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A Semantic Navigation Framework for automatic presentation of ExpertFinder information

The Web, but also for example a digital library, has an intricate topology that makes navigation through resources a tricky task. The mere introduction of Semantic Web technologies won’t automatically solve this task, because the Semantic Web only promotes machine understandability of Web resources by explicitly providing a thick bunch of annotations, thus leaving their interpretation and use to the application. We therefore propose a Navigation Conceptual Model and Semantic Navigation Engine that aim at helping Web surfers in traversing such an intricate hyper-environments, by giving them proper tools that can help them in getting oriented and fulfilling their aims. Our approach makes joint use of Web navigation studies and knowledge management methods. The result is an ontological model of navigation through and presentation of resources and an engine that is able to exploit the model’s semantics. Different and heterogeneous content sources can be mapped at the ontological level to our conceptual model and reach a seamless integration and a better presentation of contents. This approach also lets the Web designers make lever on the resources’ semantics to more easily design navigational paths, by employing the meaning of the visualized resources to improve the effectiveness of the users’ navigation. Our approach therefore can be suitable to navigate through the resources described with metadata defined by the ExpertFinder ontological framework.