Title
Lexically evaluating ontology triples generated automatically from texts
Author
Faculty/Department
Faculty of Arts. Linguistics and Literature
Publication type
bookPart
Publication
Berlin :Springer, [*]
Subject
Computer. Automation
Source (book)
2nd European Semantic Web Conference, May 29-June 1, 2005, Heraklion, Greece
ISBN
3-540-26124-9
ISI
000230458500038
Carrier
E
Target language
English (eng)
Affiliation
University of Antwerp
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 defined and applied.
E-info
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