ontology learning techniques to enhance the ontology engineering process in the fisheries domain in place at FAO. Experiments have been conceived in the
Caracciolo, Caterina, D'Aquin, Mathieu, Sabou, Marta, Voelker, Johanna, Peters, Wim   +4 more
core   +1 more source

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

Results of the ontology alignment evaluation initiative 2020

, 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   +1 more source

CroMatcher 2.0: A Comprehensive Analysis of the Improved Ontology Matching System

IEEE Access
One of the main challenges in ontology matching is to match ontologies with high accuracy. Therefore, ontology matching systems typically use multiple basic matchers, each targeting a specific ontology component for the matching process.
Marko Gulic, Boris Vrdoljak, Marina Pticek   +2 more
doaj   +1 more source

Results of the ontology alignment evaluation initiative 2018

, 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   +1 more source

Bayesian Evaluation and Comparison of Ontology Alignment Systems

IEEE Access, 2019
Ontology alignment systems are evaluated by various performance scores, which are usually computed by a ratio related directly to the frequency of the true positives.
Majid Mohammadi
doaj   +1 more source

Results of the Ontology Alignment Evaluation Initiative 2023.

, 2023
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 2023 campaign offered 15 tracks and was attended by 16 participants.
Pour, Mina Abd Nikooie, Algergawy, Alsayed, Buche, Patrice, Castro, Leyla Jael, Chen, Jiaoyan, Coulet, Adrien, Cufi, Julien, Dong, Hang, Fallatah, Omaima, Faria, Daniel, Fundulaki, Irini, Hertling, Sven, He, Yuan, Horrocks, Ian, Huschka, Martin, Ibanescu, Liliana, Jain, Dr Sarika, Jiménez-Ruiz, Ernesto, Karam, Naouel, Lambrix, Patrick, Li, Huanyu, Li, Ying, Monnin, Pierre, Nasr, Engy, Paulheim, Heiko, Pesquita, Catia, Saveta, Tzanina, Shvaiko, Pavel, Sousa, Guilherme, Trojahn, Cassia, Vataščinová, Jana, Wu, Mingfang, Yaman, Beyza, Zamazal, Ondrej, Zhou, Lu   +34 more
openaire   +6 more sources

Towards valid and reusable reference alignments — ten basic quality checks for ontology alignments and their application to three different reference data sets

Journal of Biomedical Semantics, 2012
Identifying relationships between hitherto unrelated entities in different ontologies is the key task of ontology alignment. An alignment is either manually created by domain experts or automatically by an alignment system.
Beisswanger Elena, Hahn Udo
doaj   +1 more source