Additional Content
Main Content
AItools
Synopsis
AItools is a dedicated tool suite to address text-based information retrieval tasks and is currently developed and maintained at the Web Technology and Information Systems Group, Bauhaus University Weimar. The suite comprises basic and advanced algorithms, data structures, and design patterns to model complex real-world retrieval processes. The following figure illustrates typical steps of an AItools processing pipe.
The solution of information retrieval problems requires highly developed skills from various computer science areas. Main objective of the AItools project is both to simplify the development and to minimize time to market of new information retrieval technology. Key issues from a software engineering viewpoint are the provision of approved solutions, a unified interface to algorithms, rapid prototyping, and experiment automation.
Project Outline
Each gray cell in the table below corresponds to a software component, whereas the colored cells name classes of a component. The components are organized, from left to right, with respect to the following five functional areas (the colors indicate these areas):
- Acquisition [aq]
- Information Extraction [ie]
- Information Retrieval [ir]
- Data Mining [dm]
- Information Visualization [iv]
The cells in the table are hyperlinked: clicking on a colored cell, a gray cell, or an area frame will open the Java documentation for the respective class, component, or area. The drop-down box "Filter..." hides and unhides classes with respect to the chosen filter criterion.
People
- Benno Stein
- Martin Potthast
- Maik Anderka
- Nedim Lipka
- Tim Gollub
- Sven Meyer zu Eissen
Content signature
© Fakultät Medien 02.09.2010 / Kontakt / Impressum / Bemerkung zu dieser Seite




