Text mining and multimedia search in a large content repository

Methods of acquiring, seeking and processing knowledge are a strategically vital issue in the context of globalized competition. One of the main subjects currently being researched is the development of semantic technologies that are capable of recognizing and classifying the content and meaning of information (words, pictures or sounds). In the context of the joint project CONTENTUS we show how different text mining techniques in a workflow are able to extract useful semantic information from text. In a comprehensive multimedia search engine these annotations together with text, metadata, and semantic clues extracted from multimedia documents (speech, music, video) may be used to give more focused access to information.