SAAT: A Manual Annotation Tool for the Arabic Content Authoring

Abstract

The Semantic Web (SW) approach actually founded by the actual mass of metadata availability and the representation of data with a proper knowledge. In order to achieve this approach it is necessary to generate metadata that is specific, easy to understand, structured and well defined. Up to now semantic annotation (SA) of a Web document is the effective way to make the SW vision a reality. This paper introduces proof of concept and two case studies of a manual Arabic annotation tool called SAAT that is used for embedding rich metadata within Arabic Web documents to markup the Web pages toward the enrichment process of the Arabic content. This tool is created using the JavaScript and PHP programming language to add Resource Description Framework in Attributes or RDFa metadata for Web pages. The RDFa will make the Arabic Web pages content more structured and machine processable. By using the SAAT tool, we hope to contribute toward the vision of the SW and open the field for Arabic Semantic Web research.