Neural-Symbolic Integration and the Semantic Web

Tracking #: 2188-3401

This paper is currently under review
Authors: 
Pascal Hitzler
Federico Bianchi
Monireh Ebrahimi
Md Kamruzzaman Sarker

Responsible editor: 
Guest Editor 10-years SWJ

Submission type: 
Other
Abstract: 
Neural-Symbolic Integration, as a field of research, addresses fundamental problems related to building a technical bridge between symbolic, logic-based systems and approaches, and subsymbolic, artificial neural network or deep learning based machine learning. In this paper, we lay out promises and possible benefits of neural-symbolic integration research for the Semantic Web, and also potential benefits of Semantic Web and neural-symbolic integration research for deep learning. We also provide a brief overview of some of the current research going on in relation to this theme.
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Under Review