Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4943478 | Expert Systems with Applications | 2017 | 38 Pages |
Abstract
Here we present the Xart system based on a three-step hybrid method using data mining approaches and syntactic analysis to automatically discover and extract relevant data modeled as n-ary relations in plain text. A n-ary relation links a studied object with its features considered as several arguments. We addressed the challenge of designing a novel method to handle the identification and extraction of heterogeneous arguments such as symbolic arguments, quantitative arguments composed of numbers and various measurement units. We thus developed the Xart system, which relies on a domain ontology for discovering patterns, in plain text, to identify arguments involved in n-ary relations. The discovered patterns take advantage of different ontological levels that facilitate identification of all arguments and pool them in the sought n-ary relation.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Soumia Lilia Berrahou, Patrice Buche, Juliette Dibie, Mathieu Roche,