Program (Final)


Keynote: Welf Wustlich (Planet AI)Keynote: Prof. Dr. Mirjam Minor (U Frankfurt)
10:00Coffee breakCoffee break
Parallel Sessions 1

Parallel Sessions 3
Parallel Sessions 2

Parallel Sessions 4

14:30Keynote: Prof. Dr. Eirini
Ntoutsi (U Hannover)
Keynote: Prof. Dr. Carsten
Binnig (TU Darmstadt)
Joint Research Session 2
15:30Coffee breakCoffee breakClosing
16:00Joint Research
Session 1
Community Meetings

17:00Walking to Social Event
17:30Free - hotel check-in
and poster setup time
Social Event
(Stadtführung) +
Self-organised dinner
18:30Poster Session
+ Fingerfood


Joint Research Session 1:

Paper 7: Andreas M. Wahl and Richard Lenz. Analyzing SQL Query Logs using Multi-Relational Graphs

Paper 34: Farjad Adnan, Karlson Pfannschmidt and Eyke Hüllermeier. Shapley Curves: A new concept for modelling feature importance

Paper 16: Moritz Flöter, Pascal Reuss, Johannes Ude and Klaus-Dieter Althoff. Improving Taxonomy Maintenance: Automated Splitting and Merging of Taxonomies  


Joint Research Session 2:

Paper 27: Yasunobu Imamura, Naoya Higuchi, Tetsuji Kuboyama, Koichi Hirata and Takeshi Shinohara. Pivot Selection for Dimension Reduction Using Annealing by Increasing Resampling

Paper 46: Felix Borutta, Julian Busch, Evgeniy Faerman and Matthias Schubert. Towards Learning Structural Node Embeddings using Personalized PageRank



Session 1 - Sequential Data
Paper 2: Malte Flender and Carsten Gips - Sentiment analysis of a German Twitter-Corpus

Paper 36: Martin Becker, Philipp Singer, Florian Lemmerich, Markus Strohmaier and Andreas Hotho - MixedTrails: Bayesian Hypothesis Comparison Heterogeneous Sequential Data

Paper 39: Sayan Pal, Ammar Shaker and Eyke Hüllermeier - Predicting Tags for Stack Overflow Questions

Paper 8: Nghia Duong-Trung, Nicolas Schilling and Lars Schmidt-Thieme - Finding Hierarchy of Topics from Twitter Data

Session 2 - Clustering & Decision Trees
Paper 12: Daniel Beneker and Carsten Gips - Using Clustering for Categorization of Support Tickets

Paper 26: Thomas Niebler, Martin Becker, Christian Pölitz and Andreas Hotho - Learning Semantic Relatedness from Human Feedback using Metric Learning

Paper 20: Aleksandar Bojchevski, Yves Matkovic and Stephan Günnemann - Robust Spectral Clustering for Noisy Data

Paper 33: Christina Zeller and Ute Schmid A Human Like Incremental Decision Tree Algorithm: Combining Rule Learning, Pattern Induction, and Storing Examples

Session 3 - MF / Embedding
Paper 44: Rafet Sifa, Cesar Ojeda, Kostadin Cvejoski and Christian Bauckhage - Interpretable Matrix Factorization with Stochastic Nonnegative DEDICOM

Paper 37: Sibylle Hess, Nico Piatkowski and Katharina Morik - PRIMPing Boolean Matrix Factorization by Proximal Alternating Linearized Minimization

Paper 3: Sebastian Mair, Ahcène Boubekki and Ulf Brefeld - Frame-based Matrix Factorization

Paper 38: Eduardo Brito, Rafet Sifa and Christian Bauckhage - KPCA Embeddings: an Unsupervised Approach to Learn Vector Representations of Finite Domain Sequences

Session 4 - Ranking
Paper 35: Pritha Gupta, Alexander Hetzer, Tanja Tornede, Sebastian Gottschalk, Andreas Kornelsen, Sebastian Osterbrink, Karlson Pfannschmidt and Eyke Hüllermeier - jPL: A Java-based Software Framework for Preference Learning

Paper 14: Florian Lemmerich, Philipp Singer, Martin Becker, Lisette Espín-Noboa, Dimitar Dimitrov, Denis Helic, Andreas Hotho and Markus Strohmaier A Bayesian approach for comparing hypotheses about sequential data and its applications

Paper 40: Dirk Schäfer - A Latent-Feature Plackett-Luce Model for Dyad Ranking Completion

Paper 32: Mohsen Ahmadi Fahandar and Eyke Hüllermeier - Learning to Rank based on Analogical Reasoning



Session 1
Paper 15: Jan-Christoph Kalo, Christoph Lofi, René Pascasl Maseli and Wolf-Tilo Balke - Semantic Query Processing: Estimating Relational Purity

Paper 28: Araek Tashkandi and Lena Wiese - Leveraging Patient Similarity Analytics in Personalized Medical Decision Support System

Paper: 30: Johannes Goltz, Hannes Grunert and Andreas Heuer - De-Anonymisierungsverfahren: Kategorisierung und Anwendung für Datenbankanfragen

Session 2
Paper 45: Martin Lichtwark, Holger Meyer and Andreas Heuer - Einsatzmöglichkeiten von Crowdsourcing im Umfeld des Mecklenburgischen Flurnamenarchivs

Paper 43: Stephan Mennicke, Denis Nagel, Jan-Christoph Kalo, Niklas Aumann and Wolf-Tilo Balke - Reconstructing Graph Pattern Matches Using SPARQL

Session 3
Paper 42: Ilvio Bruder, Andreas Heuer, Sebastian Schick and Sascha Spors - Konzepte für das Forschungsdatenmanagement an der Universität Rostock

Paper 1: Stefan Bäuerle and Alexander Böhm - Bringing computation to the data(base) with Core Data Services (CDS)

Paper 29: Jürgen Bittner - Enterprise-Datenbank – vergessen, oder?



Session 1
Paper 6: Christian Zeyen, Gilbert Müller and Ralph Bergmann. Conversational Process-Oriented Case-Based Reasoning

Paper 19: Eric Rietzke, Ralph Bergmann and Norbert Kuhn. Adaptive Business Process Visualization for a Data and Constraint-Based Workflow Approach

Paper 21: Andrea Kohlhase, Michael Kohlhase and Michael Fürsich. Visual Structure in Mathematical Expressions

Paper 22: Gamze Ucar and Andrea Kohlhase. Irreführende mentale Modelle beim Smart-TV 

Session 2

Paper 18: Lisa Grumbach and Ralph Bergmann. Workflow Flexibility by Deviation by means of Constraint Satisfaction Problem Solving

Paper 31: Viktor Ayzenshtadt. Current State and Further Development of a Case-Based Framework for Early Phases of Architectural Conceptual Design

Paper 47: Kerstin Bach, Tale Prestmo, Agnar Aamodt and Paul Jarle Mork. Evolutionary Inspired Adaptation of Exercise Plans for Increasing Solution Variety

Session 3
Paper 4: Thomas Niebler, Luzian Hahn and Andreas Hotho. Learning Word Embeddings from Tagging Data: A methodological comparison

Paper 17: Michael Leyer and Susanne Durst. Structuring Digital Options towards reducing the Struggle of Finding the Needle in the Digital Haystack

Paper 25: Michael Kohlhase. Math Object Identifiers – Towards Research Data in Mathematics



Session 1

Paper 23: Andreas Henrich and Markus Wegmann. Searching an Appropriate Journal for your Paper – an Approach Inspired by Expert Search and Data Fusion

Paper 13: Ralf Krestel and Julian Risch. How Do Search Engines Work? A Massive Open Online Course with 4000 Participants

Paper 9: Zhe Zuo, Michael Loster, Ralf Krestel and Felix Naumann. Uncovering Business Relationships: Context-sensitive Relationship Extraction for Difficult Relationship Types