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Current research projects of our chair

Semantic Search

We research new methods for semantic search. As part of our research we have developed a prototype for semantic full-text search: Broccoli. It combines typical full-text search with search in structured data. Search queries can consist of four different objects: normal words (e.g. "edible"), classes (e.g. "plant"), instances (e.g. "Broccoli") and relations (e.g. "native-to"). A prototype of the system is available here: http://broccoli.informatik.uni-freiburg.de

A paper describing the system can be found here. You can also read about the index and NLP behind the system.


Route Planning

The goal of this project is to enable efficient computation of journeys in public transportation networks, considering different modi of transportation (bus, train, subway, taxi, etc.), complex cost functions (including travel time, number of transfers, taxi costs) and realistic features like traffic and delay handling. A prototype for multi-modal and multi-criteria route planning for the Freiburg network can be found here.

Papers investigating certain problem aspects, like computing diverse sets of journeys or evaluating the delay robustness of route planning techniques can be found  here and here.

This project is supported by a Google Focused Research Award.


Research Paper Bibliographies and Management

We are developing Icecite, a research paper management system. In particular, Icecite performs automatic extraction of meta-data (title, authors, venue) and references with very high accuracy. It also features one-click download of papers in the bibliography. A prototype is available here.

We are also working on making bibliographical data more easily accessible. We maintain an instance of CompleteSearch, our powerful technology for fast search-as-you-type search, for the DBLP bibliography of computer science articles. You can find an instance here. Hannah Bast is currently speaker of the DBLP advisory board.

A paper describing the system can be found here.


Motion Capture (German Excellence Initiative)

This is a project with the BrainLinks BrainTools cluster of excellence. Using body sensors, we capture motion data from Parkinson patients as well as from healthy subjects. Our goal is the automatic extraction of features valuable for clinical use, in particular for diagnosis and for the calibration of devices for deep brain stimulation.



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