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---
layout: system
menu_title: TGView3D
shorttitle: TGView3D
title: The TGView3D Graph Viewer
teaser: An interactive 3D graph viewer optimized for visualizing Theory Graphs and mathematical knowledge in general
start_date: '2018'
people:
- mkohlhase
- frabe
- dmueller
- rmarcus
supported-by:
- odk
website: https://tgview3d.mathhub.info/
repository: https://github.com/UniFormal/tgview3d
publink: https://kwarc.info/people/mkohlhase/submit/cicm20-tgview3D.pdf
---
The TGView3D System is a 3D-theory graph viewer in the Unity Engine.
Different layouts and highlighting settings are available to visualize the complex theory graphs efficiently.
In particular, this allows exploration of big mathematical libraries, e.g, those related to theorem provers like Coq or Isabelle.
Furthermore, we have a virtual reality protoype to allow intuitive and immersive interactions.
*For students*: Topics for theses and projects are available [here](https://gl.kwarc.info/kwarc/thesis-projects/-/issues?label_name%5B%5D=Graph+Visualization).
\ No newline at end of file
---
layout: course
instructor: Prof. Dr. Michael Kohlhase
title: Projekt zur Künstlichen Intelligenz
menu_title: KI-Projekt
taught: WS16/17, SS16
---
The KWARC group (Wissensrepräsentation und Verarbeitung)conducts research in knowledge
representation and reasoning techniques with a view towards applications in knowledge
management. We extend techniques from formal methods so that they can be used in settings
where formalization is either infeasible or too costly. We concentrate on developing
techniques for marking up the structural semantics in technical documents. This level of
markup allows for offering interesting knowledge management services without forcing the
author to formalize the document contents. In contrast to courses with fixed topics,
project topics are defined individually.
See the [KWARC home page](http://kwarc.info) for a general introduction to the research
and [the KWARC research topics list](http://gl.kwarc.info/kwarc/thesis-projects) for
expemplary topics.
---
layout: course
instructor: Prof. Dr. Michael Kohlhase
title: Vorlesung *Logik-Basierte Wissensrepräsentation für Mathematisch/Technisches Wissen*
menu_title: Vorlesung KRMT
taught: SS16/17
---
Dieser Kurs behandelt Grundlagen der Mathematik, Modulare Formalisierung in
Theoriegraphen, Narrative Strukturen in informellen mathematisch/technischen Dokumenten,
Formalisierung von Logiksprachen in Metalogiken.
Da wir nur wenige Studenten erwarten, wollen wir diesen Kurs sehr interaktiv und
Projektorientiert aufbauen.
---
layout: course
instructor: Prof. Dr. Michael Kohlhase
title: Künstliche Intelligenz I
menu_title: Künstliche Intelligenz I
taught: WS16
---
Diese Vorlesung beschäftigt sich mit den Grundlagen der Künstlichen Intelligenz (KI), insbesondere formale Wissensrepräsentation, Heuristische Suche, Automatisches Planen und Schliessen unter Unsicherheit.
---
layout: course
instructor: Prof. Dr. Michael Kohlhase
title: Künstliche Intelligenz II
menu_title: Künstliche Intelligenz II
taught: SS16/17
---
Dieser Kurs beschäftigt sich mit den Grundlagen der Künstlichen Intelligenz (KI), insbesondere mit Techniken des Schliessens unter Unsicherheit, des maschinellen Lernens und dem Sprachverstehen.
Der Kurs baut auf der Vorlesung Künstliche Intelligenz I vom Wintersemester auf und führt diese weiter.
---
layout: course
instructor: Prof. Dr. Michael Kohlhase
title: Seminar Wissensrepräsentation und -verarbeitung
menu_title: Seminar WuV
---
This seminar covers topics from knowledge representation and knowledge processing, mostly
with a focus on mathematical knowledge.