Abstract
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 denned and applied. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Spyns, P., & Reinberger, M. L. (2005). Lexically evaluating ontology triples generated automatically from texts. In Lecture Notes in Computer Science (Vol. 3532, pp. 563–577). Springer Verlag. https://doi.org/10.1007/11431053_38
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