Martin Ringsquandl

According to our database, Martin Ringsquandl authored at least 28 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Wiki-TabNER: Advancing Table Interpretation Through Named Entity Recognition.

Aneta Koleva, Martin Ringsquandl, Ahmed Hatem, Thomas A. Runkler, Volker Tresp

CoRR, 2024

2023

Adversarial Attacks on Tables with Entity Swap.

Aneta Koleva, Martin Ringsquandl, Volker Tresp

Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

2022

Active Learning with Tabular Language Models.

Martin Ringsquandl, Aneta Koleva

CoRR, 2022

Task-driven knowledge graph filtering improves prioritizing drugs for repurposing.

Florin Ratajczak, Mitchell Joblin, Martin Ringsquandl, Marcel Hildebrandt

BMC Bioinform., 2022

Named Entity Recognition in Industrial Tables using Tabular Language Models.

Aneta Koleva, Martin Ringsquandl, Mark Buckley, Rakebul Hasan, Volker Tresp

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

2021

Combining Sub-symbolic and Symbolic Methods for Explainability.

Anna Himmelhuber, Stephan Grimm, Sonja Zillner, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler

Proceedings of the Rules and Reasoning - 5th International Joint Conference, 2021

Demystifying Graph Neural Network Explanations.

Anna Himmelhuber, Mitchell Joblin, Martin Ringsquandl, Thomas A. Runkler

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

A New Concept for Explaining Graph Neural Networks.

Anna Himmelhuber, Sonja Zillner, Stephan Grimm, Martin Ringsquandl, Mitchell Joblin, Thomas A. Runkler

Proceedings of the 15th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 1st International Joint Conference on Learning & Reasoning (IJCLR 2021), 2021

Neural Multi-hop Reasoning with Logical Rules on Biomedical Knowledge Graphs.

Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Rime Raissouni, Volker Tresp

Proceedings of the Semantic Web - 18th International Conference, 2021

Generating Table Vector Representations.

Aneta Koleva, Martin Ringsquandl, Mitchell Joblin, Volker Tresp

Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2021) co-located with the 20th International Semantic Web Conference (ISWC 2021), 2021

Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids.

Martin Ringsquandl, Houssem Sellami, Marcel Hildebrandt, Dagmar Beyer, Sylwia Henselmeyer, Sebastian Weber, Mitchell Joblin

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing.

Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Volker Tresp

CoRR, 2020

Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs.

Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp

CoRR, 2020

Reasoning on Knowledge Graphs with Debate Dynamics.

Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Semantic-guided predictive modeling and relational learning within industrial knowledge graphs.

Martin Ringsquandl

PhD thesis, 2019

2018

Filling Gaps in Industrial Knowledge Graphs via Event-Enhanced Embedding.

Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Marcel Hildebrandt, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger

Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th - to, 2018

Semantic Diagnostics of Smart Factories.

Ognjen Savkovic, Evgeny Kharlamov, Martin Ringsquandl, Guohui Xiao, Gulnar Mehdi, Elem Güzel Kalayci, Werner Nutt, Ian Horrocks

Proceedings of the Semantic Technology - 8th Joint International Conference, 2018

Diagnostics of Trains with Semantic Diagnostics Rules.

Evgeny Kharlamov, Ognjen Savkovic, Martin Ringsquandl, Guohui Xiao, Gulnar Mehdi, Elem Güzel Kalayci, Werner Nutt, Mikhail Roshchin, Ian Horrocks, Thomas A. Runkler

Proceedings of the Inductive Logic Programming - 28th International Conference, 2018

Event-Enhanced Learning for KG Completion.

Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Marcel Hildebrandt, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger

Proceedings of the Semantic Web - 15th International Conference, 2018

2017

Knowledge Fusion of Manufacturing Operations Data Using Representation Learning.

Martin Ringsquandl, Steffen Lamparter, Raffaello Lepratti, Peer Kröger

Proceedings of the Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing, 2017

On event-driven knowledge graph completion in digital factories.

Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Capturing Industrial Information Models with Ontologies and Constraints.

Evgeny Kharlamov, Bernardo Cuenca Grau, Ernesto Jiménez-Ruiz, Steffen Lamparter, Gulnar Mehdi, Martin Ringsquandl, Yavor Nenov, Stephan Grimm, Mikhail Roshchin, Ian Horrocks

Proceedings of the Semantic Web - ISWC 2016, 2016

SOMM: Industry Oriented Ontology Management Tool.

Evgeny Kharlamov, Bernardo Cuenca Grau, Ernesto Jiménez-Ruiz, Steffen Lamparter, Gulnar Mehdi, Martin Ringsquandl, Yavor Nenov, Stephan Grimm, Mikhail Roshchin, Ian Horrocks

Proceedings of the ISWC 2016 Posters & Demonstrations Track co-located with 15th International Semantic Web Conference (ISWC 2016), 2016

Graph-based predictions and recommendations in flexible manufacturing systems.

Martin Ringsquandl, Steffen Lamparter, Raffaello Lepratti

Proceedings of the IECON 2016, 2016

Knowledge Graph Constraints for Multi-label Graph Classification.

Martin Ringsquandl, Steffen Lamparter, Ingo Thon, Raffaello Lepratti, Peer Kröger

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015

Semantic-Guided Feature Selection for Industrial Automation Systems.

Martin Ringsquandl, Steffen Lamparter, Sebastian Brandt, Thomas Hubauer, Raffaello Lepratti

Proceedings of the Semantic Web - ISWC 2015, 2015

2014

Context-Aware Analytics in MOM Applications.

Martin Ringsquandl, Steffen Lamparter, Raffaello Lepratti

CoRR, 2014

2013

Analyzing Political Sentiment on Twitter.

Martin Ringsquandl, Dusan Petkovic

Proceedings of the Analyzing Microtext, 2013