Farid Meziane

dblp:38/2268 · DBLP profile ↗
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17ranked-venue papers in the field
5as first author
5since 2021 · last 2026
0000-0001-9811-6914ORCID · verified

Domains — venue-derived; a paper can count in several

Database Systems & Data Management · 8 (2 first)Information Retrieval & Web Search · 7 (2 first)Knowledge Engineering, Semantic Web & Information Systems · 2 (1 first)
YearPublicationVenuePosition
2026 From natural language to knowledge: The Role of LLMs in conceptual and data modeling
Luigi Di Caro, Amon Rapp, Vijayan Sugumaran, Farid Meziane
Data Knowl. Eng.4
2024 Traffic Detection and Forecasting from Social Media Data Using a Deep Learning-Based Model, Linguistic Knowledge, Large Language Models, and Knowledge Graphs
Wasen Melhem, Asad Abdi, Farid Meziane
KEOD3
2024 A graph based named entity disambiguation using clique partitioning and semantic relatedness
Ramla Belalta, Mouhoub Belazzoug, Farid Meziane
Data Knowl. Eng.3
2024 Editorial for VSI:NLDB-saarbruecken-2021
Helmut Horacek, Epaminondas Kapetanios, Elisabeth Métais, Farid Meziane
Data Knowl. Eng.4
2022 Preface
Elisabeth Métais, Farid Meziane, Helmut Horacek, Philipp Cimiano
Data Knowl. Eng.2
2020 Movies Emotional Analysis Using Textual Contents
Amir Kazem Kayhani, Farid Meziane, Raja Chiky
NLDB2
2020 Preface
Max Silberztein, Elisabeth Métais, Farid Meziane, Elena Kornyshova, Faten Atigui
Data Knowl. Eng.3
2016 Validating Learning Outcomes of an E-Learning System Using NLP
Eiman Aeiad, Farid Meziane
NLDB2
2016 A Methodology for Biomedical Ontology Reuse
Nur Zareen Zulkarnain, Farid Meziane, Gillian Crofts
NLDB2
2016 Preface
Chris Biemann, André Freitas, Siegfried Handschuh, Elisabeth Métais, Farid Meziane
Data Knowl. Eng.5
2015 An Adaptable and Personalised E-Learning System Based on Free Web Resources
Eiman Aeiad, Farid Meziane
NLDB2
2014 Preface
Farid Meziane, Elisabeth Métais
Data Knowl. Eng.1
2012 Arabic Rhetorical Relations Extraction for Answering "Why" and "How to" Questions
Jawad Sadek, Fairouz Chakkour, Farid Meziane
NLDB3
2006 Application of natural language to information systems (NLDB04)
Farid Meziane, Elisabeth Métais
Data Knowl. Eng.1
2004 A document management methodology based on similarity contents
abstract
The advent of the WWW and distributed information systems have made it possible to share documents between different users and organisations. However, this has created many problems related to the security, accessibility, right and most importantly the consistency of documents. It is important that the people involved in the documents management process have access to the most up-to-date version of documents, retrieve the correct documents and should be able to update the documents repository in such a way that his or her document are known to others. In this paper we propose a method for organising, storing and retrieving documents based on similarity contents. The method uses techniques based on information retrieval, document indexation and term extraction and indexing. This methodology is developed for the E-Cognos project which aims at developing tools for the management and sharing of documents in the construction domain.
Farid Meziane, Yacine Rezgui
Inf. Sci.1
2003 Extracting Unstructured Information from the WWW to Support Merchant Existence in eCommerce
Farid Meziane, Mohd Khairudin Kasiran
NLDB1
2002 A Method for Maintaining Document Consistency Based on Similarity Contents
Farid Meziane, Yacine Rezgui
NLDB1