Involving the User in Semantic Search

Retrieval systems have become one of the most used categories of computer tools. Yet the interfaces of modern information retrieval systems fail to address the correlation between the user's context and her information need. Furthermore, they usually do not integrate methods that allow whole communities or groups of users to profit of single retrieval instances. In this paper, we present our vision of an innovative, collaborative information retrieval and presentation approach based on the human factors balance model. Our approach combines automatic natural language processing results with handcrafted knowledge models and integrates implicit retrieval based on intelligent document segmentation and presentation, providing users with contextually relevant information.