Publication
Title
Lexically evaluating ontology triples generated automatically from texts
Author
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.
Language
English
Source (book)
2nd European Semantic Web Conference, May 29-June 1, 2005, Heraklion, Greece
Publication
Berlin : Springer, 2005
ISBN
3-540-26124-9
Volume/pages
p. 563-577
ISI
000230458500038
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 12.07.2012
Last edited 23.04.2017
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