@inproceedings{3ee07bcabdc64e0d88a73d7034c65bf9,
title = "Locality-sensitive hashing for massive string-based ontology matching",
abstract = "This paper reports initial research results related to the use of locality-sensitive hashing (LSH) for string-based matching of big ontologies. Two ways of transforming the matching problem into a LSH problem are proposed and experimental results are reported. The performed experiments show that using LSH for ontology matching could lead to a very fast matching process. The quality of the alignment achieved in these experiments is comparable to state-of-the-art matchers, but much faster. Further research is needed to find out whether the use of different metrics or specific hardware would improve the results.",
author = "Michael Cochez",
year = "2014",
month = oct,
day = "16",
doi = "10.1109/WI-IAT.2014.26",
language = "English",
series = "Proceedings - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "651--660",
editor = "Dominik Slezak and Nguyen, {Hung Son} and Eugene Santos and Marek Reformat",
booktitle = "Proceedings - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014",
address = "United States",
note = "2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014 ; Conference date: 11-08-2014 Through 14-08-2014",
}