Efficient Explainable Learning on Knowledge Graphs

Livrables

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.

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.

Publications

Learning Permutation-Invariant Embeddings for Description Logic Concepts

Auteurs: Caglar Demir, Axel-Cyrille Ngonga Ngomo
Publié dans: Advances in Intelligent Data Analysis XXI. Lecture Notes in Computer Science., Numéro 13876, 2023
Éditeur: Springer, Cham
DOI: 10.1007/978-3-031-30047-9_9

Improving Graph-to-Text Generation Using Cycle Training

Auteurs: Fina Polat, Ilaria Tiddi, Paul Groth, Piek Vossen
Publié dans: Proceedings of the 4th Conference on Language, Data and Knowledge, 2023
Éditeur: NOVA CLUNL

Neural Class Expression Synthesis in ALCHIQ(D)

Auteurs: N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo
Publié dans: 2023
Éditeur: Springer

Clifford Embeddings – A Generalized Approach for Embedding in Normed Algebras

Auteurs: Caglar Demir, Axel-Cyrille Ngonga Ngomo
Publié dans: 2023
Éditeur: Springer

Explainable Integration of Knowledge Graphs using Large Language Models

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

TemporalFC: A Temporal Fact Checking approach over Knowledge Graphs

Auteurs: Umair Qudus, Michael Röder, Sabrina Kirrane, Axel-Cyrille Ngonga Ngomo
Publié dans: 2023
Éditeur: Springer

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

Auteurs: Xue Li, Fina Polat, Paul Groth
Publié dans: Joint proceedings of the KBC-LM workshop and the LM-KBC challenge at ISWC 2023, 2023, ISSN 1613-0073
Éditeur: CEUR Workshop Proceedings

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

Auteurs: Nikolaos Karalis, Alexander Bigerl, Axel-Cyrille Ngonga Ngomo
Publié dans: 2023
Éditeur: IOS Press

Neuro-Symbolic Class Expression Learning

Auteurs: Caglar Demir, Axel-Cyrille Ngonga Ngomo
Publié dans: 2023
Éditeur: International Joint Conferences on Artificial Intelligence
DOI: 10.24963/ijcai.2023/403

Logics with probabilistic team semantics and the Boolean negation

Auteurs: Miika Hannula, Minna Hirvonen, Juha Kontinen, Yasir Mahmood, Arne Meier, Jonni Virtema
Publié dans: 2023
Éditeur: Springer

Neural Class Expression Synthesis

Auteurs: N’Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo
Publié dans: Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning., Numéro 3432, 2023, ISSN 1613-0073
Éditeur: CEUR Workshop Proceedings
DOI: 10.1007/978-3-031-33455-9_13

Parameterized Complexity of Propositional Inclusion and Independence Logic

Auteurs: Yasir Mahmood, Jonni Virtema
Publié dans: 2023
Éditeur: Springer

Online event recognition over noisy data streams

Auteurs: Periklis Mantenoglou, Alexander Artikis, Georgios Paliouras
Publié dans: International Journal of Approximate Reasoning, Numéro 161, 2023, ISSN 0888-613X
Éditeur: Elsevier BV
DOI: 10.1016/j.ijar.2023.108993

Semantic Web

Auteurs: Enrico
Publié dans: Semantic Web, 2023, ISSN 1570-0844
Éditeur: IOS Press
DOI: 10.3233/SW-233407

Livrables

Publications

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