Results 91 to 100 of about 618 (178)

EVOCROS: Results for OAEI 2019

, 2019
This paper describes the updates in EVOCROS, a crosslingual ontology alignment system suited to create mappings between ontologies described in different natural language.
Vargas, Javier A, Destro, Juliana Medeiros, dos Reis, Julio Cesar, Torres, Ricardo Da Silva   +3 more
core  

TOMATO : results of the 2023 OAEI evaluation campaign

, 2023
International audienceThis paper presents the results obtained by TOMATO in the OAEI 2023 evaluation campaign. We describe here the results in the Conference track.
Roussille, Philippe, Teste, Olivier
core   +1 more source

YAM++ - Results for OAEI 2012

, 2012
International audienceThe YAM++ system is a self configuration, flexible and extensible ontology matching system. YAM++ takes advantages of many techniques coming from different fields such as machine learning, information retrieval, graph matching, etc.
Ngo, Duy Hoa, Bellahsene, Zohra
core   +1 more source

SMAT: An attention-based deep learning solution to the automation of schema matching. [PDF]

Adv Databases Inf Syst, 2021
Zhang J, Shin B, Choi JD, Ho JC.
europepmc   +1 more source

Ontology Matching with CIDER: evaluation report for OAEI 2011 [PDF]

, 2011
CIDER is a schema-based ontology alignment system. Its algorithm compares each pair of ontology terms by, firstly, extracting their ontological contexts up to a certain depth (enriched by using lightweight inference) and, secondly, combining different ...
Bernad, J., Mena, E., Gracia del Río, Jorge   +2 more
core  

TOMATO : results of the 2022 OAEI evaluation campaign

, 2022
International audienceThis paper presents the results obtained by the TOMATO system in the OAEI 2022 evaluation campaign. We describe here the results in the Conference track.
Roussille, Philippe, Teste, Olivier
core   +1 more source

OLA in the OAEI 2005 Alignment Contest. [PDF]

, 2005
Among the variety of alignment approaches (e.g., using machine learning, subsumption computation, formal concept analysis, etc.) similarity-based ones rely on a quantitative assessment of pair-wise likeness between entities. Our own alignment tool, OLA, features a similarity model rooted in principles such as: completeness on the ontology language ...
Euzenat, Jérôme, Guégan, Philippe, Valtchev, Petko   +2 more
openaire   +1 more source

AROMA Results for OAEI 2009. [PDF]

, 2009
This paper presents the results obtained by AROMA for its second participation to OAEI. AROMA is an hybrid, extensional and asymmetric ontology alignment method that makes use of the association paradigm and a statistical interestingness measure, the implication intensity.
openaire   +1 more source

A Simple Standard for Sharing Ontological Mappings (SSSOM). [PDF]

Database (Oxford), 2022
Matentzoglu N, Balhoff JP, Bello SM, Bizon C, Brush M, Callahan TJ, Chute CG, Duncan WD, Evelo CT, Gabriel D, Graybeal J, Gray A, Gyori BM, Haendel M, Harmse H, Harris NL, Harrow I, Hegde HB, Hoyt AL, Hoyt CT, Jiao D, Jiménez-Ruiz E, Jupp S, Kim H, Koehler S, Liener T, Long Q, Malone J, McLaughlin JA, McMurry JA, Moxon S, Munoz-Torres MC, Osumi-Sutherland D, Overton JA, Peters B, Putman T, Queralt-Rosinach N, Shefchek K, Solbrig H, Thessen A, Tudorache T, Vasilevsky N, Wagner AH, Mungall CJ.   +43 more
europepmc   +1 more source

YAM++ -- Results for OAEI 2011

, 2011
International audienceThe YAM++ system is a self configuration, flexible and extensible ontology matching system. The key idea behind YAM++ system is based on machine learning and similarity flooding approaches. In this paper, we briefly present the YAM++
Coletta, Remi, Ngo, Duy Hoa, Bellahsene, Zohra   +2 more
core