This thesis presents a new strategy that unites qualitative and quantitative mass data in form of text news and tick-by-tick asset prices to forecast the risk of upcoming volatility shocks. Holger Kömm embeds the proposed strategy in a monitoring system, using first, a sequence of competing...

The similarity relation of a number of texts is important not only for congress organizers (who need to group the proposed contributions to meaningful sessions) but to everybody who wants to find certain information within a larger number of texts. Existing information retrieval methods compare...

Smart information retrieval systems are becoming increasingly prevalent due to the rate at which the amount of digitized raw data has increased, and continues to increase. This is especially true in the medical domain, as there is much data stored in unstructured formats which contain "hidden"...

The maintenance of the domain ontology or a knowledge model after the appearance of changes in the studied domain is an essential stage. Several studies provide methodologies for the maintenance of an ontology but only some of them deal with ontologies that are created from texts. Text mining...