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Hermann Kroll

General

Hermann Kroll, M.Sc.




Phone: +49 (531) 391 3103
Email: kroll@ifis.cs.tu-bs.de
Room: 216

Detail

PhD Student working on narrative intelligence.

 

Short CV:

2017 - now: PhD Student

2015 - 2017: Master of Science in Computer Science at Leibniz University Hannover (Relational Similarity in the Matching Process for Graph Databases)

2012 - 2015: Bachelor of Science in Computer Science at Leibniz University Hannover (Detection of substructures of the acetabulum on 3D-Pelvi Models)

Teaching

Semester Role Lecture
Winter 2019 assistant Relational Database Systems 1
Summer 2019 assistant Softwareentwicklungspraktikum (Music Tinder)
Summer 2019 assistant Relational Database Systems 2
Winter 2018 assistant Relational Database Systems 1

Supervised Thesis

Thesis Type Date Title
Master Thesis Ongoing Sent2Vec: Comparing Story Traces on PubMed 
Master Thesis Ongoing Analysis of Context-Compatibility on Pubmed Articles
Bachelor Thesis 07/2019 Event Detection of narrative Structures in Wikipedia Articles
Research Project 03/2019 SemmedDB: Comparing Entities using Similarity Measures
Bachelor Thesis 01/2019 Rule Mining on Knowledge Graphs
Bachelor Thesis 01/2019 Pattern Recognition for Time Series - A Rosetta Case Study
Project 01/2019 Narrative Structure Discovery
Publications
2019
Mennicke, S., J. - C. Kalo, D. Nagel, H. Kroll, and W. - T. Balke, "Fast Dual Simulation Processing of Graph Database Queries", IEEE 35th International Conference on Data Engineering (ICDE), Macau, China, IEEE, 04/2019. Abstract  Download: ICDE2019-MKNKB-Camera-Ready.pdf (399.3 KB)
2018
Kroll, H., D. Nagel, and W. - T. Balke, "BAFREC: Balancing Frequency and Rarity for Entity Characterization in Open Linked Data", Proceedings of the ACM CIKM 2018 Workshops, Turin, Italy, 10/2018. Abstract  Download: eyre2018-kroll-BAFREC-camera-ready.pdf (570.25 KB)
Mennicke, S., J. - C. Kalo, D. Nagel, H. Kroll, and W. - T. Balke, "Fast Dual Simulation Processing of Graph Database Queries (Supplement)", CoRR, Technical Report, vol. 1810.09355: arxiv.org, 10/2018.  Download: 1810.09355.pdf (321.93 KB)