Jan-Christoph Kalo

General

Jan-Christoph Kalo, M.Sc.



Technische Universität Braunschweig
Institut für Informationssysteme
Mühlenpfordtstraße 23, 2.OG 
D-38106 Braunschweig


Phone: +49 (531) 391 3102
Email: kalo@ifis.cs.tu-bs.de
Room: IZ 219

Detail

I am a PhD student working with everything around Knowledge Bases. My main area of interetest is the extraction of semantic information from heterogeneous and sparse knowledge graphs. In that area I employ rule-based approaches and latent feature models to gain insights into large knowledge graphs to extract schema-like information. 

My current research interests focus on:

  • Knowledge Base Querying under Sparsity and Heterogeneity
  • Knowledge Base Completion
  • Schema Mining in Knowledge Graphs

Short CV

2014 - now        : Researcher at Institute for Information Systems, Braunschweig University of Technology
2012 - 2014       : Master of Science in Computer Science at Braunschweig University of Technology (grade: with honors)
                          Master's Thesis: Analyzing the Transitivity Problem in Instance Matching Tasks on Linked Data (grade: very good)
2008 - 2012       : Bachelor of Science in Computer Science at Braunschweig University of Technology
                          Bachelor's Thesis: Variants of the Fixed-Throw Snowblower Problem (grade: very good)

 

Teaching

Semester Role Lecture
Summer 2018 assistant Knowledge Based Systems and Deductive Databases
Winter 2017/18 assistant Relational Databases 1
Summer 2017 assistant Softwareentwicklungspraktikum (Trumps Up)
Winter 2016 assistant Relational Database Systems 1
Summer 2016 assistant Relational Database Systems 2
Winter 2015 assistant Linked Open Data SeminarRelational Database Systems 1
Summer 2015 assistant Softwareentwicklungspraktikum(SQL Alchemist)
Winter 2014 assistant SQL Praktikum

 

 

Supervised Thesis

Thesis Type Student Name Title
Bachelor Thesis Johannes Ruthmann Anwering SPARQL Queries on Knowledge Embeddings
Bachelor Thesis Patrick Granetzki Comparing Knowledge Embeddings and Association Rule Mining for Knowledge Base Completion
Bachelor Thesis Philipp Ehler Synonym Detection with Knowledge Embeddings
Bachelor Thesis Florian Plötzky Integrating a Causal Knowlege Base into Linked Open Data
Bachelor Thesis Serkan Celik Analyzing Medical Citations in Wikipedia
Bachelor Thesis René Maselil Word Embeddings for Triple Classification
Bachelor Thesis Denis Nagel A SPARQL Approach for Exemplar Queries
Master Thesis Maria Joanna Born Similarity of Types and Attributes in the Semantic Web
Master Thesis Janus Wawrzinek Analyzing Latent Anxiety in Texts
Project Thesis Maria Joanna Born Causality Extraction from Natural Language Texts with Artificial Neural Networks
Bachelor Thesis Rebecca Finster Generalizing Causal Relations Extracted from News Articles
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
2017
Mennicke, S., J. - C. Kalo, and W. - T. Balke, "Querying Graph Databases: What Do Graph Patterns Mean?", The 36th International Conference on Conceptual Modeling (ER), Valencia, Spain, 11/2017. Abstract  Download: ER_2017_cameraready.pdf (520.53 KB)
Mennicke, S., D. Nagel, J. - C. Kalo, N. Aumann, and W. - T. Balke, "Reconstructing Graph Pattern Matches Using SPARQL", 15th Lernen Wissen Daten Analysen (LWDA) Conference, Rostock, Germany, 09/2017. Abstract  Download: LWDA_2017_paper_43_0.pdf (310.62 KB)
Kalo, J. - C., C. Lofi, R. P. Maseli, and W. - T. Balke, "Semantic Query Processing: Estimating Relational Purity", 15th Lernen Wissen Daten Analysen (LWDA) Conference, Rostock, Germany, 09/2017. Abstract  Download: LWDA_2017_paper_15.pdf (1.01 MB)
2015
2014
Homoceanu, S., J. - C. Kalo, and W. - T. Balke, "Putting Instance Matching to the Test. Is Instance Matching Ready for Reliable Data Linking?", 21st International Symposium on Methodologies for Intelligent Systems (ISMIS), Roskilde, Denmark, 2014. Abstract  Download: ismis_homoceanu.pdf (832.92 KB)