Efficient Explainable Learning on Knowledge Graphs

Informazioni relative al progetto

ENEXA

ID dell’accordo di sovvenzione: 101070305

DOI

10.3030/101070305

Progetto chiuso

Data della firma CE 13 Giugno 2022

Data di avvio 1 Ottobre 2022

Data di completamento 30 Settembre 2025

Finanziato da

• Digital, Industry and Space

Costo totale

€ 3 991 269,50

Contributo UE

€ 3 991 269,50

Coordinato da

UNIVERSITAET PADERBORN
Germany

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Other (3)

First version of KG representation approaches

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

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

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

Documents, reports (2)

Use case definitions

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

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.

Pubblicazioni

Conference proceedings (34)

Computing Repairs Under Functional and Inclusion Dependencies via Argumentation

Autori: Yasir Mahmood, Jonni Virtema, Timon Barlag, Axel-Cyrille Ngonga Ngomo
Pubblicato in: Numero 14589, 2024, ISBN 978-3-031-56940-1
Editore: Springer, Cham, Switzerland
DOI: 10.1007/978-3-031-56940-1_2

Learning Permutation-Invariant Embeddings for Description Logic Concepts

Autori: Caglar Demir, Axel-Cyrille Ngonga Ngomo
Pubblicato in: Advances in Intelligent Data Analysis XXI. Lecture Notes in Computer Science., Numero 13876, 2023
Editore: Springer, Cham
DOI: 10.1007/978-3-031-30047-9_9

Improving Graph-to-Text Generation Using Cycle Training

Autori: Fina Polat, Ilaria Tiddi, Paul Groth, Piek Vossen
Pubblicato in: Proceedings of the 4th Conference on Language, Data and Knowledge, 2023
Editore: NOVA CLUNL

Efficient Evaluation of Conjunctive Regular Path Queries Using Multi-way Joins

Autori: Nikolaos Karalis, Alexander Bigerl, Liss Heidrich, Mohamed Ahmed Sherif, Axel-Cyrille Ngonga Ngomo
Pubblicato in: Numero 14664, 2024, ISBN 978-3-031-60626-7
Editore: Springer, Cham, Switzerland
DOI: 10.1007/978-3-031-60626-7_12

Neural Class Expression Synthesis in ALCHIQ(D)

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

COBALT: A Content-Based Similarity Approach for Link Discovery over Geospatial Knowledge Graphs

Autori: Alexander Becker, Abdullah Ahmed, Mohamed Ahmed Sherif, Axel-Cyrille Ngonga Ngomo
Pubblicato in: Studies on the Semantic Web, Knowledge Graphs: Semantics, Machine Learning, and Languages, 2023
Editore: Akademische Verlagsgesellschaft AKA GmbH
DOI: 10.3233/SSW230013

IndEL: Indonesian Entity Linking Benchmark Dataset for General and Specific Domains

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

Detecting and Fixing Inconsistency of Large Knowledge Graphs

Autori: Charilaos Akasiadis, Anastasios Nentidis, Angelos Charalambidis, Alexander Artikis
Pubblicato in: Proceedings of the 13th Hellenic Conference on Artificial Intelligence, 2024
Editore: ACM
DOI: 10.1145/3688671.3688766

Universal Knowledge Graph Embeddings

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

Enhancing Relation Extraction Through Augmented Data: Large Language Models Unleashed

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

Quantitative Reasoning and Structural Complexity for Claim-Centric Argumentation

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

A Tensor-Based Formalization of the Event Calculus

Autori: Efthimis Tsilionis, Alexander Artikis, and Georgios Paliouras
Pubblicato in: International Joint Conference on Artificial Intelligence, 2024
Editore: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/IJCAI.2024/397

Evaluating Negation with Multi-way Joins Accelerates Class Expression Learning

Autori: Nikolaos Karalis, Alexander Bigerl, Caglar Demir, Liss Heidrich, Axel-Cyrille Ngonga Ngomo
Pubblicato in: ECML PKDD 2024, 2024
Editore: Springer

SHROOM-INDElab at SemEval-2024 Task 6: Zero- and Few-Shot LLM-Based Classification for Hallucination Detection

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

Clifford Embeddings – A Generalized Approach for Embedding in Normed Algebras

Autori: Caglar Demir, Axel-Cyrille Ngonga Ngomo
Pubblicato in: 2023, ISBN 978-3-031-43418-1
Editore: Springer, Cham
DOI: 10.1007/978-3-031-43418-1_34

Blink: Blank Node Matching Using Embeddings

Autori: Alexander Becker, Mohamed Ahmed Sherif, Axel-Cyrille Ngonga Ngomo
Pubblicato in: Lecture Notes in Computer Science, The Semantic Web – ISWC 2024, 2024
Editore: 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

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

Generating SPARQL from Natural Language Using Chain-of-Thoughts Prompting

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

Explainable Integration of Knowledge Graphs using Large Language Models

Autori: Abdullah Fathi Ahmed, Asep Fajar Firmansyah, Mohamed Ahmed Sherif, Diego Moussallem, Axel-Cyrille Ngonga Ngomo
Pubblicato in: Natural Language Processing and Information Systems. Lecture Notes in Computer Science., Numero 13913, 2023
Editore: Springer, Cham
DOI: 10.1007/978-3-031-35320-8_9

TemporalFC: A Temporal Fact Checking approach over Knowledge Graphs

Autori: Umair Qudus, Michael Röder, Sabrina Kirrane, Axel-Cyrille Ngonga Ngomo
Pubblicato in: 2023, ISBN 978-3-031-47240-4
Editore: Springer, Cham
DOI: 10.1007/978-3-031-47240-4_25

Designing Hierarchies for Optimal Hyperbolic Embedding

Autori: Melika Ayoughi, Max van Spengler, Pascal Mettes, Paul Groth
Pubblicato in: Lecture Notes in Computer Science, The Semantic Web, 2025
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-94575-5_20

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

Autori: Xue Li, Fina Polat, Paul Groth
Pubblicato in: Joint proceedings of the KBC-LM workshop and the LM-KBC challenge at ISWC 2023, 2023, ISSN 1613-0073
Editore: CEUR Workshop Proceedings

Quantitative Claim-Centric Reasoning in Logic-Based Argumentation

Autori: Markus Hecher, Yasir Mahmood, Arne Meier, Johannes Schmidt
Pubblicato in: Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence, 2024
Editore: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/ijcai.2024/377

AutoCL: AutoML for Concept Learning

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

TIGER: Temporally Improved Graph Entity Linker

Autori: Pengyu Zhang, Congfeng Cao, Paul Groth
Pubblicato in: Frontiers in Artificial Intelligence and Applications, ECAI 2024, 2024
Editore: IOS Press
DOI: 10.3233/FAIA240933

Native Execution of GraphQL Queries over RDF Graphs Using Multi-way Joins

Autori: Nikolaos Karalis, Alexander Bigerl, Axel-Cyrille Ngonga Ngomo
Pubblicato in: No journal title, 2023
Editore: IOS Press
DOI: 10.3233/SSW230007

Prompting LLMs for the Run-Time Event Calculus

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

Neuro-Symbolic Class Expression Learning

Autori: Caglar Demir, Axel-Cyrille Ngonga Ngomo
Pubblicato in: IJCAI, 2023
Editore: International Joint Conferences on Artificial Intelligence
DOI: 10.24963/ijcai.2023/403

Logics with probabilistic team semantics and the Boolean negation

Autori: Miika Hannula, Minna Hirvonen, Juha Kontinen, Yasir Mahmood, Arne Meier, Jonni Virtema
Pubblicato in: Logics in Artificial Intelligence (JELIA 2023), 2023
Editore: Springer

ROCES: Robust Class Expression Synthesis in Description Logics via Iterative Sampling

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

Neural Class Expression Synthesis

Autori: N’Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo
Pubblicato in: 2023, ISSN 1613-0073
Editore: Springer Cham
DOI: 10.1007/978-3-031-33455-9_13

Parameterized Complexity of Propositional Inclusion and Independence Logic

Autori: Yasir Mahmood, Jonni Virtema
Pubblicato in: Logic, Language, Information, and Computation, Numero 29TH, 2023
Editore: Springer

Error Analysis of Multilingual Language Models in Machine Translation: A Case Study of English-Amharic Translation

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

CYCLE: Cross-Year Contrastive Learning in Entity-Linking

Autori: Pengyu Zhang, Congfeng Cao, Klim Zaporojets, Paul Groth
Pubblicato in: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Editore: ACM
DOI: 10.1145/3627673.3679702

Peer reviewed articles (8)

Knowledge Engineering Using Large Language Models

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

Online event recognition over noisy data streams

Autori: Periklis Mantenoglou, Alexander Artikis, Georgios Paliouras
Pubblicato in: International Journal of Approximate Reasoning, Numero 161, 2023, ISSN 0888-613X
Editore: Elsevier BV
DOI: 10.1016/j.ijar.2023.108993

NELLIE: Never-Ending Linking for Linked Open Data

Autori: Abdullah Fathi Ahmed, Mohamed Ahmed Sherif, Axel-Cyrille Ngonga Ngomo
Pubblicato in: IEEE Access, Numero 11, 2023, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2023.3300694

Detecting and Fixing Inconsistencies in Large Knowledge Graphs*

Autori: Charilaos Akasiadis, Anastasios Nentidis, Angelos Charalambidis, Alexander Artikis
Pubblicato in: The European Journal on Artificial Intelligence, 2025, ISSN 3050-4554
Editore: SAGE Publications
DOI: 10.5281/ZENODO.17182451

Testing prompt engineering methods for knowledge extraction from text

Autori: Fina Polat, Ilaria Tiddi, Paul Groth
Pubblicato in: Semantic Web, 2024, ISSN 2210-4968
Editore: SAGE Publications
DOI: 10.3233/SW-243719

Parameterized complexity of weighted team definability

Autori: Juha Kontinen, Yasir Mahmood, Arne Meier, Heribert Vollmer
Pubblicato in: Mathematical Structures in Computer Science, 2024, ISSN 1469-8072
Editore: Cambridge University Press
DOI: 10.1017/S0960129524000033

Evaluating FAIR Digital Object and Linked Data as distributed object systems

Autori: Stian Soiland-Reyes; Carole Goble; Paul Groth
Pubblicato in: PeerJ Computer Science, 2024, ISSN 2376-5992
Editore: PeerJ
DOI: 10.48550/arxiv.2306.07436

Data journeys: Explaining AI workflows through abstraction

Autori: Enrico Daga, Paul Groth
Pubblicato in: Semantic Web, 2023, ISSN 1570-0844
Editore: IOS Press
DOI: 10.3233/SW-233407

Thesis and dissertations (1)

FAIR Research Objects and computational workflows: A Linked Data approach

Autori: S. Soiland-Reyes
Pubblicato in: 2025, ISBN 9789493391789
Editore: University of Amsterdam