Semantic Annotation of Arabic Web Resources using Semantic Web Services

The vision of semantic Web is to have a Web of things instead of Web of documents in a form that can be processed by machines. This vision could be achieved on the existing Web using semantic annotation based on common and public ontologies. Due to exponential growth and huge size of the Web sources, there is a need to have fast and automatic semantic annotation services of Web documents. Since Arabic language received less attention in semantic Web research as compared to Latin languages especially in the field of semantic annotation. This motivates us in this paper to present semantic Web services that support the semantic annotation of Arabic language documents. The services accept documents and ontologies and produce annotations of these documents using different output formats. The proposed services could be used for building semantic Web applications and semantic search engines for Arabic Language. To evaluate the performance of these services, a set of ontologies were used with pre-annotated documents related to those ontologies. The initial results show a promising performance which will support the research in the semantic Web with respect to Arabic language. (C) 2016 The Authors. Published by Elsevier B.V.