@inproceedings{48d48bf39d5f4d729ea3b49e6f2f99b3,
title = "A Multilingual Ontology Matcher",
abstract = "State-of-the-art multilingual ontology matchers use machine translation to reduce the problem to the monolingual case. We investi- gate an alternative, self-contained solution based on semantic matching where labels are parsed by multilingual natural language processing and then matched using a language-independent knowledge base acting as an interlingua. As the method relies on the availability of domain vocabu- laries in the languages supported, matching and vocabulary enrichment become joint, mutually reinforcing tasks. In particular, we propose a vo- cabulary enrichment method that uses the matcher{\textquoteright}s output to detect and generate missing items semi-automatically. Vocabularies developed in this manner can then be reused for other domain-specific natural lan- guage understanding tasks.",
keywords = "matching, interpretation, multi-lingual, ontology",
author = "Gabor Bella and Fausto Giunchiglia and Ahmed AbuRa'ed and Fiona McNeill",
year = "2015",
month = oct,
day = "12",
language = "English",
series = "CEUR Workshop Proceedings",
publisher = "CEUR-WS",
pages = "13--24",
booktitle = "Proceedings of the 10th Workshop on Ontology Matching",
}