The problem of ontology alignment on the web: a first report

Authors:
Davide Fossati;Gabriele Ghidoni;Barbara Di Eugenio;Isabel Cruz;Huiyong Xiao;Rajen Subba
Affiliations:
University of Illinois, Chicago, IL;University of Illinois, Chicago, IL;University of Illinois, Chicago, IL;University of Illinois, Chicago, IL;University of Illinois, Chicago, IL;University of Illinois, Chicago, IL
Venue:
WAC '06 Proceedings of the 2nd International Workshop on Web as Corpus
Year:
2006

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Abstract

This paper presents a general architecture and four algorithms that use Natural Language Processing for automatic ontology matching. The proposed approach is purely instance based, i.e., only the instance documents associated with the nodes of ontologies are taken into account. The four algorithms have been evaluated using real world test data, taken from the Google and LookSmart online directories. The results show that NLP techniques applied to instance documents help the system achieve higher performance.