Edinburgh Napier University

  Educational data is growing continuously. This huge amount of data that is scattered and come from different resources with different formats usually is noisy, duplicated, inconsistent, and unorganized. These data can be more efficient and usable when it is processed using semantic web technologies that can transfer data to be readable, understandable, processable by machines and executed to produce accurate decisions that can solve many educational challenges. This study concentrated on the challenge of allocating the best appropriate academic teacher to teach a specific course based on the research area of interests. A university ontology is developed to model the semantics of the courses and academic profiles to solve the chosen challenge.