Demonstrators

To make meaningful progress towards the stated goals and to keep our research focused, we have chosen to showcase our results by means of the following three demonstrators. The demonstrators integrate our research across different research areas and research groups, and they serve to showcase our research to industry and the public.

SIP: Software Integration Platform

The Software Integration Platform (SIP) offers a stable, robust, and tested software platform for the demonstrators and research areas of the cluster. It extends the Virtual Environment (VE) demonstrator of the first phase and significantly increases its scope, coverage of modalities, and use across the research areas.

The creation of the SIP was made possible by progress in the first phase. The VE demonstrator was picked up enthusiastically by other research groups as a basis for their demonstrations and as an environment for their research. As the research in the cluster converges further, a more powerful and comprehensive platform is needed. This is exactly what the SIP provides.

The web-based approach of the SIP enables the cluster to make its research results directly available to the research community as well as the general public. It greatly simplifies the use of crowd-sourcing and related approaches for user tests and other research activities. The availability of a stable software platform also encourages uptake of our results by research and industry.

>> read more ...

>> read more ...

Multimodal In-Car Dialog Demonstrator

Our demonstrator implements a multimodal human-machine interface that fuses haptic interaction between the user and the car with speech, gaze, and gesture recognition. The scenario has been intensively worked on at DFKI for several years. The demonstrator has been tailored to the objectives and needs of the Cluster, and is meant to support collaborative use.

>> read more ...

Open-Science-Web Demonstrator

This line of demonstrators primarily builds on scientific results from RA5 and connects them with results from RAs 1 and 3 and the JRGs of Hannah Bast, Sebastian Michel, and Ralf Schenkel.
It is driven by the long-term objective of automatically building and maintaining comprehensive knowledge bases about entities and their semantic classes, relationships between entities, associated multimodal information such as photos, and informative cross-linkage with Web sites and Web 2.0 sources.

>> read more ...

Virtual Environment Demonstrator

The overall goal of the virtual environment demonstrator has been to develop a comprehensive technology platform, integrating as much of the technology developed within the excellence cluster as meaningful and possible, while in return providing useful tools for research within the cluster. In addition, we also want to make the software available for external use by other researchers or even the general public, which requires high quality software design and engineering beyond typical research code.

>> read more ...