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

Project Information

enRichMyData

Grant agreement ID: 101070284

DOI

10.3030/101070284

Project closed

EC signature date 22 June 2022

Start date 1 October 2022

End date 30 September 2025

Funded under

• Digital, Industry and Space

Total cost

€ 5 887 140,00

EU contribution

€ 4 999 941,50

Coordinated by

SINTEF AS
Norway

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

Other (3)

enRichMyData architecture

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

Documents, reports (2)

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

Publications

Conference proceedings (25)

Supplier Optimization at Bosch with Knowledge Graphs and Answer Set Programming

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

Is Adversarial Training with Compressed Datasets Effective?

Author(s): T. Chen, R. Selvan
Published in: 2025
Publisher: arXiv
DOI: 10.48550/ARXIV.2402.05675

Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings

Author(s): Zhu,Y., Hernández, D., He, Y., Ding, Z., Bo Xiong, B., Kharlamov, E., Staab, S.
Published in: 2025
Publisher: 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

Author(s): Nanna Inie, Jeanette Falk, Raghavendra Selvan
Published in: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025
Publisher: ACM
DOI: 10.1145/3706598.3714227

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

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

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

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

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

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

Towards InnoGraph: A Knowledge Graph for AI Innovation

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

DAGE: DAG Query Answering via Relational Combinator with Logical Constraints

Author(s): He, Y., Xiong, B., Hernández, D., Yuqicheng Zhu, Y., Kharlamov, E., and S. Staab
Published in: 2025
Publisher: arXiv
DOI: 10.48550/ARXIV.2410.22105

ExeKGLib: Knowledge Graphs-Empowered Machine Learning Analytics

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

Towards Graph-based Cloud Cost Modelling and Optimisation

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

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

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

Data Augmentation Does Not Necessarily Beat a Smart Algorithm

Author(s): Krisztian Buza
Published in: 12th Japanese-Hungarian Symposium on Discrete Mathematics and Its Applications, 2023, ISBN 978-963-421-903-3
Publisher: 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

Author(s): Sebastian Eliassen, Raghavendra Selvan
Published in: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
Publisher: IEEE
DOI: 10.1109/ICASSP48485.2024.10446393

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

Author(s): Zhou, B., Nikolov, N., Zheng, Z., Luo, X., Savkovic, O., Roman, D., Soylu, A., Kharlamov, E.
Published in: The Semantic Web – ISWC 2023. ISWC 2023, 2023, ISBN 978-3-031-47242-8
Publisher: 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

Author(s): Sinan Gultekin, Achille Globo, Andrea Zugarini, Marc Ernandes, Leonardo Rigutini
Published in: AI, Machine Learning and Applications, 2024
Publisher: Academy & Industry Research Collaboration Center
DOI: 10.5121/CSIT.2024.140203

Conformalized Answer Set Prediction for Knowledge Graph Embedding

Author(s): Zhu, Y., Potyka, N., Pan, J., Xiong, B., He, Y., Kharlamov, E., and S. Staab
Published in: 2025
Publisher: arXiv
DOI: 10.48550/ARXIV.2408.08248

Software Architectures for AI Systems: State of Practice and Challenges

Author(s): Ian Gorton, Foutse Khomh, Valentina Lenarduzzi, Claudio Menghi, Dumitru Roman
Published in: Software Architecture, 2023, ISBN 978-3-031-36846-2
Publisher: Springer, Cham
DOI: 10.1007/978-3-031-36847-9_2

Author(s): Lam, A. N., Avogadro, R, Martin-Recuerda, F., Brian Elvesæter, B., Ma, X., Nystad, E.J., Roman D., and A. J. Berre
Published in: 2025
Publisher: SINTEF

Thesis Proposal: Uncertainty in Knowledge Graph Embeddings

Author(s): Yuqicheng Zhu
Published 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
Publisher: Association for Computational Linguistics
DOI: 10.18653/V1/2025.NAACL-SRW.4

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

Author(s): Krisztian Buza
Published in: 9th SIGKDD International Workshop on Mining and Learning from Time Series, 2023, ISBN 979-8-4007-0103-0
Publisher: Association for Computing Machinery
DOI: 10.5281/zenodo.8186573

Addressing the Scalability Bottleneck of Semantic Technologies at Bosch

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

Time Series Forecasting with Distortion-Aware Convolutional Neural Networks

Author(s): Krisztian Buza
Published in: 9th SIGKDD International Workshop on Mining and Learning from Time Series, 2023, ISBN 979-8-4007-0103-0
Publisher: Association for Computing Machinery
DOI: 10.5281/zenodo.8186597

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

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

Zero-Shot Hierarchical Classification on the Common Procurement Vocabulary Taxonomy

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

Peer reviewed articles (8)

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

Author(s): Chentao Liang, Huan Jiang, Sijia Yang, Panli Tian, Xiang Ma, Zhonghua Tang, Huimei Wang, Wenjie Wang
Published in: Ecological Informatics, Issue 80, 2024, ISSN 1574-9541
Publisher: Elsevier BV
DOI: 10.1016/J.ECOINF.2024.102480

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

Author(s): Nicholas E. Souter, Loïc Lannelongue, Gabrielle Samuel, Chris Racey, Lincoln J. Colling, Nikhil Bhagwat, Raghavendra Selvan, Charlotte L. Rae
Published in: Imaging Neuroscience, Issue 1, 2024, ISSN 2837-6056
Publisher: MIT Press
DOI: 10.1162/IMAG_A_00043

Sensors

Author(s): Khan, Akif Quddus, Nikolay Nikolov, Mihhail Matskin, Radu Prodan, Dumitru Roman, Bekir Sahin, Christoph Bussler, and Ahmet Soylu
Published in: Sensors, 2023, ISSN 1424-8220
Publisher: MDPI
DOI: 10.3390/s23020564

An interactive approach to semantic enrichment with geospatial data

Author(s): Flavio De Paoli, Michele Ciavotta, Roberto Avogadro, Emil Hristov, Milena Borukova, Dessislava Petrova-Antonova, Iva Krasteva
Published in: Data & Knowledge Engineering, Issue 153, 2024, ISSN 0169-023X
Publisher: Elsevier BV
DOI: 10.1016/J.DATAK.2024.102341

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

Author(s): Dustin Wright, Christian Igel, Gabrielle Samuel, Raghavendra Selvan
Published in: Communications of the ACM, Issue 68, 2025, ISSN 0001-0782
Publisher: Association for Computing Machinery (ACM)
DOI: 10.1145/3724500

Understanding the structure of knowledge graphs with ABSTAT profiles

Author(s): Blerina Spahiu, Matteo Palmonari, Renzo Arturo Alva Principe, Anisa Rula
Published in: Semantic Web, Issue 15, 2025, ISSN 2210-4968
Publisher: SAGE Publications
DOI: 10.3233/SW-223181

Computer

Author(s): Nikolov, Nikolay; Solberg, Arnor; Prodan, Radu; Soylu, Ahmet; Matskin, Mihhail; Roman, Dumitru
Published in: Computer, 2023, ISSN 0018-9162
Publisher: 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

Author(s): Tao Liang, Fuli Wang, Shu Wang, Kang Li, Xiang Ma, Xuelei Mo
Published in: Advanced Engineering Informatics, Issue 62, 2024, ISSN 1474-0346
Publisher: Elsevier BV
DOI: 10.1016/J.AEI.2024.102719

Other (3)

Evaluating Language Models on Entity Disambiguation in Tables.

Author(s): Federico Belotti, Fabio D'Adda, Marco Cremaschi, Roberto Avogadro, Riccardo Pozzi, Matteo Palmonari
Published in: 2024
Publisher: arXiv

MYAM: LLM-Supported Mapping Generation for Semantic Manufacturing Retrieval

Author(s): Schmidt, W. J., Grangel-González, I., Huschle, T., Wagner, L., Kharlamov, E., and A. Paschke
Published in: 2025
Publisher: ESWC 2025

Operating Critical Machine Learning Models in Resource Constrained Regimes

Author(s): Selvan, Raghavendra; Schön, Julian; Dam, Erik B.
Published 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