A large portion of an enterprise's strategically relevant information is contained in text documents. No matter if you look for patents, product descriptions, meeting minutes, letters from your customers, or articles from the trade press: You'll have a hard time getting an overview of the huge amount of unstructured information. Single documents may have many hidden but valuable relationships. But that's not all: Your text data is related to many other pieces of information, like product or project data, customer records, human resources and departments.
Fraunhofer-FIT's text- and data analysis tool SWAPit not only visualises semantic relationships among text documents. It also clearly arranges all associated information on a single screen! This gives you an X-ray view for your document archives. Using your intuition and experience you'll be able to exploit the full potential of your knowledge:
SWAPit has been successfully used in many applications, e. g.
Central component of SWAPit is the DocMINER text mining engine, a technology that automatically detects relationships within text collections and generates graphical overviews (document maps). DocMINER makes it comfortable to find a way through the mass of information. Documents can be linked to relational data from databases and taxonomies (catalogues), thus complementing the overall picture of available knowledge.
SWAPit combines state-of-the-art methodologies from statistics, retrieval, artificial intelligence and visualisation. SWAPit's modular architecture turns the integration into existing infrastructures (e.g. company portals) basically into a matter of customisation. A thin client is served by web services for analysis, visualisation and interaction. Inter-service communication is XML-based (SOAP protocol). The graphical user interface is realised in Java™ technology, making the approach independent of operating system and browser.