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
收藏
页码：376 / 384
页数：9
相关论文
共 50 条
  • [1] Change Detection with Weightless Neural Networks
    De Gregorio, Massimo
    Giordano, Maurizio
    [J]. 2014 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW), 2014, : 409 - +
  • [2] Background estimation by weightless neural networks
    De Gregorio, Massimo
    Giordano, Maurizio
    [J]. PATTERN RECOGNITION LETTERS, 2017, 96 : 55 - 65
  • [3] Background Modeling by Weightless Neural Networks
    De Gregorio, Massimo
    Giordano, Maurizio
    [J]. NEW TRENDS IN IMAGE ANALYSIS AND PROCESSING - ICIAP 2015 WORKSHOPS, 2015, 9281 : 493 - 501
  • [4] Weightless neural networks for face recognition
    Lauria, S
    Mitchell, R
    [J]. NEURAL NETS - WIRN VIETRI-99, 1999, : 206 - 212
  • [5] Alpha-Beta Weightless Neural Networks
    Jose Arguelles-Cruz, Amadeo
    Lopez-Yanez, Itzama
    Aldape-Perez, Mario
    Conde-Gaxiola, Napoleon
    [J]. PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS AND APPLICATIONS, PROCEEDINGS, 2008, 5197 : 496 - 503
  • [6] Weightless neural networks for open set recognition
    Cardoso, Douglas O.
    Gama, Joao
    Franca, Felipe M. G.
    [J]. MACHINE LEARNING, 2017, 106 (9-10) : 1547 - 1567
  • [7] Weightless neural networks for typing biometrics authentication
    Yong, S
    Lai, WK
    Goghill, G
    [J]. KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS, 2004, 3214 : 284 - 293
  • [8] Implementation of probabilistic automata in weightless neural networks
    Oliveira, JCM
    de Souto, MCP
    Ludermir, TB
    [J]. VII BRAZILIAN SYMPOSIUM ON NEURAL NETWORKS, PROCEEDINGS, 2002, : 235 - 235
  • [9] 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
    [J]. 2022 IEEE 33RD INTERNATIONAL CONFERENCE ON APPLICATION-SPECIFIC SYSTEMS, ARCHITECTURES AND PROCESSORS (ASAP), 2022, : 19 - 26
  • [10] 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.
    [J]. PROCEEDINGS OF THE 2022 31ST INTERNATIONAL CONFERENCE ON PARALLEL ARCHITECTURES AND COMPILATION TECHNIQUES, PACT 2022, 2022, : 279 - 290
12345