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Since the advent of Semantic Web in late 90’s, numerous websites took advantage from the capabilities provided by the semantic web technologies, such as the language support, techniques used, and semantic search capabilities. These capabilities encompass smart reasoning over facts and numbers, semantic search and facts and numbers interoperability. However, most semantic web technologies are dedicated to processing Latin scripts, thus the niche for providing Arabic script support in these technologies. This paper describes the design and implementation of an Arabic semantic web retrieval engine named SemARAB that employs semantic ontology. SemARAB enable users to search based on keyword semantic through an easy to use visual search interface. To provide an effective retrieval and to tackle problems in Arabic language processing, the tool was built based on semantic similarity between concepts of specific ontology and content-based similarity for different resources. The model is implemented for searching on the “electronic commerce” domain, and evaluation is done based on this.