Martin Ringsquandl

38 papers A* 2A 1B 4C 2Journal 15Unranked 13
YearRankTypeTitle / Venue / Authors
2025 A* conf
Wiki-TabNER: Integrating Named Entity Recognition into Wikipedia Tables.
SIGIR
Aneta Koleva, Martin Ringsquandl, Ahmed Hatem, Thomas A. Runkler, Volker Tresp
2024 J jnl
Wiki-TabNER: Advancing Table Interpretation Through Named Entity Recognition.
CoRR
Aneta Koleva, Martin Ringsquandl, Ahmed Hatem, Thomas A. Runkler, Volker Tresp
2023 — conf
Adversarial Attacks on Tables with Entity Swap.
VLDB Workshops
Aneta Koleva, Martin Ringsquandl, Volker Tresp
2023 J jnl
Adversarial Attacks on Tables with Entity Swap.
CoRR
Aneta Koleva, Martin Ringsquandl, Volker Tresp
2022 J jnl
Active Learning with Tabular Language Models.
CoRR
Martin Ringsquandl, Aneta Koleva
2022 — conf
Named Entity Recognition in Industrial Tables using Tabular Language Models.
EMNLP (Industry Track)
Aneta Koleva, Martin Ringsquandl, Mark Buckley, Rakebul Hasan, Volker Tresp
2022 J jnl
Named Entity Recognition in Industrial Tables using Tabular Language Models.
CoRR
Aneta Koleva, Martin Ringsquandl, Mark Buckley, Rakebul Hasan, Volker Tresp
2022 J jnl
Task-driven knowledge graph filtering improves prioritizing drugs for repurposing.
BMC Bioinform.
Florin Ratajczak, Mitchell Joblin, Martin Ringsquandl, Marcel Hildebrandt
2021 C conf
A New Concept for Explaining Graph Neural Networks.
NeSy
Anna Himmelhuber, Sonja Zillner, Stephan Grimm, Martin Ringsquandl, Mitchell Joblin, Thomas A. Runkler
2021 J jnl
Combining Sub-Symbolic and Symbolic Methods for Explainability.
CoRR
Anna Himmelhuber, Stephan Grimm, Sonja Zillner, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler
2021 B conf
Combining Sub-symbolic and Symbolic Methods for Explainability.
RuleML+RR
Anna Himmelhuber, Stephan Grimm, Sonja Zillner, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler
2021 — conf
Demystifying Graph Neural Network Explanations.
PKDD/ECML Workshops (1)
Anna Himmelhuber, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler
2021 J jnl
Demystifying Graph Neural Network Explanations.
CoRR
Anna Himmelhuber, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler
2021 — conf
Generating Table Vector Representations.
DL4KG@ISWC
Aneta Koleva, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
2021 J jnl
Generating Table Vector Representations.
CoRR
Aneta Koleva, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
2021 J jnl
Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs.
CoRR
Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Rime Raissouni, Volker Tresp
2021 B conf
Neural Multi-hop Reasoning with Logical Rules on Biomedical Knowledge Graphs.
ESWC
Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Rime Raissouni, Volker Tresp
2021 J jnl
On Event-Driven Knowledge Graph Completion in Digital Factories.
CoRR
Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger
2021 A conf
Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids.
CIKM
Martin Ringsquandl, Houssem Sellami, Marcel Hildebrandt, Dagmar Beyer, Sylwia Henselmeyer, Sebastian Weber, Mitchell Joblin
2021 J jnl
Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids.
CoRR
Martin Ringsquandl, Houssem Sellami, Marcel Hildebrandt, Dagmar Beyer, Sylwia Henselmeyer, Sebastian Weber, Mitchell Joblin
2020 J jnl
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs.
CoRR
Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
2020 J jnl
Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing.
CoRR
Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Volker Tresp
2020 A* conf
Reasoning on Knowledge Graphs with Debate Dynamics.
AAAI
Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
2020 J jnl
Reasoning on Knowledge Graphs with Debate Dynamics.
CoRR
Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
2019 — —
Semantic-guided predictive modeling and relational learning within industrial knowledge graphs.
Martin Ringsquandl
2018 B conf
Diagnostics of Trains with Semantic Diagnostics Rules.
ILP
Evgeny Kharlamov, Ognjen Savkovic, Martin Ringsquandl, Guohui Xiao, Gulnar Mehdi, Elem Güzel Kalayci, Werner Nutt, Mikhail Roshchin, Ian Horrocks, Thomas A. Runkler
2018 B conf
Event-Enhanced Learning for KG Completion.
ESWC
Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Marcel Hildebrandt, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger
2018 — conf
Filling Gaps in Industrial Knowledge Graphs via Event-Enhanced Embedding.
ISWC (P&D/Industry/BlueSky)
Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Marcel Hildebrandt, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger
2018 — conf
Semantic Diagnostics of Smart Factories.
JIST
Ognjen Savkovic, Evgeny Kharlamov, Martin Ringsquandl, Guohui Xiao, Gulnar Mehdi, Elem Güzel Kalayci, Werner Nutt, Ian Horrocks
2017 — conf
Knowledge Fusion of Manufacturing Operations Data Using Representation Learning.
APMS (2)
Martin Ringsquandl, Steffen Lamparter, Raffaello Lepratti, Peer Kröger
2017 — conf
On event-driven knowledge graph completion in digital factories.
IEEE BigData
Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger
2016 — conf
Capturing Industrial Information Models with Ontologies and Constraints.
ISWC (2)
Evgeny Kharlamov, Bernardo Cuenca Grau, Ernesto Jiménez-Ruiz, Steffen Lamparter, Gulnar Mehdi, Martin Ringsquandl, Yavor Nenov, Stephan Grimm, Mikhail Roshchin, Ian Horrocks
2016 C conf
Graph-based predictions and recommendations in flexible manufacturing systems.
IECON
Martin Ringsquandl, Steffen Lamparter, Raffaello Lepratti
2016 — conf
Knowledge Graph Constraints for Multi-label Graph Classification.
ICDM Workshops
Martin Ringsquandl, Steffen Lamparter, Ingo Thon, Raffaello Lepratti, Peer Kröger
2016 — conf
SOMM: Industry Oriented Ontology Management Tool.
ISWC (Posters & Demos)
Evgeny Kharlamov, Bernardo Cuenca Grau, Ernesto Jiménez-Ruiz, Steffen Lamparter, Gulnar Mehdi, Martin Ringsquandl, Yavor Nenov, Stephan Grimm, Mikhail Roshchin, Ian Horrocks
2015 — conf
Semantic-Guided Feature Selection for Industrial Automation Systems.
ISWC (2)
Martin Ringsquandl, Steffen Lamparter, Sebastian Brandt, Thomas Hubauer, Raffaello Lepratti
2014 J jnl
Context-Aware Analytics in MOM Applications.
CoRR
Martin Ringsquandl, Steffen Lamparter, Raffaello Lepratti
2013 — conf
Analyzing Political Sentiment on Twitter.
AAAI Spring Symposium: Analyzing Microtext
Martin Ringsquandl, Dusan Petkovic