@inproceedings{Freitas2013e,
abstract = {This work introduces Distributional Relational Net- works (DRNs), a Knowledge Representation (KR) framework which focuses on allowing semantic approx- imations over large-scale and heterogeneous knowledge bases. The proposed model uses the distributional se- mantics information embedded in large text/data cor- pora to provide a comprehensive and principled solu- tion for semantic approximation. DRNs can be applied to open domain knowledge bases and can be used as a KR model for commonsense reasoning. Experimental results show the suitability of DRNs as a semantically flexible KR framework.},
author = {Freitas, Andre and da Silva, Joao C. P. and O'Riain, Sean and Curry, Edward},
booktitle = {AAAI 2013 Fall Symposium on Semantics for Big Data},
file = {:Users/ed/Library/Application Support/Mendeley Desktop/Downloaded/Freitas et al. - 2013 - Distributional Relational Networks.pdf:pdf},
pages = {1--6},
title = {{Distributional Relational Networks}},
url = {http://www.edwardcurry.org/publications/aaai_distributional_relational_networks_2013.pdf},
year = {2013}
}