Publications

Yuqicheng Zhu, Nico Potyka, Jiarong Pan, Bo Xiong, Yunjie He, Evgeny Kharlamov, and Steffen Staab. Conformalized Answer Set Prediction for Knowledge Graph Embedding. In Luis Chiruzzo, Alan Ritter, and Lu Wang (Eds.), Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 731--750, Association for Computational Linguistics, Albuquerque, New Mexico, April 2025. [PUMA: knowledgegraph myown] URL

Yuqicheng Zhu, Nico Potyka, Jiarong Pan, Bo Xiong, Yunjie He, Evgeny Kharlamov, and Steffen Staab. Conformalized Answer Set Prediction for Knowledge Graph Embedding. In Luis Chiruzzo, Alan Ritter, and Lu Wang (Eds.), Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 731--750, Association for Computational Linguistics, Albuquerque, New Mexico, April 2025. [PUMA: myown knowledgegraph] URL

Renato De Donato, Martina Garofalo, Delfina Malandrino, Maria Angela Pellegrino, Andrea Petta, and Vittorio Scarano. QueDI: From Knowledge Graph Querying to Data Visualization. In Eva Blomqvist, Paul Groth, Victor de Boer, Tassilo Pellegrini, Mehwish Alam, Tobias Käfer, Peter Kieseberg, Sabrina Kirrane, Albert Meroño-Peñuela, and Harshvardhan J. Pandit (Eds.), Semantic Systems. In the Era of Knowledge Graphs, 70--86, Springer International Publishing, Cham, 2020. [PUMA: knowledgegraph visualization]

Jacqueline Peng, David Xu, Ryan Lee, Siwei Xu, Yunyun Zhou, and Kai Wang. Expediting knowledge acquisition by a web framework for Knowledge Graph Exploration and Visualization (KGEV): case studies on COVID-19 and Human Phenotype Ontology. BMC Medical Informatics and Decision Making, (22)2:147, Jun 2, 2022. [PUMA: knowledgegraph visualization] URL

Harry Li, Gabriel Appleby, Camelia Daniela Brumar, Remco Chang, and Ashley Suh. Knowledge Graphs in Practice: Characterizing their Users, Challenges, and Visualization Opportunities. IEEE Transactions on Visualization and Computer Graphics, (30)1:584-594, January 2024. [PUMA: knowledgegraph visualization]

Yamei Tu, Rui Qiu, and Han-Wei Shen. KG-PRE-view: Democratizing a TVCG Knowledge Graph through Visual Explorations. 2024 IEEE 17th Pacific Visualization Conference (PacificVis), 162-171, April 2024. [PUMA: knowledgegraph visualization]

Thibault Ehrhart, Pasquale Lisena, and Raphaël Troncy. KG Explorer: a Customisable Exploration Tool for Knowledge Graphs. 2021. [PUMA: knowledgegraph visualization] URL

Leonidas Deligiannidis, Krys J. Kochut, and Amit P. Sheth. RDF data exploration and visualization. Proceedings of the ACM first workshop on CyberInfrastructure: information management in eScience, 39–46, Association for Computing Machinery, New York, NY, USA, Nov 9, 2007. [PUMA: knowledgegraph visualization] URL

Chao-Wen Hsuan Yuan, Tzu-Wei Yu, Jia-Yu Pan, and Wen-Chieh Lin. KGScope: Interactive Visual Exploration of Knowledge Graphs With Embedding-Based Guidance. IEEE Transactions on Visualization and Computer Graphics, (30)12:7702-7716, December 2024. [PUMA: knowledgegraph visualization]

Rungsiman Nararatwong, Natthawut Kertkeidkachorn, and Ryutaro Ichise. Knowledge Graph Visualization: Challenges, Framework, and Implementation. 2020 IEEE Third International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 174-178, December 2020. [PUMA: knowledgegraph tools visualization]

Sven Hertling, and Heiko Paulheim. DBkWik: A Consolidated Knowledge Graph from Thousands of Wikis. 2018 IEEE International Conference on Big Knowledge (ICBK), 17-24, November 2018. [PUMA: knowledgegraph metadata ontologie]

Oliver Karras, Laura Budde, Paulina Merkel, Jörg Hermsdorf, Malte Stonis, Ludger Overmeyer, Bernd-Arno Behrens, and Sören Auer. Organizing Scientific Knowledge from Engineering Sciences Using the Open Research Knowledge Graph: The Tailored Forming Process Chain Use Case. Data Science Journal, (23)Ubiquity Press, Ltd., 2024. [PUMA: forschungsdaten knowledgegraph metadata] URL

Yuqicheng Zhu, Nico Potyka, Mojtaba Nayyeri, Bo Xiong, Yunjie He, Evgeny Kharlamov, and Steffen Staab. Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction. Proceeding of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024. [PUMA: KnowledgeGraph PredictiveMultiplicity myown] URL

Yuqicheng Zhu, Nico Potyka, Mojtaba Nayyeri, Bo Xiong, Yunjie He, Evgeny Kharlamov, and Steffen Staab. Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction. Proceeding of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024. [PUMA: myown KnowledgeGraph PredictiveMultiplicity] URL

Sheeba Samuel, and Daniel Mietchen. FAIR Jupyter: a knowledge graph approach to semantic sharing and granular exploration of a computational notebook reproducibility dataset. 2024. [PUMA: jupyter knowledgegraph reproducibility software]

Shilpa Verma, Rajesh Bhatia, Sandeep Harit, and Sanjay Batish. Scholarly knowledge graphs through structuring scholarly communication: a review. Complex & Intelligent Systems, (9)1:1059--1095, Feb 1, 2023. [PUMA: knowledgegraph metadata publications semanticWeb] URL

Paul Groth, Elena Simperl, Marieke van Erp, and Denny Vrandečić. Knowledge Graphs and their Role in the Knowledge Engineering of the 21st Century (Dagstuhl Seminar 22372). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2023. [PUMA: forschungsdaten knowledgegraph metadata] URL