Results 31 to 40 of about 3,408 (243)

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

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

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

MultiFarm: A benchmark for multilingual ontology matching

, 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
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

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 2021

, 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  

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

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.
Bernardo Alarcos, Ivan Marsa-Maestre, Susel Fernandez, Juan R. Velasco   +3 more
doaj   +1 more source

Optimizing Biomedical Ontology Alignment through a Compact Multiobjective Particle Swarm Optimization Algorithm Driven by Knee Solution

Discrete Dynamics in Nature and Society, 2020
Nowadays, most real-world decision problems consist of two or more incommensurable or conflicting objectives to be optimized simultaneously, so-called multiobjective optimization problems (MOPs).
Xingsi Xue, Xiaojing Wu, Junfeng Chen
doaj   +1 more source