Enabling Data Enrichment Pipelines for AI-driven Business Products and Services

Risultati finali

Specifies the general architecture of the enRichMyData toolbox including all the components supporting the functionalities for management of data enrichment pipelines as well as all the internal and external communications APIs between the toolbox tools and services

enRichMyData tools v1

Describes the public release of the enRichMyData user facing tools accompanied by a development use documentation

enRichMyData integrated toolbox v1

Describes the public release of the enRichMyData integrated toolbox accompanied by a development integration and use documentation Furthermore the testbed that includes the infrastructure for the resources to deploy the selected business cases will be provided as part of this deliverable

Technical and market requirements

Details the analysis of the current state of data enrichment pipelines covering technical strengths and weakness as well as market demands for easy integration in business domains

Roadmap and report on ecosystem building, exploitation, and dissemination

Provides a roadmap of dissemination exploitation and other support actions planned for the project and reviews the dissemination exploitation and other support actions during the first reporting period of the project

Pubblicazioni

Supplier Optimization at Bosch with Knowledge Graphs and Answer Set Programming

Autori: C.X. Chu, M.H. Gad-Elrab, T.K. Tran, M. Schiller, E. Kharlamov, D. Stepanova
Pubblicato in: The Semantic Web: ESWC 2023 Satellite Events, 2023, ISBN 978-3-031-43457-0
Editore: Springer, Cham
DOI: 10.1007/978-3-031-43458-7_38

Is Adversarial Training with Compressed Datasets Effective?

Autori: T. Chen, R. Selvan
Pubblicato in: 2025
Editore: arXiv
DOI: 10.48550/ARXIV.2402.05675

Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings

Autori: Zhu,Y., Hernández, D., He, Y., Ding, Z., Bo Xiong, B., Kharlamov, E., Staab, S.
Pubblicato in: 2025
Editore: ResearchGate
DOI: 10.48550/ARXIV.2505.16877

How CO2STLY Is CHI? The Carbon Footprint of Generative AI in HCI Research and What We Should Do About It

Autori: Nanna Inie, Jeanette Falk, Raghavendra Selvan
Pubblicato in: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025
Editore: ACM
DOI: 10.1145/3706598.3714227

Estimating Link Confidence for Human-in-the-Loop Table Annotation

Autori: Roberto Avogadro, Michele Ciavotta, Flavio De Paoli, Matteo Palmonari, Dumitru Roman
Pubblicato in: 2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2024
Editore: IEEE
DOI: 10.1109/WI-IAT59888.2023.00025

Combining Knowledge Graphs and NLP to Analyze Instant Messaging Data in Criminal Investigations

Autori: Riccardo Pozzi, Valentina Barbera, Renzo Alva Principe, Davide Giardini, Riccardo Rubini, Matteo Palmonari
Pubblicato in: Lecture Notes in Computer Science, Web Information Systems Engineering – WISE 2024, 2024
Editore: Springer Nature Singapore
DOI: 10.1007/978-981-96-0567-5_30

EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search

Autori: Pedram Bakhtiarifard, Christian Igel, Raghavendra Selvan
Pubblicato in: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
Editore: IEEE
DOI: 10.1109/ICASSP48485.2024.10448303

Towards InnoGraph: A Knowledge Graph for AI Innovation

Autori: M.Besher Massri, Blerina Spahiu, Marko Grobelnik, Vladimir Alexiev, Matteo Palmonari, Dumitru Roman
Pubblicato in: 3rd International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment (Sci-K 2023), 2023, ISBN 978-1-4503-9419-2
Editore: Association for Computing Machinery
DOI: 10.1145/3543873.3587614

DAGE: DAG Query Answering via Relational Combinator with Logical Constraints

Autori: He, Y., Xiong, B., Hernández, D., Yuqicheng Zhu, Y., Kharlamov, E., and S. Staab
Pubblicato in: 2025
Editore: arXiv
DOI: 10.48550/ARXIV.2410.22105

ExeKGLib: Knowledge Graphs-Empowered Machine Learning Analytics

Autori: A. Klironomos, B. Zhou, Z, Tan, Z. Zheng, G. Mohamed, H. Paulheim, E. Kharlamov
Pubblicato in: The Semantic Web: ESWC 2023 Satellite Events. ESWC 2023, 2023, ISBN 978-3-031-43457-0
Editore: Springer, Cham
DOI: 10.1007/978-3-031-43458-7_23

Towards Graph-based Cloud Cost Modelling and Optimisation

Autori: A. Q. Khan, N. Nikolov, M. Matskin, R. Prodan, C. Bussler, D. Roman, A. Soylu
Pubblicato in: 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC), 2023, ISSN 0730-3157
Editore: IEEE
DOI: 10.1109/COMPSAC57700.2023.00203

Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case

Autori: Z. Tan, B. Zhou, Z. Zheng, O. Savkovic, Z. Huang, I. Gonzalez, A. Soylu, Evgeny Kharlamov
Pubblicato in: The Semantic Web: ESWC 2023 Satellite Events. ESWC 2023, 2023, ISBN 978-3-031-47242-8
Editore: Springer, Cham
DOI: 10.1007/978-3-031-47243-5_25

Data Augmentation Does Not Necessarily Beat a Smart Algorithm

Autori: Krisztian Buza
Pubblicato in: 12th Japanese-Hungarian Symposium on Discrete Mathematics and Its Applications, 2023, ISBN 978-963-421-903-3
Editore: Budapest University of Technology and Economics
DOI: 10.5281/zenodo.8010581

Activation Compression of Graph Neural Networks Using Block-Wise Quantization with Improved Variance Minimization

Autori: Sebastian Eliassen, Raghavendra Selvan
Pubblicato in: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
Editore: IEEE
DOI: 10.1109/ICASSP48485.2024.10446393

Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case.

Autori: Zhou, B., Nikolov, N., Zheng, Z., Luo, X., Savkovic, O., Roman, D., Soylu, A., Kharlamov, E.
Pubblicato in: The Semantic Web – ISWC 2023. ISWC 2023, 2023, ISBN 978-3-031-47242-8
Editore: Springer, Cham
DOI: 10.1007/978-3-031-47243-5_21

An Energy-Based Comparative Analysis of Common Approaches to Text Classification in the Legal Domain

Autori: Sinan Gultekin, Achille Globo, Andrea Zugarini, Marc Ernandes, Leonardo Rigutini
Pubblicato in: AI, Machine Learning and Applications, 2024
Editore: Academy & Industry Research Collaboration Center
DOI: 10.5121/CSIT.2024.140203

Conformalized Answer Set Prediction for Knowledge Graph Embedding

Autori: Zhu, Y., Potyka, N., Pan, J., Xiong, B., He, Y., Kharlamov, E., and S. Staab
Pubblicato in: 2025
Editore: arXiv
DOI: 10.48550/ARXIV.2408.08248

Software Architectures for AI Systems: State of Practice and Challenges

Autori: Ian Gorton, Foutse Khomh, Valentina Lenarduzzi, Claudio Menghi, Dumitru Roman
Pubblicato in: Software Architecture, 2023, ISBN 978-3-031-36846-2
Editore: Springer, Cham
DOI: 10.1007/978-3-031-36847-9_2

Autori: Lam, A. N., Avogadro, R, Martin-Recuerda, F., Brian Elvesæter, B., Ma, X., Nystad, E.J., Roman D., and A. J. Berre
Pubblicato in: 2025
Editore: SINTEF

Thesis Proposal: Uncertainty in Knowledge Graph Embeddings

Autori: Yuqicheng Zhu
Pubblicato in: Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop), 2025
Editore: Association for Computational Linguistics
DOI: 10.18653/V1/2025.NAACL-SRW.4

Classification of Sparse and Irregularly Sampled Time Series with Convolutional Neural Networks

Autori: Krisztian Buza
Pubblicato in: 9th SIGKDD International Workshop on Mining and Learning from Time Series, 2023, ISBN 979-8-4007-0103-0
Editore: Association for Computing Machinery
DOI: 10.5281/zenodo.8186573

Addressing the Scalability Bottleneck of Semantic Technologies at Bosch

Autori: D. Rincon-Yanez, M. H. Gad-Elrab, D. Stepanova, K.Tran, C. C. Xuan, B. Zhou, E. Kharlamov
Pubblicato in: The Semantic Web: ESWC 2023 Satellite Events. ESWC 2023, 2023, ISBN 978-3-031-43457-0
Editore: Springer, Cham
DOI: 10.1007/978-3-031-43458-7_33

Time Series Forecasting with Distortion-Aware Convolutional Neural Networks

Autori: Krisztian Buza
Pubblicato in: 9th SIGKDD International Workshop on Mining and Learning from Time Series, 2023, ISBN 979-8-4007-0103-0
Editore: Association for Computing Machinery
DOI: 10.5281/zenodo.8186597

Geospatial Enrichment of Urban Data for Advanced City Planning: a Pilot Study

Autori: Iva Krasteva, Dessislava Petrova-Antonova, Flavio De Paoli, Emil Hristov, Milena Borukova, Michele Ciavotta, Roberto Avogadro
Pubblicato in: 2023 IEEE International Conference on Big Data (BigData), 2024
Editore: IEEE
DOI: 10.1109/BIGDATA59044.2023.10386822

Zero-Shot Hierarchical Classification on the Common Procurement Vocabulary Taxonomy

Autori: Federico Moiraghi, Matteo Palmonari, Davide Allavena, Federico Morando
Pubblicato in: 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), 2024
Editore: IEEE
DOI: 10.1109/COMPSAC61105.2024.00045

Characterizing street trees in three metropolises of central China by using Street View data: From individual trees to landscape mapping

Autori: Chentao Liang, Huan Jiang, Sijia Yang, Panli Tian, Xiang Ma, Zhonghua Tang, Huimei Wang, Wenjie Wang
Pubblicato in: Ecological Informatics, Numero 80, 2024, ISSN 1574-9541
Editore: Elsevier BV
DOI: 10.1016/J.ECOINF.2024.102480

Ten recommendations for reducing the carbon footprint of research computing in human neuroimaging

Autori: Nicholas E. Souter, Loïc Lannelongue, Gabrielle Samuel, Chris Racey, Lincoln J. Colling, Nikhil Bhagwat, Raghavendra Selvan, Charlotte L. Rae
Pubblicato in: Imaging Neuroscience, Numero 1, 2024, ISSN 2837-6056
Editore: MIT Press
DOI: 10.1162/IMAG_A_00043

Sensors

Autori: Khan, Akif Quddus, Nikolay Nikolov, Mihhail Matskin, Radu Prodan, Dumitru Roman, Bekir Sahin, Christoph Bussler, and Ahmet Soylu
Pubblicato in: Sensors, 2023, ISSN 1424-8220
Editore: MDPI
DOI: 10.3390/s23020564

An interactive approach to semantic enrichment with geospatial data

Autori: Flavio De Paoli, Michele Ciavotta, Roberto Avogadro, Emil Hristov, Milena Borukova, Dessislava Petrova-Antonova, Iva Krasteva
Pubblicato in: Data & Knowledge Engineering, Numero 153, 2024, ISSN 0169-023X
Editore: Elsevier BV
DOI: 10.1016/J.DATAK.2024.102341

Efficiency Is Not Enough: A Critical Perspective on Environmentally Sustainable AI

Autori: Dustin Wright, Christian Igel, Gabrielle Samuel, Raghavendra Selvan
Pubblicato in: Communications of the ACM, Numero 68, 2025, ISSN 0001-0782
Editore: Association for Computing Machinery (ACM)
DOI: 10.1145/3724500

Understanding the structure of knowledge graphs with ABSTAT profiles

Autori: Blerina Spahiu, Matteo Palmonari, Renzo Arturo Alva Principe, Anisa Rula
Pubblicato in: Semantic Web, Numero 15, 2025, ISSN 2210-4968
Editore: SAGE Publications
DOI: 10.3233/SW-223181

Computer

Autori: Nikolov, Nikolay; Solberg, Arnor; Prodan, Radu; Soylu, Ahmet; Matskin, Mihhail; Roman, Dumitru
Pubblicato in: Computer, 2023, ISSN 0018-9162
Editore: IEEE Computer Society
DOI: 10.1109/MC.2023.3285414

Towards unified aleatory and epistemic uncertainty quantification for machinery health prognostic through sequential heteroscedastic Gaussian process regression

Autori: Tao Liang, Fuli Wang, Shu Wang, Kang Li, Xiang Ma, Xuelei Mo
Pubblicato in: Advanced Engineering Informatics, Numero 62, 2024, ISSN 1474-0346
Editore: Elsevier BV
DOI: 10.1016/J.AEI.2024.102719

Evaluating Language Models on Entity Disambiguation in Tables.

Autori: Federico Belotti, Fabio D'Adda, Marco Cremaschi, Roberto Avogadro, Riccardo Pozzi, Matteo Palmonari
Pubblicato in: 2024
Editore: arXiv

MYAM: LLM-Supported Mapping Generation for Semantic Manufacturing Retrieval

Autori: Schmidt, W. J., Grangel-González, I., Huschle, T., Wagner, L., Kharlamov, E., and A. Paschke
Pubblicato in: 2025
Editore: ESWC 2025

Operating Critical Machine Learning Models in Resource Constrained Regimes

Autori: Selvan, Raghavendra; Schön, Julian; Dam, Erik B.
Pubblicato in: Selvan , R , Schön , J & Dam , E B 2024 , Operating Critical Machine Learning Models in Resource Constrained Regimes . in Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops : MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8–12, 2023, Proceedings . , Chapter 29 , Springer , Lecture Notes in Computer Science , vol. 14394 , pp. 325-335 , 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023 , Vancouver , Canada , 08/10/2023 . https://doi.org/10.1007/978-3-031-47425-5_29, 2024

Risultati finali

Pubblicazioni

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