Spatio-TEmporal Linked data tools for the AgRi-food data space

Risultati finali

Defines the project monitoring processes, conflict, risk management, deliverable review procedures, etc., to be used for a smooth project implementation.

Dissemination, communication and exploitation plan and reports (v3)

The main reference for communication activities, with guidelines for partners to disseminate and exploit results. Also includes an action plan on the planned synergies with complementary initiatives.

Use cases, requirements and architecture (v1)

A report presenting the analysis of the use cases, requirements and KPIs, and the design of the STELAR architecture; output of T1.1 and T1.2.

Dissemination, communication and exploitation plan and reports (v2)

The main reference for communication activities, with guidelines for partners to disseminate and exploit results. Also includes an action plan on the planned synergies with complementary initiatives.

Dissemination, communication and exploitation plan and reports (v1)

The main reference for communication activities, with guidelines for partners to disseminate and exploit results. Also includes an action plan on the planned synergies with complementary initiatives.

Sustainability & IPR management strategy (v2)

Reports identifying clear and timely measures towards capitalizing on and ensuring sustainability of STELAR results.

Piloting scenarios and evaluation plan (v1)

Report documenting the plan for the development of the demonstrators and the methodology and materials for the pilot trials, revised and updated before each piloting round; output of T5.1.

Sustainability & IPR management strategy (v1)

Reports identifying clear and timely measures towards capitalizing on and ensuring sustainability of STELAR results.

The STELAR KLMS (v1)

Software comprising the integrated KLMS, including the core platform and the data management tools; output of T1.5.

Spatio-temporal data alignment and correlations (v1)

Software tools for aligning and fusing spatio-temporal data and for discovering complex correlations; output of T3.3 and T3.4.

Spatial, temporal and textual data annotation (v1)

Software tools for automating the annotation and labeling of geospatial data, time series and text; output of T4.1 and T4.2.

Data profiling and summarization (v1)

Software tools for data profiling, cleaning, and summarization; output of T2.1 and T2.2.

Data catalog and knowledge graph (v1)

The software comprising the STELAR data catalog and KG; output of T2.3 and T2.4.

Bias detection and synthetic data generation (v1)

Software tools for detecting data bias and for generating synthetic data; output of T4.3 and T4.4.

Workflow manager and user APIs (v1)

Software components including the workflow manager and the user management infrastructure, dashboards and APIs; output of T1.3 and T1.4.

Schema matching and entity linking (v1)

Software tools for automating the specification of mappings and links between schemas, ontologies, vocabularies, and data instances; output of T3.1 and T3.2.

Data management plan

Report presenting the methodology regarding the collection, handling, exploitation, and dissemination of all data assets applied in the project.

Pubblicazioni

Using LLMs to Extract Food Entities from Cooking Recipes

Autori: Vasiliki Pitsilou, George Papadakis, Dimitrios Skoutas
Pubblicato in: 2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW), 2025
Editore: IEEE
DOI: 10.1109/ICDEW61823.2024.00008

MMM-fair: An Interactive Toolkit for Exploring and Operationalizing Multi-Fairness Trade-offs

Autori: Swati Swati, Arjun Roy, Emmanouil Panagiotou, Eirini Ntoutsi
Pubblicato in: CIKM 2025, 2025
Editore: ACM
DOI: 10.1145/3746252.3761476

Self-configured Entity Resolution with pyJedAI

Autori: Efthymiou Vasilis, Ekaterini Ioannou, Manos Karvounis, Manolis Koubarakis, Jakub Maciejewski, Konstantinos Nikoletos, George Papadakis, Dimitrios Skoutas, Yannis Velegrakis, and Alexandros Zeakis
Pubblicato in: IEEE Big Data 2023 (vision paper), 2023
Editore: IEEE
DOI: 10.5281/zenodo.10070414

Exploring Fusion Techniques in Multimodal AI-Based Recruitment: Insights from FairCVdb

Autori: Swati Swati, Arjun Roy, Eirini Ntoutsi
Pubblicato in: EWAF’24, 2024
Editore: CEUR-WS
DOI: 10.48550/ARXIV.2407.16892

MultiCast: Zero-Shot Multivariate Time Series Forecasting Using LLMs

Autori: Georgios Chatzigeorgakidis, Konstantinos Lentzos, Dimitrios Skoutas
Pubblicato in: 2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW), 2024
Editore: IEEE
DOI: 10.1109/ICDEW61823.2024.00022

A Critical Re-evaluation of Benchmark Datasets for (Deep) Learning-Based Matching Algorithms

Autori: George Papadakis, Nishadi Kirielle, Peter Christen, Themis Palpanas
Pubblicato in: IEEE International Conference on Data Engineering (ICDE), 2024
Editore: IEEE
DOI: 10.48550/arXiv.2307.01231

Entity Matching with 7B LLMs: A Study on Prompting Strategies and Hardware Limitations

Autori: Arvanitis-Kasinikos, Ioannis, and George Papadakis
Pubblicato in: 27th International Workshop on Design, Optimization, Lan- guages and Analytical Processing of Big Data, 2025
Editore: CEUR-WS

Achieving Socio-Economic Parity through the Lens of EU AI Act.

Autori: Arjun Roy, Stavroula Rizou, Symeon Papadopoulos, Eirini Ntoutsi
Pubblicato in: Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency. 2025., 2025
Editore: ACM
DOI: 10.48550/ARXIV.2503.23056

Unlocking LLMs: Addressing Scarce Data and Bias Challenges in Mental Health and Therapeutic Counselling

Autori: Vivek Kumar, Eirini Ntoutsi, Pushpraj Singh Rajawat, Giacomo Medda, Diego Reforgiato Recupero
Pubblicato in: Proceedings of the First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security. 2024, 2024
Editore: International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security
DOI: 10.48550/ARXIV.2412.12981

Tabcf: Counterfactual explanations for tabular data using a transformer-based vae,

Autori: Emmanouil Panagiotou, Manuel Heurich, Tim Landgraf, Eirini Ntoutsi
Pubblicato in: Proceedings of the 5th ACM International Conference on AI in Finance. 2024, 2024
Editore: ACM
DOI: 10.48550/ARXIV.2410.10463

Benchmarking Filtering Techniques for Entity Resolution

Autori: George Papadakis, Marco Fisichella, Franziska Schoger, George Mandilaras, Nikolaus Augsten, and Wolfgang Nejdl
Pubblicato in: 39th International Conference on Data Engineering (ICDE) 2023, 2023
Editore: IEEE
DOI: 10.48550/arXiv.2202.12521

Synopses for Summarizing Spatial Data Streams

Autori: Kiezebrink, Jacco J.E.; Punter, Wieger R.; Papapetrou, Odysseas; Verbeek, Kevin A.B.
Pubblicato in: International Conference on Extending Database Technology (EDBT), 2024
Editore: OpenProceedings
DOI: 10.48786/EDBT.2025.23

KGSEC: A Modular Framework for Knowledge Graph Schema Extraction and Comparison

Autori: Petros Skoufis, Dimitrios Skoutas
Pubblicato in: 2024 IEEE 40th International Conference on Data Engineering (ICDE), 2024
Editore: IEEE
DOI: 10.1109/ICDE60146.2024.00426

The Five Generations of Entity Resolution on Web Data

Autori: Konstantinos Nikoletos, Ekaterini Ioannou, George Papadakis
Pubblicato in: Lecture Notes in Computer Science, Web Engineering, 2024
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-62362-2_46

MULISSE: Variable-Length Similarity Search for Multivariate Time Series

Autori: Balázs Pelok, Jens E. d'Hondt
Pubblicato in: 2025 IEEE 41st International Conference on Data Engineering Workshops (ICDEW), 2025
Editore: IEEE
DOI: 10.1109/ICDEW67478.2025.00026

Leaf Area Index Time Series Imputation for Early Yield Prediction

Autori: Christoph Jörges, Jens d'Hondt, Georgios Chatzigeorgakidis, Silke Migdall, Christian Miesgang, Susanne Karg, Heike Bach, Panagiotis Betchavas, Dimitrios Skoutas
Pubblicato in: Big Data from Space (BiDS'23), 2023, ISBN 978-92-68-08696-4
Editore: Publications Office of the European Union
DOI: 10.5281/zenodo.10958959

ChronoTab: Forecasting Multivariate Time Series with Tabular LLMs

Autori: Zeakis, Alexandros; Chatzigeorgakidis, Georgios; Lentzos, Konstantinos; Skoutas, Dimitrios
Pubblicato in: 2025 IEEE 41st International Conference on Data Engineering Workshops (ICDEW), 2025
Editore: IEEE
DOI: 10.1109/ICDEW67478.2025.00025

AvengER: Ensembling and Fine-Tuning LLMs for SELECT Prompts in Entity Resolution

Autori: Alexandros Zeakis, George Papadakis, Dimitrios Skoutas, Manolis Koubarakis
Pubblicato in: Lecture Notes in Computer Science, The Semantic Web, 2025
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-94575-5_17

Autori: Odysseas Papapetrou, Jens E. d'Hondt
Pubblicato in: 2024 IEEE 40th International Conference on Data Engineering (ICDE), 2024
Editore: IEEE
DOI: 10.1109/ICDE60146.2024.00461

pyJedAI: a Lightsaber for Link Discovery

Autori: Nikoletos, Konstantinos, George Papadakis, and Manolis Koubarakis
Pubblicato in: ISWC (Posters/Demos/Industry) 2022, 2022
Editore: CEUR-WS.org
DOI: 10.13140/RG.2.2.12171.16160

Adversarial Robustness of VAEs across Intersectional Subgroups

Autori: Chethan Krishnamurthy Ramanaik, Arjun Roy, Eirini Ntoutsi
Pubblicato in: 4th Workshop on Bias and Fairness in AI Workshop at ECML PKDD 2024, 2024
Editore: ECMLPKDD
DOI: 10.48550/ARXIV.2407.03864

TABFAIRGDT: A Fast Fair Tabular Data Generator using Autoregressive Decision Trees

Autori: Emmanouil Panagiotou, Benoît Ronval, Arjun Roy, Ludwig Bothmann, Bernd Bischl, Siegfried Nijssen, Eirini Ntoutsi
Pubblicato in: IEEE International Conference on Data Mining (ICDM), 2025
Editore: IEEE
DOI: 10.48550/ARXIV.2509.19927

FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning

Autori: Arjun Roy, Christos Koutlis, Symeon Papadopoulos, Eirini Ntoutsi
Pubblicato in: 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024, 2024
Editore: IEEE
DOI: 10.48550/ARXIV.2310.13746

ExtremeEarth: Managing Water Availability for Crops Using Earth Observation and Machine Learning

Autori: Florian Appel, Heike Bach, Silke Migdall, Manolis Koubarakis, George Stamoulis, Dimitris Bilidas, Despina-Athanasia Pantazi, Lorenzo Bruzzone, Claudia Paris, and Giulio Weikmann
Pubblicato in: EDBT 2023, 2023
Editore: OpenProceedings.org
DOI: 10.5281/zenodo.7808413

The Question Answering System GeoQA2

Autori: Dharmen Punjani, Sergios-Anestis Kefalidis, Konstantinos Plas, Eleni Tsalapati, Manolis Koubarakis, Pierre Maret
Pubblicato in: 2nd International Workshop on Geospatial Knowledge Graphs and GeoAI, 2023
Editore: Zenodo
DOI: 10.5281/zenodo.10423032

Supervised Scheduling for Geospatial Interlinking

Autori: Siampou Maria Despoina, George Papadakis, Nikos Mamoulis, and Manolis Koubarakis
Pubblicato in: 31st ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL’23), 2023
Editore: ACM
DOI: 10.5281/zenodo.10070449

Synthetic tabular data generation for class imbalance and fairness: A comparative study

Autori: Emmanouil Panagiotou, Arjun Roy, Eirini Ntoutsi
Pubblicato in: 4th Workshop on Bias and Fairness in AI Workshop at ECML PKDD 2024, 2024
Editore: ECMLPKDD
DOI: 10.48550/ARXIV.2409.05215

Beyond the dimensions: A structured evaluation of multivariate time series distance measures

Autori: Jens E d’Hondt, Odysseas Papapetrou, John Paparrizos
Pubblicato in: 2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW), 2024
Editore: IEEE
DOI: 10.1109/ICDEW61823.2024.00020

Pre-trained Embeddings for Entity Resolution: An Experimental Analysis

Autori: Alexandros Zeakis, George Papadakis, Dimitrios Skoutas, and Manolis Koubarakis
Pubblicato in: Proceedings of the VLDB Endowment, Numero 16, 2023, ISSN 2150-8097
Editore: VLDB Endowment
DOI: 10.14778/3598581.3598594

And synopses for all: A synopses data engine for extreme scale analytics-as-a-service

Autori: Antonios Kontaxakis, Nikos Giatrakos, Dimitris Sacharidis, and Antonios Deligiannakis
Pubblicato in: Information Systems, 2023, ISSN 0306-4379
Editore: Elsevier Science & Technology
DOI: 10.1016/j.is.2023.102221

OmniSketch: Streaming Data Analytics with Arbitrary Predicates

Autori: Wieger R. Punter, Odysseas Papapetrou, Minos Garofalakis
Pubblicato in: ACM SIGMOD Record, Numero 54, 2025, ISSN 0163-5808
Editore: Association for Computing Machinery (ACM)
DOI: 10.1145/3733620.3733627

Efficient detection of multivariate correlations with different correlation measures

Autori: Jens E. d'Hondt, Koen Minartz, Odysseas Papapetrou
Pubblicato in: VLDB Journal, Numero 33, 2024, ISSN 1066-8888
Editore: Springer-Verlag
DOI: 10.1007/s00778-023-00815-y

A Structured Study of Multivariate Time-Series Distance Measures

Autori: Jens E. d'Hondt, Haojun Li, Fan Yang, Odysseas Papapetrou, John Paparrizos
Pubblicato in: Proceedings of the ACM on Management of Data, Numero 3, 2025, ISSN 2836-6573
Editore: Association for Computing Machinery (ACM)
DOI: 10.1145/3725258

Auto-Configuring Entity Resolution Pipelines

Autori: Konstantinos Nikoletos, Vasilis Efthymiou, George Papadakis, Kostas Stefanidis
Pubblicato in: IEEE Access, Numero 13, 2025, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2025.3600541

GSM: A generalized approach to Supervised Meta-blocking for scalable entity resolution

Autori: Gagliardelli Luca, George Papadakis, Giovanni Simonini, Sonia Bergamaschi, and Themis Palpanas
Pubblicato in: Information Systems, 2023, ISSN 0306-4379
Editore: Elsevier Science & Technology
DOI: 10.1016/j.is.2023.102307

OmniSketch: Efficient Multi-Dimensional High-Velocity Stream Analytics with Arbitrary Predicates

Autori: Wieger R. Punter, Odysseas Papapetrou, Minos N. Garofalakis
Pubblicato in: Proceedings of the VLDB Endowment, Numero 17, 2023, ISSN 2150-8097
Editore: VLDB Endowment Inc.
DOI: 10.14778/3632093.3632098

<scp>py</scp>J<scp>ed</scp>AI: A Library with Resolution-Related Structures and Procedures for Products

Autori: Ekaterini Ioannou, Konstantinos Nikoletos, George Papadakis
Pubblicato in: INFORMS Journal on Computing, Numero 37, 2025, ISSN 1091-9856
Editore: Institute for Operations Research and the Management Sciences (INFORMS)
DOI: 10.1287/IJOC.2023.0410

An analysis of one-to-one matching algorithms for entity resolution

Autori: Papadakis George, Efthymiou Vasilis, Thanos Emmanouil, Hassanzadeh Oktie, and Christen Peter
Pubblicato in: The VLDB Journal, 2023, ISSN 1066-8888
Editore: Springer
DOI: 10.1007/s00778-023-00791-3

TokenJoin: Efficient Filtering for Set Similarity Join with Maximum Weighted Bipartite Matching

Autori: Zeakis Alexandros, Dimitrios Skoutas, Dimitris Sacharidis, Odysseas Papapetrou, and Manolis Koubarakis
Pubblicato in: Proceedings of the VLDB Endowment, 2022, ISSN 2150-8097
Editore: VLDB Endowment
DOI: 10.14778/3574245.3574263

Progressive Entity Matching: A Design Space Exploration

Autori: Jakub Maciejewski, Konstantinos Nikoletos, George Papadakis, Yannis Velegrakis
Pubblicato in: Proceedings of the ACM on Management of Data, Numero 3, 2025, ISSN 2836-6573
Editore: Association for Computing Machinery (ACM)
DOI: 10.1145/3709715

Three-dimensional Geospatial Interlinking with JedAI-spatial

Autori: Marios Papamichalopoulos; George Papadakis; George Mandilaras; Maria Siampou; Nikos Mamoulis; Manolis Koubarakis
Pubblicato in: Journal of Web Semantics, 2024, ISSN 1873-7749
Editore: Elsevier
DOI: 10.48550/ARXIV.2205.01905

Risultati finali

Pubblicazioni

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