Research Focus
Data is available through many different types of sensors. A single event can generate images, text, numerical data, video, and audio data. Furthermore, an event can be linked to previous knowledge and published works. Common database search engines tend to extract results from single domains and combine the results after the initial searches. The research at Mason is developing methods by which to concurrently query multiple domains. The different types of data interact during the query. The purpose is to identify relationships which are difficult to detect in the current methods.