What is Content-Based Visual Query

This chapter presents a couple of original e-assessment methods included in the non-commercial e-learning platform developed by the computers and information technology department. The platform has been in use for over 10 years in both University of Craiova and University of Medicine and Pharmacy of Craiova. Thus, two original e-assessment methods specially created for medical e-learning that use a medical imagistic database acquired in patient diagnosis process are presented. These two methods use content-based image query and content-based region query. Furthermore, the chapter aims to present two methods for question generating: a semi-automated method that uses tags and templates defined by professors, while the second one, automated, is based on domain ontologies developed for course content available in the database of the e-learning platform. The next discussed topic refers to an automatic assessment of narrative answers using the space vector model, a technique coming from information retrieval domain.