AraTation: an Arabic semantic annotation tool

Authors:
Layan M. Bin Saleh;Hend S. Al-Khalifa
Affiliations:
King Saud University, Riyadh, Saudi Arabia;King Saud University, Riyadh, Saudi Arabia
Venue:
Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services
Year:
2009

Citing 4
Cited 0

QARAB: a question answering system to support the Arabic language

SEMITIC '02 Proceedings of the ACL-02 workshop on Computational approaches to semitic languages
Web Semantics Ontology

Web Semantics Ontology
The Ontology Relation Extraction for Semantic Web Annotation

CCGRID '08 Proceedings of the 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid
Improved morphological decomposition for Arabic broadcast news transcription

ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

To achieve the vision of the semantic web, web pages need to be transformed into a machine-processable form to enable computers understand them. This vision can be reached by using a common technique of web page annotation. Web page annotation is considered one of the effective techniques for relating text to knowledge representation artifacts. In this paper we present an Arabic semantic annotation tool called AraTation for semantically annotating Arabic News content on the web. This tool is constructed using the Java programming language and OWL ontologies to produce RDF metadata for web pages. The RDF standard will make the annotated Arabic web pages reusable and machine processable on the web. By using the AraTation tool, we can contribute to the vision of the semantic web and open the field for Arabic semantic web research.