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CORDIS - Risultati della ricerca dell’UE
CORDIS

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

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Project management guide (si apre in una nuova finestra)

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) (si apre in una nuova finestra)

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) (si apre in una nuova finestra)

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) (si apre in una nuova finestra)

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) (si apre in una nuova finestra)

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) (si apre in una nuova finestra)

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

Piloting scenarios and evaluation plan (v1) (si apre in una nuova finestra)

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) (si apre in una nuova finestra)

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

The STELAR KLMS (v1) (si apre in una nuova finestra)

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) (si apre in una nuova finestra)

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) (si apre in una nuova finestra)

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) (si apre in una nuova finestra)

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

Data catalog and knowledge graph (v1) (si apre in una nuova finestra)

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

Bias detection and synthetic data generation (v1) (si apre in una nuova finestra)

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

Workflow manager and user APIs (v1) (si apre in una nuova finestra)

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) (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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

Pubblicazioni

Pre-trained Embeddings for Entity Resolution: An Experimental Analysis (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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

Efficient detection of multivariate correlations with different correlation measures (si apre in una nuova finestra)

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

GSM: A generalized approach to Supervised Meta-blocking for scalable entity resolution (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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

An analysis of one-to-one matching algorithms for entity resolution (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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

Self-configured Entity Resolution with pyJedAI (si apre in una nuova finestra)

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

A Critical Re-evaluation of Benchmark Datasets for (Deep) Learning-Based Matching Algorithms (si apre in una nuova finestra)

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

Benchmarking Filtering Techniques for Entity Resolution (si apre in una nuova finestra)

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

Leaf Area Index Time Series Imputation for Early Yield Prediction (si apre in una nuova finestra)

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

pyJedAI: a Lightsaber for Link Discovery (si apre in una nuova finestra)

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

ExtremeEarth: Managing Water Availability for Crops Using Earth Observation and Machine Learning (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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

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