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Efficient Explainable Learning on Knowledge Graphs

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

First version of KG representation approaches (opens in new window)

This deliverable will describe the 1st version of the knowledge graph representation approaches developed in ENEXA. Implementation details and an evaluation of each approach against the existing state of the art will be presented.

First version of the explainable ML algorithms (opens in new window)

This deliverable will describe the first version of the efficiency and explainability algorithms. Moreover, baseline implementations provided by ENEXA will be presented.

Preliminary version of the platform (opens in new window)

Software release of the ENEXA platform after the first development phase including preliminary versions of the code, documentation and test scenarios.

Use case definitions (opens in new window)

Report refining the identified requirements by stakeholders in the three use cases as well as recommendations on visualizations / design, work process support and use cases.

Requirement specification (opens in new window)

This deliverable will include the initial set of requirements identified from the users. This serves as a direct input for WP3 and WP4 in which the ENEXA approaches will be developed. It will also be used to evaluate the platform after the first development phase and plan development steps for the second development.

Publications

Computing Repairs Under Functional and Inclusion Dependencies via Argumentation (opens in new window)

Author(s): Yasir Mahmood, Jonni Virtema, Timon Barlag, Axel-Cyrille Ngonga Ngomo
Published in: Issue 14589, 2024, ISBN 978-3-031-56940-1
Publisher: Springer, Cham, Switzerland
DOI: 10.1007/978-3-031-56940-1_2

Learning Permutation-Invariant Embeddings for Description Logic Concepts (opens in new window)

Author(s): Caglar Demir, Axel-Cyrille Ngonga Ngomo
Published in: Advances in Intelligent Data Analysis XXI. Lecture Notes in Computer Science., Issue 13876, 2023
Publisher: Springer, Cham
DOI: 10.1007/978-3-031-30047-9_9

Improving Graph-to-Text Generation Using Cycle Training

Author(s): Fina Polat, Ilaria Tiddi, Paul Groth, Piek Vossen
Published in: Proceedings of the 4th Conference on Language, Data and Knowledge, 2023
Publisher: NOVA CLUNL

Efficient Evaluation of Conjunctive Regular Path Queries Using Multi-way Joins (opens in new window)

Author(s): Nikolaos Karalis, Alexander Bigerl, Liss Heidrich, Mohamed Ahmed Sherif, Axel-Cyrille Ngonga Ngomo
Published in: Issue 14664, 2024, ISBN 978-3-031-60626-7
Publisher: Springer, Cham, Switzerland
DOI: 10.1007/978-3-031-60626-7_12

Neural Class Expression Synthesis in ALCHIQ(D)

Author(s): N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo
Published in: Machine Learning and Knowledge Discovery in Databases: Research Track (ECML PKDD 2023), 2023
Publisher: Springer

COBALT: A Content-Based Similarity Approach for Link Discovery over Geospatial Knowledge Graphs (opens in new window)

Author(s): Alexander Becker, Abdullah Ahmed, Mohamed Ahmed Sherif, Axel-Cyrille Ngonga Ngomo
Published in: Studies on the Semantic Web, Knowledge Graphs: Semantics, Machine Learning, and Languages, 2023
Publisher: Akademische Verlagsgesellschaft AKA GmbH
DOI: 10.3233/SSW230013

IndEL: Indonesian Entity Linking Benchmark Dataset for General and Specific Domains (opens in new window)

Author(s): Ria Hari Gusmita, Muhammad Faruq Amiral Abshar, Diego Moussallem, Axel-Cyrille Ngonga Ngomo
Published in: Lecture Notes in Computer Science, Natural Language Processing and Information Systems, 2024
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-70239-6_34

Detecting and Fixing Inconsistency of Large Knowledge Graphs (opens in new window)

Author(s): Charilaos Akasiadis, Anastasios Nentidis, Angelos Charalambidis, Alexander Artikis
Published in: Proceedings of the 13th Hellenic Conference on Artificial Intelligence, 2024
Publisher: ACM
DOI: 10.1145/3688671.3688766

Universal Knowledge Graph Embeddings (opens in new window)

Author(s): N’Dah Jean Kouagou, Caglar Demir, Hamada M. Zahera, Adrian Wilke, Stefan Heindorf, Jiayi Li, Axel-Cyrille Ngonga Ngomo
Published in: 2024, ISBN 979-8-4007-0172-6
Publisher: Association for Computing Machinery, New York, United States
DOI: 10.1145/3589335.3651978

Enhancing Relation Extraction Through Augmented Data: Large Language Models Unleashed (opens in new window)

Author(s): Manzoor Ali, Muhammad Sohail Nisar, Muhammad Saleem, Diego Moussallem, Axel-Cyrille Ngonga Ngomo
Published in: Lecture Notes in Computer Science, Natural Language Processing and Information Systems, 2024
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-70242-6_7

Quantitative Reasoning and Structural Complexity for Claim-Centric Argumentation (opens in new window)

Author(s): Johannes K. Fichte, Markus Hecher, Yasir Mahmood, Arne Meier
Published in: 2023, ISBN 978-1-956792-03-4
Publisher: International Joint Conferences on Artifical Intelligence (IJCAI)
DOI: 10.24963/ijcai.2023/358

A Tensor-Based Formalization of the Event Calculus (opens in new window)

Author(s): Efthimis Tsilionis, Alexander Artikis, and Georgios Paliouras
Published in: International Joint Conference on Artificial Intelligence, 2024
Publisher: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/IJCAI.2024/397

Evaluating Negation with Multi-way Joins Accelerates Class Expression Learning

Author(s): Nikolaos Karalis, Alexander Bigerl, Caglar Demir, Liss Heidrich, Axel-Cyrille Ngonga Ngomo
Published in: ECML PKDD 2024, 2024
Publisher: Springer

SHROOM-INDElab at SemEval-2024 Task 6: Zero- and Few-Shot LLM-Based Classification for Hallucination Detection (opens in new window)

Author(s): Bradley Allen, Fina Polat, Paul Groth
Published in: Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), 2024
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2024.semeval-1.120

Clifford Embeddings – A Generalized Approach for Embedding in Normed Algebras (opens in new window)

Author(s): Caglar Demir, Axel-Cyrille Ngonga Ngomo
Published in: 2023, ISBN 978-3-031-43418-1
Publisher: Springer, Cham
DOI: 10.1007/978-3-031-43418-1_34

Blink: Blank Node Matching Using Embeddings (opens in new window)

Author(s): Alexander Becker, Mohamed Ahmed Sherif, Axel-Cyrille Ngonga Ngomo
Published in: Lecture Notes in Computer Science, The Semantic Web – ISWC 2024, 2024
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-77844-5_12

A Benchmark for the Detection of Metalinguistic Disagreements between LLMs and Knowledge Graphs

Author(s): Bradley P. Allen, Paul Groth
Published in: n Proceedings of the Special Session on Harmonising Generative AI and Semantic Web Technologies (HGAIS 2024) 2024, 2025
Publisher: CEUR

Generating SPARQL from Natural Language Using Chain-of-Thoughts Prompting (opens in new window)

Author(s): Hamada M. Zahera, Manzoor Ali, Mohamed Ahmed Sherif, Diego Moussallem, Axel-Cyrille Ngonga Ngomo
Published in: Studies on the Semantic Web, Knowledge Graphs in the Age of Language Models and Neuro-Symbolic AI, 2024
Publisher: IOS Press
DOI: 10.3233/SSW240028

Explainable Integration of Knowledge Graphs using Large Language Models (opens in new window)

Author(s): Abdullah Fathi Ahmed, Asep Fajar Firmansyah, Mohamed Ahmed Sherif, Diego Moussallem, Axel-Cyrille Ngonga Ngomo
Published in: Natural Language Processing and Information Systems. Lecture Notes in Computer Science., Issue 13913, 2023
Publisher: Springer, Cham
DOI: 10.1007/978-3-031-35320-8_9

TemporalFC: A Temporal Fact Checking approach over Knowledge Graphs (opens in new window)

Author(s): Umair Qudus, Michael Röder, Sabrina Kirrane, Axel-Cyrille Ngonga Ngomo
Published in: 2023, ISBN 978-3-031-47240-4
Publisher: Springer, Cham
DOI: 10.1007/978-3-031-47240-4_25

Designing Hierarchies for Optimal Hyperbolic Embedding (opens in new window)

Author(s): Melika Ayoughi, Max van Spengler, Pascal Mettes, Paul Groth
Published in: Lecture Notes in Computer Science, The Semantic Web, 2025
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-94575-5_20

Do Instruction-tuned Large Language Models Help with Relation Extraction?

Author(s): Xue Li, Fina Polat, Paul Groth
Published in: Joint proceedings of the KBC-LM workshop and the LM-KBC challenge at ISWC 2023, 2023, ISSN 1613-0073
Publisher: CEUR Workshop Proceedings

Quantitative Claim-Centric Reasoning in Logic-Based Argumentation (opens in new window)

Author(s): Markus Hecher, Yasir Mahmood, Arne Meier, Johannes Schmidt
Published in: Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence, 2024
Publisher: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/ijcai.2024/377

AutoCL: AutoML for Concept Learning (opens in new window)

Author(s): Jiayi Li, Sheetal Satheesh, Stefan Heindorf, Diego Moussallem, René Speck, Axel-Cyrille Ngonga Ngomo
Published in: Communications in Computer and Information Science, Explainable Artificial Intelligence, 2024
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-63787-2_7

TIGER: Temporally Improved Graph Entity Linker (opens in new window)

Author(s): Pengyu Zhang, Congfeng Cao, Paul Groth
Published in: Frontiers in Artificial Intelligence and Applications, ECAI 2024, 2024
Publisher: IOS Press
DOI: 10.3233/FAIA240933

Native Execution of GraphQL Queries over RDF Graphs Using Multi-way Joins (opens in new window)

Author(s): Nikolaos Karalis, Alexander Bigerl, Axel-Cyrille Ngonga Ngomo
Published in: No journal title, 2023
Publisher: IOS Press
DOI: 10.3233/SSW230007

Prompting LLMs for the Run-Time Event Calculus (opens in new window)

Author(s): Andreas Kouvaras, Periklis Mantenoglou, Alexander Artikis
Published in: 32nd International Symposium on Temporal Representation and Reasoning (TIME 2025), 2025
Publisher: Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)
DOI: 10.4230/LIPICS.TIME.2025.16

Neuro-Symbolic Class Expression Learning (opens in new window)

Author(s): Caglar Demir, Axel-Cyrille Ngonga Ngomo
Published in: IJCAI, 2023
Publisher: International Joint Conferences on Artificial Intelligence
DOI: 10.24963/ijcai.2023/403

Logics with probabilistic team semantics and the Boolean negation

Author(s): Miika Hannula, Minna Hirvonen, Juha Kontinen, Yasir Mahmood, Arne Meier, Jonni Virtema
Published in: Logics in Artificial Intelligence (JELIA 2023), 2023
Publisher: Springer

ROCES: Robust Class Expression Synthesis in Description Logics via Iterative Sampling (opens in new window)

Author(s): N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo
Published in: Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence, 2024
Publisher: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/ijcai.2024/479

Neural Class Expression Synthesis (opens in new window)

Author(s): N’Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo
Published in: 2023, ISSN 1613-0073
Publisher: Springer Cham
DOI: 10.1007/978-3-031-33455-9_13

Parameterized Complexity of Propositional Inclusion and Independence Logic

Author(s): Yasir Mahmood, Jonni Virtema
Published in: Logic, Language, Information, and Computation, Issue 29TH, 2023
Publisher: Springer

Error Analysis of Multilingual Language Models in Machine Translation: A Case Study of English-Amharic Translation (opens in new window)

Author(s): Hizkiel Mitiku Alemayehu, Hamada M Zahera, Axel-Cyrille Ngonga Ngomo
Published in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2024.emnlp-main.1102

CYCLE: Cross-Year Contrastive Learning in Entity-Linking (opens in new window)

Author(s): Pengyu Zhang, Congfeng Cao, Klim Zaporojets, Paul Groth
Published in: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Publisher: ACM
DOI: 10.1145/3627673.3679702

Knowledge Engineering Using Large Language Models (opens in new window)

Author(s): Bradley P. Allen, Lise Stork, Paul Groth
Published in: Transactions on Graph Data and Knowledge (TGDK), 2023, ISSN 2942-7517
Publisher: Dagstuhl Publishing
DOI: 10.4230/TGDK.1.1.3

Online event recognition over noisy data streams (opens in new window)

Author(s): Periklis Mantenoglou, Alexander Artikis, Georgios Paliouras
Published in: International Journal of Approximate Reasoning, Issue 161, 2023, ISSN 0888-613X
Publisher: Elsevier BV
DOI: 10.1016/j.ijar.2023.108993

NELLIE: Never-Ending Linking for Linked Open Data (opens in new window)

Author(s): Abdullah Fathi Ahmed, Mohamed Ahmed Sherif, Axel-Cyrille Ngonga Ngomo
Published in: IEEE Access, Issue 11, 2023, ISSN 2169-3536
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2023.3300694

Detecting and Fixing Inconsistencies in Large Knowledge Graphs* (opens in new window)

Author(s): Charilaos Akasiadis, Anastasios Nentidis, Angelos Charalambidis, Alexander Artikis
Published in: The European Journal on Artificial Intelligence, 2025, ISSN 3050-4554
Publisher: SAGE Publications
DOI: 10.5281/ZENODO.17182451

Testing prompt engineering methods for knowledge extraction from text (opens in new window)

Author(s): Fina Polat, Ilaria Tiddi, Paul Groth
Published in: Semantic Web, 2024, ISSN 2210-4968
Publisher: SAGE Publications
DOI: 10.3233/SW-243719

Parameterized complexity of weighted team definability (opens in new window)

Author(s): Juha Kontinen, Yasir Mahmood, Arne Meier, Heribert Vollmer
Published in: Mathematical Structures in Computer Science, 2024, ISSN 1469-8072
Publisher: Cambridge University Press
DOI: 10.1017/S0960129524000033

Evaluating FAIR Digital Object and Linked Data as distributed object systems (opens in new window)

Author(s): Stian Soiland-Reyes; Carole Goble; Paul Groth
Published in: PeerJ Computer Science, 2024, ISSN 2376-5992
Publisher: PeerJ
DOI: 10.48550/arxiv.2306.07436

Data journeys: Explaining AI workflows through abstraction (opens in new window)

Author(s): Enrico Daga, Paul Groth
Published in: Semantic Web, 2023, ISSN 1570-0844
Publisher: IOS Press
DOI: 10.3233/SW-233407

FAIR Research Objects and computational workflows: A Linked Data approach

Author(s): S. Soiland-Reyes
Published in: 2025, ISBN 9789493391789
Publisher: University of Amsterdam

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