Event

ISE video channel on youtube: https://www.youtube.com/channel/UCjkkhNSNuXrJpMYZoeSBw6Q/

The ISE project lab is based on the summer semester lecture "Information Service Engineering". Goal of the course is to work on a given research problem in small groups (3-4 students) related to the ISE lecture topics, i.e. Natural Language Processing, Knowledge Graphs, and Machine Learning. The solution of the given research problem requires the development of a software implementation. 

The project will be worked on in teams of 3-4 students each, guided by a tutor from the teaching staff. 

Required coursework includes:

• Mid term presentation (5-10 min)
• Final presentation (10-15 min)
• Course report (c. 20 pages)
• Participation and contribution of the students during the course
• Software development and delivery

Notes:

The ISE project lab can also be credited as a seminar (if necessary).

The project will be worked on in teams of 3-4 students each, guided by a tutor from the teaching staff. 

Participation will be restricted to 15 students.

Participation in the lecture "Information Service Engineering" (summer semester) is required. There are video recordings on our youtube channel.

ISE Tutor Team:

• M. Sc. Russa Biswas
• M. Sc. Oleksandra Bruns 
• M. Sc. Genet Asefa Gesese
• M. Sc. Fabian Hoppe
• M. Sc. Mary Ann Tan
• B. Sc. Tabea Tietz
• M. Sc. Mahsa Vafaie 

WS 2022/23 Tasks List:

• Task 1: Linking Entities from Images to Knowledge Graphs
  How to establish a Mapping between IconClass Classes (from Visual Analysis) and (semantic) DBpedia Classes
• Task 2: Exploring NLP Technologies for Cultural Knowledge Graph Engineering
  Construction of a Knowledge Graph from Biographies of the Mitteilungen des Vereins für Geschichte der Stadt Nürnberg"
• Task 3: Information Extraction and Knowledge Graph Engineering on the Use Case of Historical Political Flyers
  Construction of a Knowledge Graph from political leaflets of the Weimar Republic
• Task 4: Exploring Connections between Heterogeneous Historical Documents
  How to find connections between political leaflets, newspaper articles, and parlamentary debates from the Weimar Republic
• Task 5: Exploring Knowledge Graph Entity Alignment for Library Objects
  How can we align the Millions of books from the German Digital Library to a given Reference Base of works
• Task 6: Sentiment Analysis on Multilingual Wikipedia
  How do different language Versions of Wikipedia differ in terms of Sentiment Bias
• Task 7: Visualize your Mind
  Interactive Visualization of Vector Embedding Spaces for Deep Learning Experiments
• Task 8: Knowledge Graph Construction for Archival Objects
  Construction of a Knowledge Graph from 1.3 Mio Archival Objects from the German Digital Library