Ontology Alignment with Weightless Neural Networks

被引：2

作者：

Viana, Thais ^{[1
]}

Delgado, Carla ^{[1
,2
]}

da Silva, Joao C. P. ^{[2
]}

Lima, Priscila ^{[1
]}

机构：

[1] Univ Fed Rio de Janeiro, Program Posgrad Informat, Rio De Janeiro, Brazil

[2] Univ Fed Rio de Janeiro, Dept Ciencia Comp, IM, Ave Athos da Silveira Ramos 274, BR-68530 Rio De Janeiro, Brazil

来源：

ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING, PT II | 2017年 / 10614卷

关键词：

Weightless Neural Network; WiSARD; Ontology alignment; Ontology matching;

D O I：

10.1007/978-3-319-68612-7_43

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we present an ontology matching process based on the usage of Weightless Neural Networks (WNN). The alignment of ontologies for specific domains provides several benefits, such as interoperability among different systems and the improvement of the domain knowledge derived from the insights inferred from the combined information contained in the various ontologies. A WiSARD classifier is built to estimate a distribution-based similarity measure among the concepts of the several ontologies being matched. To validate our approach, we apply the proposed matching process to the knowledge domain of algorithms, software and computational problems, having some promising results.

引用

页码：376 / 384

页数：9

共 50 条

[1] A conditional branch predictor based on weightless neural networks
Villon, Luis A. Q.
Susskind, Zachary
Bacellar, Alan T. L.
Miranda, Igor D. S.
de Araujo, Leandro S.
Lima, Priscila M. V.
Breternitz, Mauricio
John, Lizy K.
Franca, Felipe M. G.
Dutra, Diego L. C.
NEUROCOMPUTING, 2023, 555
[2] Weightless Neural Networks for Efficient Edge Inference
Susskind, Zachary
Arora, Aman
Miranda, Igor D. S.
Villon, Luis A. Q.
Katopodis, Rafael F.
de Araujo, Leandro S.
Dutra, Diego L. C.
Lima, Priscila M. V.
Franca, Felipe M. G.
Breternitz, Mauricio, Jr.
John, Lizy K.
PROCEEDINGS OF THE 2022 31ST INTERNATIONAL CONFERENCE ON PARALLEL ARCHITECTURES AND COMPILATION TECHNIQUES, PACT 2022, 2022, : 279 - 290
[3] Weightless neural networks for open set recognition
Cardoso, Douglas O.
Gama, Joao
Franca, Felipe M. G.
MACHINE LEARNING, 2017, 106 (9-10) : 1547 - 1567
[4] LogicWiSARD: Memoryless Synthesis of Weightless Neural Networks
Miranda, Igor D. S.
Arora, Aman
Susskind, Zachary
Villon, Luis A. Q.
Katopodis, Rafael F.
Dutra, Diego L. C.
de Araujo, Leandro S.
Lima, Priscila M., V
Franca, Felipe M. G.
John, Lizy K.
Breternitz Jr, Mauricio
2022 IEEE 33RD INTERNATIONAL CONFERENCE ON APPLICATION-SPECIFIC SYSTEMS, ARCHITECTURES AND PROCESSORS (ASAP), 2022, : 19 - 26
[5] Weightless neural networks for open set recognition
Douglas O. Cardoso
João Gama
Felipe M. G. França
Machine Learning, 2017, 106 : 1547 - 1567
[6] An experimental evaluation of weightless neural networks for multi-class classification
De Gregorio, Massimo
Giordano, Maurizio
APPLIED SOFT COMPUTING, 2018, 72 : 338 - 354
[7] Weightless Neural Networks as Memory Segmented Bloom Filters
Santiago, Leandro
Verona, Leticia
Rangel, Fabio
Firmino, Fabricio
Menasche, Daniel S.
Caarls, Wouter
Breternitz, Mauricio, Jr.
Kundu, Sandip
Lima, Priscila M. V.
Franca, Felipe M. G.
NEUROCOMPUTING, 2020, 416 : 292 - 304
[8] Weightless Neural Networks Applied to Nonintrusive Load Monitoring
De Lello, Guilherme C.
Caldeira, Juliano F.
Aredes, Mauricio
Franca, Felipe M. G.
Lima, Priscila M., V
2020 IEEE 34TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS (IPDPSW 2020), 2020, : 844 - 851
[9] A Collaborative Weightless Neural Network
da Silva, Iago R.
dos Santos, Jorge G.
Nery, Alexandre S.
2021 WORKSHOP ON COMMUNICATION NETWORKS AND POWER SYSTEMS (WCNPS), 2021,
[10] Ontology Matching Using Convolutional Neural Networks
Bento, Alexandre
Zouaq, Amal
Gagnon, Michel
PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020), 2020, : 5648 - 5653

← 1 2 3 4 5 →