Knowledge Processing
Turning text documents into intelligent information resources
This shifts the focus from merely locating information to much more meaningful and intelligent, machine-based processing of the information itself:
- related passages in different documents automatically link themselves to one another
- output is presented to the user in widely customizable layout, format, and media
- mathematical and statistical analysis can be performed on numerical information embeded in text documents
- and much, much more!
We work from and with the textual information itself, instead of simply storing documents. And we seek to make the actual information contained in documents accessible instead of merely cataloging the whereabouts of the document.
It is our strict orientation towards meaningful and intelligent use of textual data that differentiates our approach and our methods fundamentally from those commonly applied today throughout the IT-industry.
We are convinced that our methods are ultimately much more organic, more intelligent, and much more efficient in dealing with textual information. Our approach is informed by experience, research, and a long scholarly tradition in areas such as qualitative data analysis, textual analysis, philology, semantics, and semiology.
Our approach combines the following positions and methods:
- Automated analysis, linking, transformation, and user-oriented presentation of text-based data
- We use intelligent technology to transform information lying dormant in countless text files into highly efficient, broadly usable, and dynamically linked hypertext databases. After such treatment, nearly any imaginable application can be realized from the previously useless text data: automated presentation online to professional print edition to innovative, specialized developed interactive products, all in accordance with the requirements of your job.
-
Experience for yourself the simply phantastic increase in efficieny when textual data begins to "intercommunicate":
- text passages mutually explain one another (information stored anywhere within the reach of the system is automatically drawn on for the explanation of the current text fragment);
- texts lay open their argumentative structures;
- texts facilitate the analysis of their content using visual means.
- If you analyze your data with XML-aware and XML-capable QDA software like ATLAS.ti, we build the perfect interfaces to integrate and consolidate your work: publish your findings immediately online and offline, professionally designed and with extremely user-friendly navigation--without any extra steps. Export your ATLAS.ti data straight to almost any other application. Or develop with our help completely new applications and explore new uses for your ATLAS.ti data!
- Comprehensive capabilities and instruments for the analysis and exploitation of large text bodies - explore structural, linguistic, or many other criteria.
- Tools and techniques leveraged on your project include: Text mining techniques, regular expression search engines, indexing engines, document markup and transformation engines, mind mapping, topicMaps and data visualization, qualitative data analysis, content management systems, as well as dynamic conversion of documents from SGML-derivative formats (XML, DocBook, etc.) to nearly any other format (incl. PDF, PS, LaTeX, RTF etc.)
- The skills and qualifications we can leverage on your project include: substantial expertise in textual analysis, semantics, narratology, interactive data processing, qualitative data analysis, digital data processing and multimedia authoring, general data processing incl. database programming, document markup, docment frameworks, as well as professional Web and print design