Survey and Classification of Methods for Building a Semantic Annotation

Abstract

Though Arabic is one of the five most spoken languages, little work has been done on building Arabic semantic resources. Currently, there is no agreed-upon method for building such a reliable Arabic semantic resource. The purpose of this paper is to present a comprehensive survey of different methods for building or enriching Arabic semantic resources; to study and analyze each method; and to categorize the methods according to their properties. This work should contribute to the definition of new methods and help researchers on Arabic semantics to fit their work in the panel of existing ones.

Authors and Affiliations

Georges Lebbos, Abd El Salam Al Hajjar, Gilles Bernard, Mohammad Hajjar

Keywords

Related Articles

A Generic Methodology for Clustering to Maximises Inter-Cluster Inertia

This paper proposes a novel clustering methodology which undeniably manages to offer results with a higher inter-cluster inertia for a better clustering. The advantage obtained with this methodology is due to an algorith...

Linking Context to Data Warehouse Design

Data warehouses are now widely used for analysis and decision support purposes. The availability of software solutions, which are more and more user-friendly and easy to manipulate has made it possible to extend their us...

Biometric Recognition using Area under Curve Analysis of Electrocardiogram

In this paper, we introduce a human recognition system that utilizes lead I electrocardiogram (ECG). It proposes an efficient method for ECG analysis that corrects the signal and extract all major features of its wavefor...

Clustering Student Data to Characterize Performance Patterns 

Over the years the academic records of thousands of students have accumulated in educational institutions and most of these data are available in digital format. Mining these huge volumes of data may gain a deeper insigh...

Parallel Architecture for Face Recognition using MPI

The face recognition applications are widely used in different fields like security and computer vision. The recognition process should be done in real time to take fast decisions. Princi-ple Component Analysis (PCA) con...

Download PDF file
  • EP ID EP259888
  • DOI 10.14569/IJACSA.2017.081264
  • Views 97
  • Downloads 0

How To Cite

Georges Lebbos, Abd El Salam Al Hajjar, Gilles Bernard, Mohammad Hajjar (2017). Survey and Classification of Methods for Building a Semantic Annotation. International Journal of Advanced Computer Science & Applications, 8(12), 484-490. https://europub.co.uk/articles/-A-259888