31 citations · 34 across the 4 of their papers we have counts for
5 papers · 1 filter
Reevaluation of Inductive Link Prediction
Simon Ott, Christian Meilicke, Heiner Stuckenschmidt
Within this paper, we show that the evaluation protocol currently used for inductive link prediction is heavily flawed as it relies on ranking the true entity in a small set of ran…
xRAI: Explainable Representations through AI
Christiann Bartelt, Sascha Marton, Heiner Stuckenschmidt
We present xRAI an approach for extracting symbolic representations of the mathematical function a neural network was supposed to learn from the trained network. The approach is ba…
Reinforced Anytime Bottom Up Rule Learning for Knowledge Graph Completion
Christian Meilicke, Melisachew Wudage Chekol, Manuel Fink +1
Most of todays work on knowledge graph completion is concerned with sub-symbolic approaches that focus on the concept of embedding a given graph in a low dimensional vector space.…
Towards Log-Linear Logics with Concrete Domains
Melisachew Wudage Chekol, Jakob Huber, Heiner Stuckenschmidt
We present (M denotes Markov logic networks) an extension of the log-linear description logics -LL with concrete domains, nominals, and inst…
Evaluating Ontology Matching Systems on Large, Multilingual and Real-world Test Cases
Christian Meilicke, Ondrej Sváb-Zamazal, Cássia Trojahn +4
In the field of ontology matching, the most systematic evaluation of matching systems is established by the Ontology Alignment Evaluation Initiative (OAEI), which is an annual camp…