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

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

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by Davide Fossati , Gabriele Ghidoni , Barbara Di Eugenio , Isabel Cruz , Huiyong Xiao , Rajen Subba

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BibTeX

@MISC{Fossati_theproblem,
    author = {Davide Fossati and Gabriele Ghidoni and Barbara Di Eugenio and Isabel Cruz and Huiyong Xiao and Rajen Subba},
    title = {The problem of ontology alignment on the web: a first report},
    year = {}
}

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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. 1

Keyphrases

first report ontology alignment instance document general architecture automatic ontology real world test data nlp technique natural language processing looksmart online directory

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