Objective-Driven Modular and Hybrid Approach Combining Machine Learning and Ontology

Author:

Narsis Ouassila Labbani1,Dujardin Erik2,Nicolle Christophe1

Affiliation:

1. Université de Bourgogne,CIAD UMR 7533,Dijon,UB,France,F-21000

2. Université de Bourgogne,ICB CNRS UMR 6303,Dijon,UB,France,F-21000

Publisher

IEEE

Reference57 articles.

1. Hybrid reasoning in knowledge graphs: Combing symbolic reasoning and statistical reasoning

2. Combining Machine Learning and Semantic Features in the Classification of Corporate Disclosures

3. Combined ontology-driven and machine learning approach to monitoring of building energy consumption;Delgoshaei

4. Towards scalable reasoning on ontology streams via syntactic approximation;Ren;Proc. of IWOD,2010

5. Choosing Machine Learning Algorithms for Anomaly Detection in Smart Building IoT Scenarios

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