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Efficient Explainable Learning on Knowledge Graphs

Resultado final

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.

Publicaciones

Learning Permutation-Invariant Embeddings for Description Logic Concepts

Autores: Caglar Demir, Axel-Cyrille Ngonga Ngomo
Publicado en: Advances in Intelligent Data Analysis XXI. Lecture Notes in Computer Science., Edición 13876, 2023
Editor: Springer, Cham
DOI: 10.1007/978-3-031-30047-9_9

Improving Graph-to-Text Generation Using Cycle Training

Autores: Fina Polat, Ilaria Tiddi, Paul Groth, Piek Vossen
Publicado en: Proceedings of the 4th Conference on Language, Data and Knowledge, 2023
Editor: NOVA CLUNL

Neural Class Expression Synthesis in ALCHIQ(D)

Autores: N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo
Publicado en: 2023
Editor: Springer

Clifford Embeddings – A Generalized Approach for Embedding in Normed Algebras

Autores: Caglar Demir, Axel-Cyrille Ngonga Ngomo
Publicado en: 2023
Editor: Springer

Explainable Integration of Knowledge Graphs using Large Language Models

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

TemporalFC: A Temporal Fact Checking approach over Knowledge Graphs

Autores: Umair Qudus, Michael Röder, Sabrina Kirrane, Axel-Cyrille Ngonga Ngomo
Publicado en: 2023
Editor: Springer

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

Autores: Xue Li, Fina Polat, Paul Groth
Publicado en: Joint proceedings of the KBC-LM workshop and the LM-KBC challenge at ISWC 2023, 2023, ISSN 1613-0073
Editor: CEUR Workshop Proceedings

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

Autores: Nikolaos Karalis, Alexander Bigerl, Axel-Cyrille Ngonga Ngomo
Publicado en: 2023
Editor: IOS Press

Neuro-Symbolic Class Expression Learning

Autores: Caglar Demir, Axel-Cyrille Ngonga Ngomo
Publicado en: 2023
Editor: International Joint Conferences on Artificial Intelligence
DOI: 10.24963/ijcai.2023/403

Logics with probabilistic team semantics and the Boolean negation

Autores: Miika Hannula, Minna Hirvonen, Juha Kontinen, Yasir Mahmood, Arne Meier, Jonni Virtema
Publicado en: 2023
Editor: Springer

Neural Class Expression Synthesis

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

Parameterized Complexity of Propositional Inclusion and Independence Logic

Autores: Yasir Mahmood, Jonni Virtema
Publicado en: 2023
Editor: Springer

Online event recognition over noisy data streams

Autores: Periklis Mantenoglou, Alexander Artikis, Georgios Paliouras
Publicado en: International Journal of Approximate Reasoning, Edición 161, 2023, ISSN 0888-613X
Editor: Elsevier BV
DOI: 10.1016/j.ijar.2023.108993

Semantic Web

Autores: Enrico
Publicado en: Semantic Web, 2023, ISSN 1570-0844
Editor: IOS Press
DOI: 10.3233/SW-233407

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