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Title
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Lexically evaluating ontology triples generated automatically from texts
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Author
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Abstract
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| Our purpose is to present a method to lexically evaluate the results of extracting in an unsupervised way material from text corpora to build ontologies. We have worked on a legal corpus (EU VAT directive) consisting of 43K words. The unsupervised text miner has produced a set of triples. These are to be used as preprocessed material for the construction of ontologies from scratch. A quantitative scoring method (coverage, accuracy, recall and precision metrics resulting in a 38.68%, 52.1%, 9.84% and 75.81% scores respectively) has been defined and applied. |
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Language
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English
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Source (book)
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2nd European Semantic Web Conference, May 29-June 1, 2005, Heraklion, Greece
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Publication
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Berlin
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Springer
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2005
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ISBN
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3-540-26124-9
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Volume/pages
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p. 563-577
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ISI
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000230458500038
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