no code implementations • 18 Nov 2015 • Joerg Schoenfisch, Janno von Stulpnagel, Jens Ortmann, Christian Meilicke, Heiner Stuckenschmidt
We propose a new approach for calculating the root cause for an observed failure in an IT infrastructure.
no code implementations • WS 2019 • Yanjie Wang, Daniel Ruffinelli, Rainer Gemulla, Samuel Broscheit, Christian Meilicke
In this paper, we explore whether recent models work well for knowledge base completion and argue that the current evaluation protocols are more suited for question answering rather than knowledge base completion.
no code implementations • 9 Apr 2020 • Christian Meilicke, Melisachew Wudage Chekol, Manuel Fink, Heiner Stuckenschmidt
In this paper, we are concerned with two extensions of AnyBURL.
1 code implementation • 10 Dec 2020 • Simon Ott, Laura Graf, Asan Agibetov, Christian Meilicke, Matthias Samwald
SAFRAN yields new state-of-the-art results for fully interpretable link prediction on the established general-purpose benchmark FB15K-237 and the large-scale biomedical benchmark OpenBioLink.
no code implementations • AKBC 2021 • Christian Meilicke, Patrick Betz, Heiner Stuckenschmidt
We compare a rule-based approach for knowledge graph completion against current state-of-the-art, which is based on embbedings.
1 code implementation • AKBC 2021 • Simon Ott, Christian Meilicke, Matthias Samwald
SAFRAN yields new state-of-the-art results for fully interpretable link prediction on the established general-purpose benchmarks FB15K-237, WN18RR and YAGO3-10.
Ranked #5 on Link Prediction on FB15k-237
no code implementations • 1 Sep 2023 • Patrick Betz, Stefan Lüdtke, Christian Meilicke, Heiner Stuckenschmidt
Rule learning approaches for knowledge graph completion are efficient, interpretable and competitive to purely neural models.
no code implementations • EMNLP (Eval4NLP) 2020 • Kiril Gashteovski, Rainer Gemulla, Bhushan Kotnis, Sven Hertling, Christian Meilicke
First, we investigate OPIEC triples and DBpedia facts having the same arguments by comparing the information on the OIE surface relation with the KB rela- tion.