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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. | | |
| 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 | |
| Publication |
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Berlin : Springer, 2005
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| ISBN |
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3-540-26124-9
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p. 563-577
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| ISI |
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000230458500038
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