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

Leistungen

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

Veröffentlichungen

Supplier Optimization at Bosch with Knowledge Graphs and Answer Set Programming

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

Is Adversarial Training with Compressed Datasets Effective?

Autoren: T. Chen, R. Selvan
Veröffentlicht in: 2025
Herausgeber: arXiv
DOI: 10.48550/ARXIV.2402.05675

Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings

Autoren: Zhu,Y., Hernández, D., He, Y., Ding, Z., Bo Xiong, B., Kharlamov, E., Staab, S.
Veröffentlicht in: 2025
Herausgeber: 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

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

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

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

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

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

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

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

Towards InnoGraph: A Knowledge Graph for AI Innovation

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

DAGE: DAG Query Answering via Relational Combinator with Logical Constraints

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

ExeKGLib: Knowledge Graphs-Empowered Machine Learning Analytics

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

Towards Graph-based Cloud Cost Modelling and Optimisation

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

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

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

Data Augmentation Does Not Necessarily Beat a Smart Algorithm

Autoren: Krisztian Buza
Veröffentlicht in: 12th Japanese-Hungarian Symposium on Discrete Mathematics and Its Applications, 2023, ISBN 978-963-421-903-3
Herausgeber: 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

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

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

Autoren: Zhou, B., Nikolov, N., Zheng, Z., Luo, X., Savkovic, O., Roman, D., Soylu, A., Kharlamov, E.
Veröffentlicht in: The Semantic Web – ISWC 2023. ISWC 2023, 2023, ISBN 978-3-031-47242-8
Herausgeber: 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

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

Conformalized Answer Set Prediction for Knowledge Graph Embedding

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

Software Architectures for AI Systems: State of Practice and Challenges

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

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

Thesis Proposal: Uncertainty in Knowledge Graph Embeddings

Autoren: Yuqicheng Zhu
Veröffentlicht 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
Herausgeber: Association for Computational Linguistics
DOI: 10.18653/V1/2025.NAACL-SRW.4

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

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

Addressing the Scalability Bottleneck of Semantic Technologies at Bosch

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

Time Series Forecasting with Distortion-Aware Convolutional Neural Networks

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

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

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

Zero-Shot Hierarchical Classification on the Common Procurement Vocabulary Taxonomy

Autoren: Federico Moiraghi, Matteo Palmonari, Davide Allavena, Federico Morando
Veröffentlicht in: 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), 2024
Herausgeber: 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

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

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

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

Sensors

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

An interactive approach to semantic enrichment with geospatial data

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

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

Autoren: Dustin Wright, Christian Igel, Gabrielle Samuel, Raghavendra Selvan
Veröffentlicht in: Communications of the ACM, Ausgabe 68, 2025, ISSN 0001-0782
Herausgeber: Association for Computing Machinery (ACM)
DOI: 10.1145/3724500

Understanding the structure of knowledge graphs with ABSTAT profiles

Autoren: Blerina Spahiu, Matteo Palmonari, Renzo Arturo Alva Principe, Anisa Rula
Veröffentlicht in: Semantic Web, Ausgabe 15, 2025, ISSN 2210-4968
Herausgeber: SAGE Publications
DOI: 10.3233/SW-223181

Computer

Autoren: Nikolov, Nikolay; Solberg, Arnor; Prodan, Radu; Soylu, Ahmet; Matskin, Mihhail; Roman, Dumitru
Veröffentlicht in: Computer, 2023, ISSN 0018-9162
Herausgeber: 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

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

Evaluating Language Models on Entity Disambiguation in Tables.

Autoren: Federico Belotti, Fabio D'Adda, Marco Cremaschi, Roberto Avogadro, Riccardo Pozzi, Matteo Palmonari
Veröffentlicht in: 2024
Herausgeber: arXiv

MYAM: LLM-Supported Mapping Generation for Semantic Manufacturing Retrieval

Autoren: Schmidt, W. J., Grangel-González, I., Huschle, T., Wagner, L., Kharlamov, E., and A. Paschke
Veröffentlicht in: 2025
Herausgeber: ESWC 2025

Operating Critical Machine Learning Models in Resource Constrained Regimes

Autoren: Selvan, Raghavendra; Schön, Julian; Dam, Erik B.
Veröffentlicht 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

Leistungen

Veröffentlichungen

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