AQUA, a system assisting labelling experts assess health web resources

Users visiting health related web sites would be served best if they knew whether these sites meet a minimum level of quality standards. However manually labelling health resources is a tedious task. Based upon state-of-the-art technology in the areas of semantic web, content analysis and labelling, the MedIEQ project integrates existing technologies and tests them in a novel application: AQUA, a system aiming to automate parts of the labelling process in health-related web content. AQUA provides tools that enable the creation of machine readable labels, tools that crawl the web to locate unlabelled health web resources, suggest labels for them according to predefined labelling criteria and monitor them. This paper describes the current status in the area of health information labelling and explains step-by-step how AQUA paves the way towards the automation of the labelling process.