Answering Controlled Natural Language Questions over RDF Clinical Data

Clinical trial data requires a lot of processing before it can be submitted in accordance with its standardization requirements. After its processing, data has to be stored carefully, often in different systems and formats. Integrating this data without information loss and enabling easy retrieval for later analysis is a highly challenging task. In this demo, we present our system for answering controlled Natural Language questions over RDF clinical data. Questions entered by a user through the proposed interface are annotated on the fly and suggestions are displayed based on an ontology driven auto-completion system. This approach assures a high level of usability and readability while preserving semantic correctness and accuracy of entered questions.