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Hybridization of an Index Based on Concept Lattice with a Terminology Extraction Model for Semantic Information Retrieval Guided by WordNet
Conference proceeding

Hybridization of an Index Based on Concept Lattice with a Terminology Extraction Model for Semantic Information Retrieval Guided by WordNet

Fethi Fkih and Mohamed Nazih Omri
PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON HYBRID INTELLIGENT SYSTEMS (HIS 2016), Vol.552, pp.144-152
Advances in Intelligent Systems and Computing
01/01/2017
DOI: https://doi.org/10.1007/978-3-319-52941-7_15

Abstract

Computer Science Computer Science, Artificial Intelligence Science & Technology Technology
In this paper, we present IRAFCA-WN an information retrieval system from textual documents. Our model includes an automatic extraction module of terminology and a module based on formal concept analysis (FCA) guided by WordNet for indexing. The experimental study on a standard test data shows the effectiveness of our hybrid model.

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