Giorgos Santipantakis
Verified @gmail.com
University of Piraeus
RESEARCH, TEACHING, or OTHER INTERESTS
Information Systems
Scopus Publications
- Semantic data transformation, FAIRification and provenance for data spaces
Georgios M. Santipantakis, Christos Doulkeridis, Petros Brimos
Data in Brief, 2026
Despite recent advancements in standardized data exchange and governance, facilitated by the concept of data spaces, data providers still lack essential tools to enable participation in data spaces. This limitation primarily stems from the fact that data is typically collected or generated in arbitrary formats, employing diverse types, flexible, and evolving schemas, as well as different data modalities (text, image, video, time series, etc.). Consequently, semantic interoperability and compliance with the FAIR principles are often overlooked, which compromises the utility of shareable data. In this work, we propose a framework that transforms raw or semi-structured data into trustworthy data made available via a data space. Our approach can be utilized to facilitate accessibility, interoperability and reuse by generating an RDF representation of a given dataset, in compliance with a specified input ontology that describes the application domain. The proposed framework also produces valuable metadata during data transformation, which is registered in a catalog to support the findability of the datasets. Furthermore, a change tracking algorithm is applied to detect modifications in the data between consecutive versions of datasets, thereby improving the overall user experience in identifying the most suitable dataset and version for each use case. We evaluate the applicability of our framework in a real-world use case scenario from the urban domain that involves multiple diverse datasets. The proposed framework enables the seamless onboarding of new participants in data spaces. - Online spatial reasoning for complex event recognition
Elias Alevizos, Georgios M. Santipantakis, Christos Doulkeridis, Alexander Artikis
Geoinformatica, 2026 - Modular and Multimodal Generative Adversarial Imitation Learning for Modeling Flight Trajectories
Christos Spatharis, Konstantinos Blekas, George Santipantakis, George Vouros
Journal of Air Transportation, 2025
We aim to imitate the execution of modular tasks by exploiting unsegmented trajectories that demonstrate the execution of these tasks. This is challenging since the execution of tasks follows different modes (i.e., patterns of behavior), which may exist in various mixtures within subtasks, and the identification of trajectories’ modules (i.e., subtrajectories executing subtasks) may not be easy. This paper addresses the modularity of trajectories in conjunction with multimodality toward imitating the execution of aircraft trajectories. It proposes an imitation learning framework for the aircraft trajectory prediction problem, which segments demonstrated aircraft trajectories into subtrajectories corresponding to flight phases. This facilitates disentangling modes and learning a mixture of policies per flight phase. While trajectories are segmented using domain-specific rules, a mixture of policies per flight phase is learned by a generative multimodal imitation learning method. This modular approach enables accurate prediction of both modes and subtrajectories, which finally results in predicting the evolution of the aircraft state across the whole trajectory in a compositional way. Experiments using a real-world dataset of long flights show the potential of the proposed framework to disentangle multimodal trajectories in real-world settings and predict trajectories with high accuracy, in comparison to methods that do not exploit subtrajectories. ¶ - Machine-Learning Methods Estimating Flights’ Hidden Parameters for the Prediction of KPIs
George Vouros, Ioannis Ioannidis, Georgios Santipantakis, Theodore Tranos, Konstantinos Blekas, Marc Melgosa, Xavier Prats
Aerospace, 2024
Complex microscopic simulation models of strategic Air Traffic Management (ATM) performance assessment and decision-making are hindered by several factors. One of the most important is the existence of hidden parameters—such as aircraft take-off weight (TOW) and the selected cost index (CI)—which, if known, would allow for more effective performance modeling methodologies for assessing Key Performance Indicators (KPIs) at various levels of abstraction/detail, e.g., system-wide, or at the level of individual flights. This research proposes a data-driven methodology for the estimation of flights’ hidden parameters combining mechanistic and advanced Artificial Intelligence/Machine Learning (AI/ML) models. Aiming at microsimulation models, our goal is to study the effect of these estimations on the prediction of flights’ KPIs. In so doing, we propose a novel methodology according to which data-driven methods are trained given optimal trajectories (produced by mechanistic models) corresponding to known hidden parameter values, with the aim of predicting hidden parameters’ values of unseen trajectories. The results show that estimations of hidden parameters support the accurate prediction of KPIs regarding the efficiency of flights: fuel consumption, gate-to-gate time and distance flown. - Online Integration of Spatial Reasoning in Complex Event Recognition
Ceur Workshop Proceedings, 2024 - An RDF Benchmark for Enriched Maritime Data
Georgios M Santipantakis, Christos Doulkeridis
Emode 2023 Proceedings of the 1st ACM Sigspatial International Workshop on Methods for Enriched Mobility Data Emerging Issues and Ethical Perspectives, 2023
This paper provides an RDF benchmark for triple stores for querying maritime data. The benchmark comes with an integrated data set of real-world data from diverse sources, which has been transformed to RDF triples, and a set of 15 SPARQL queries of varying complexity. Differently from previous available benchmarks that have focused on spatial RDF data, our work targets RDF data about trajectories of moving vessels, therefore the focus is on spatio-temporal RDF data. We present the process to generate the integrated data set, we delve into the details of the benchmark queries, and we provide evaluation results using a selected RDF triple store as a showcase. Furthermore, we make all data, queries and results publicly available to stimulate further research in the field. - Explaining deep reinforcement learning decisions in complex multiagent settings: towards enabling automation in air traffic flow management
Theocharis Kravaris, Konstantinos Lentzos, Georgios Santipantakis, George A. Vouros, Gennady Andrienko, Natalia Andrienko, Ian Crook, Jose Manuel Cordero Garcia, Enrique Iglesias Martinez
Applied Intelligence, 2023 - An Ontology for Representing and Querying Semantic Trajectories in the Maritime Domain
Georgios M. Santipantakis, Christos Doulkeridis, George A. Vouros
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2023 - MobiSpaces: An Architecture for Energy-Efficient Data Spaces for Mobility Data
Christos Doulkeridis, Georgios M. Santipantakis, Nikolaos Koutroumanis, George Makridis, Vasilis Koukos, George S. Theodoropoulos, Yannis Theodoridis, Dimosthenis Kyriazis, Pavlos Kranas, Diego Burgos, Ricardo Jimenez-Peris, Mariana M G Duarte, Mahmoud Sakr, Esteban Zimányi, Anita Graser, Clemens Heistracher, Kristian Torp, Ioannis Chrysakis, Theofanis Orphanoudakis, Evgenia Kapassa, Marios Touloupou, Jürgen Neises, Petros Petrou, Sophia Karagiorgou, Rosario Catelli, Domenico Messina, Marcelo Corrales Compagnucci, Matteo Falsetta
Proceedings 2023 IEEE International Conference on Big Data Bigdata 2023, 2023
In this paper, we present an architecture for mobility data spaces enabling trustworthy and reliable data operations along with its main constituent parts. The architecture makes use of a data lake for scalable storage of diverse mobility data sets, on top of which separate computing and storage layers are implemented to allow independent scaling with a data operations toolbox providing all data operations. Furthermore, to cater for mobility analytics, machine learning and artificial intelligence support, an edge analytics suite is provided that encompasses distributed algorithms for mobility analytics and federated learning, thereby exploiting edge computing technologies. In turn, this is supported by a resource allocator that monitors the energy consumption of data-intensive operations and provides this information to the platform for intelligent task placement in edge devices, aiming at energy-efficient operations. As a result, an end-to-end platform is proposed that combines data services and infrastructure services towards supporting mobility application domains, such as urban and maritime. - RDF-Gen: generating RDF triples from big data sources
Georgios M. Santipantakis, Konstantinos I. Kotis, Apostolos Glenis, George A. Vouros, Christos Doulkeridis, Akrivi Vlachou
Knowledge and Information Systems, 2022 - Scalable enrichment of mobility data with weather information
Nikolaos Koutroumanis, Georgios M. Santipantakis, Apostolos Glenis, Christos Doulkeridis, George A. Vouros
Geoinformatica, 2021 - Coronis: Towards integrated and open COVID-19 data
Santipantakis, Giorgos, George A. Vouros, Christos Doulkeridis
Advances in Database Technology Edbt, 2021 - Link Discovery for Maritime Monitoring
Georgios M. Santipantakis, Christos Doulkeridis, George A. Vouros
Guide to Maritime Informatics, 2021 - SPARTAN: Semantic integration of big spatio-temporal data from streaming and archival sources
Georgios M. Santipantakis, Apostolos Glenis, Kostas Patroumpas, Akrivi Vlachou, Christos Doulkeridis, George A. Vouros, Nikos Pelekis, Yannis Theodoridis
Future Generation Computer Systems, 2020 - A semantic mixed reality framework for shared cultural experiences ecosystems
Costas Vassilakis, Konstantinos Kotis, Dimitris Spiliotopoulos, Dionisis Margaris, Vlasios Kasapakis, Christos-Nikolaos Anagnostopoulos, Georgios Santipantakis, George A. Vouros, Theodore Kotsilieris, Volha Petukhova, Andrei Malchanau, Ioanna Lykourentzou, Kaj Michael Helin, Artem Revenko, Nenad Gligoric, Boris Pokric
Big Data and Cognitive Computing, 2020 - Modeling mobility data and constructing large knowledge graphs to support analytics: The datacron ontology
Georgios M. Santipantakis, George A. Vouros, Akrivi Vlachou, Christos Doulkeridis
Big Data Analytics for Time Critical Mobility Forecasting from Raw Data to Trajectory Oriented Mobility Analytics in the Aviation and Maritime Domains, 2020 - Integrating data by discovering topological and proximity relations among spatiotemporal entities
Georgios M. Santipantakis, Christos Doulkeridis, Akrivi Vlachou, George A. Vouros
Big Data Analytics for Time Critical Mobility Forecasting from Raw Data to Trajectory Oriented Mobility Analytics in the Aviation and Maritime Domains, 2020 - The datAcron Ontology for the Specification of Semantic Trajectories: Specification of Semantic Trajectories for Data Transformations Supporting Visual Analytics
George A. Vouros, Georgios M. Santipantakis, Christos Doulkeridis, Akrivi Vlachou, Gennady Andrienko, Natalia Andrienko, Georg Fuchs, Jose Manuel Cordero Garcia, Miguel Garcia Martinez
Journal on Data Semantics, 2019 - Argo: A big data framework for online trajectory prediction
Petros Petrou, Panagiotis Nikitopoulos, Panagiotis Tampakis, Apostolos Glenis, Nikolaos Koutroumanis, Georgios M. Santipantakis, Kostas Patroumpas, Akrivi Vlachou, Harris Georgiou, Eva Chondrodima, Christos Doulkeridis, Nikos Pelekis, Gennady L. Andrienko, Fabian Patterson, Georg Fuchs, Yannis Theodoridis, George A. Vouros
ACM International Conference Proceeding Series, 2019 - stLD: Towards a spatio-temporal link discovery framework
Georgios M. Santipantakis, Apostolos Glenis, Christos Doulkeridis, Akrivi Vlachou, George A. Vouros
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2019 - Integration of mobility data with weather information
Ceur Workshop Proceedings, 2019 - Efficient spatio-temporal RDF query processing in large dynamic knowledge bases
Akrivi Vlachou, Christos Doulkeridis, Apostolos Glenis, Georgios M. Santipantakis, George A. Vouros
Proceedings of the ACM Symposium on Applied Computing, 2019 - A stream reasoning system for maritime monitoring
Georgios M. Santipantakis, Akrivi Vlachou, Christos Doulkeridis, Alexander Artikis, Ioannis Kontopoulos, et al.
Leibniz International Proceedings in Informatics Lipics, 2018 - Rdf-gen: Generating rdf from streaming and archival data
Georgios M. Santipantakis, Konstantinos I. Kotis, George A. Vouros, Christos Doulkeridis
ACM International Conference Proceeding Series, 2018 - Faimuss: Flexible data transformation to RDF from multiple streaming sources
Santipantakis, Giorgos, Apostolos Glenis, Nikolaos Kalaitzian, Akrivi Vlachou, Christos Doulkeridis, et al.
Advances in Database Technology Edbt, 2018 - Increasing maritime situation awareness via trajectory detection, enrichment and recognition of events
G. A. Vouros, A. Vlachou, G. Santipantakis, C. Doulkeridis, N. Pelekis, H. Georgiou, Y. Theodoridis, K. Patroumpas, E. Alevizos, A. Artikis, G. Fuchs, M. Mock, G. Andrienko, N. Andrienko, C. Claramunt, C. Ray, E. Camossi, A.-L. Jousselme
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2018 - Big data analytics for time critical maritime and aerial mobility forecasting
George A. Vouros, Christos Doulkeridis, Georgios M. Santipantakis, Akrivi Vlachou, Nikos Pelekis, et al.
Advances in Database Technology Edbt, 2018 - OBDAIR: Ontology-Based Distributed framework for Accessing, Integrating and Reasoning with data in disparate data sources
Georgios Santipantakis, Konstantinos Kotis, George A. Vouros
Expert Systems with Applications, 2017 - Specification of semantic trajectories supporting data transformations for analytics: The datacron ontology
Georgios M. Santipantakis, George A. Vouros, Christos Doulkeridis, Akrivi Vlachou, Gennady Andrienko, Natalia Andrienko, Georg Fuchs, Jose Manuel Cordero Garcia, Miguel Garcia Martinez
ACM International Conference Proceeding Series, 2017 - The datAcron Ontology for Semantic Trajectories
Georgios M. Santipantakis, George A. Vouros, Apostolos Glenis, Christos Doulkeridis, Akrivi Vlachou
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2017 - Ontology-based data sources' integration for maritime event recognition
Georgios Santipantakis, Konstantinos I. Kotis, George A. Vouros
Iisa 2015 6th International Conference on Information Intelligence Systems and Applications, 2016 - Distributed reasoning with coupled ontologies: the E-SHIQ representation framework
Georgios Santipantakis, George A. Vouros
Knowledge and Information Systems, 2015 - Decomposing Ontologies for the Construction of Distributed Knowledge Bases: The mONTul Method
Georgios Santipantakis, George A. Vouros
International Journal on Artificial Intelligence Tools, 2015 - Accessing and reasoning with data from disparate data sources using modular ontologies and OBDA
Georgios Santipantakis, Konstantinos I. Kotis, George A. Vouros
ACM International Conference Proceeding Series, 2015 - Ontology-Based data integration for event recognition in the Maritime Domain
Georgios Santipantakis, Konstantinos I. Kotis, George A. Vouros
ACM International Conference Proceeding Series, 2015 - Modularizing ontologies for the construction of E - SHIQ distributed knowledge bases
Georgios Santipantakis, George A. Vouros
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2014 - Constructing E-SHIQ distributed knowledge bases via ontology modularization: The mONTul method
Ceur Workshop Proceedings, 2014 - Distributed reasoning with EDDLHQ+ SHIQ
Ceur Workshop Proceedings, 2012 - The E-SHIQ contextual logic framework
Ceur Workshop Proceedings, 2012 - Modularizing OWL ontologies using EDDLHQ+ SHIQ
George M. Santipantakis, George A. Vouros
Proceedings International Conference on Tools with Artificial Intelligence Ictai, 2012 - Distributed instance retrieval in E HQ+ DDL SHIQ representation framework
George M. Santipantakis, George A. Vouros
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2012 - Semantics based reconciliaton for collaborative ontology evolution
Keod 2009 1st International Conference on Knowledge Engineering and Ontology Development Proceedings, 2009 - Flexible Electric Load (FEL) management service
39th International Universities Power Engineering Conference Upec 2004 Conference Proceedings, 2004
RECENT SCHOLAR PUBLICATIONS
- Online spatial reasoning for complex event recognition
E Alevizos, GM Santipantakis, C Doulkeridis, A Artikis
GeoInformatica 30 (1), 9 , 2026
2026 - Semantic Data Transformation, FAIRification and Provenance for Data Spaces
GM Santipantakis, C Doulkeridis, P Brimos
Data in Brief, 112675 , 2026
2026 - Modular and Multimodal Generative Adversarial Imitation Learning for Modeling Flight Trajectories
C Spatharis, K Blekas, G Santipantakis, G Vouros
Journal of Air Transportation 33 (3), 188-204 , 2025
2025 - Machine-learning methods estimating flights’ hidden parameters for the prediction of KPIs
G Vouros, I Ioannidis, G Santipantakis, T Tranos, K Blekas, M Melgosa, ...
Aerospace 11 (11), 937 , 2024
2024
Citations: 1 - Online Integration of Spatial Reasoning in Complex Event Recognition.
E Alevizos, GM Santipantakis, C Doulkeridis, A Artikis
EDBT/ICDT Workshops , 2024
2024
Citations: 1 - MobiSpaces: An architecture for energy-efficient data spaces for mobility data
C Doulkeridis, GM Santipantakis, N Koutroumanis, G Makridis, V Koukos, ...
2023 IEEE International Conference on Big Data (BigData), 1487-1494 , 2023
2023
Citations: 21 - An RDF Benchmark for Enriched Maritime Data
GM Santipantakis, C Doulkeridis
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for … , 2023
2023 - Explaining deep reinforcement learning decisions in complex multiagent settings: towards enabling automation in air traffic flow management
T Kravaris, K Lentzos, G Santipantakis, GA Vouros, G Andrienko, ...
Applied Intelligence 53 (4), 4063-4098 , 2023
2023
Citations: 42 - Data-driven estimation of flights’ hidden parameters
GA Vouros, T Tranos, K Blekas, G Santipantakis, M Melgosa, X Prats
12th SESAR Innovation Days: Inspiring long-term research in the field of air … , 2022
2022
Citations: 2 - RDF-Gen: generating RDF triples from big data sources
GM Santipantakis, KI Kotis, A Glenis, GA Vouros, C Doulkeridis, ...
Knowledge and information systems 64 (11), 2985-3015 , 2022
2022
Citations: 15 - Transparency & explainability in higher levels of automation in the atm domain
N Valle, MF Lema, JM Cordero, E Iglesias, R Rodrıguez, G Andrienko, ...
SESAR Innovation Days 2022 , 2022
2022
Citations: 2 - Scalable enrichment of mobility data with weather information
N Koutroumanis, GM Santipantakis, A Glenis, C Doulkeridis, GA Vouros
GeoInformatica 25 (2), 291-309 , 2021
2021
Citations: 11 - Link discovery for maritime monitoring
GM Santipantakis, C Doulkeridis, GA Vouros
Guide to Maritime Informatics, 203-231 , 2021
2021
Citations: 5 - Coronis: Towards Integrated and Open COVID-19 Data.
GM Santipantakis, GA Vouros, C Doulkeridis
EDBT, 686-689 , 2021
2021
Citations: 2 - SPARTAN: Semantic integration of big spatio-temporal data from streaming and archival sources
GM Santipantakis, A Glenis, K Patroumpas, A Vlachou, C Doulkeridis, ...
Future Generation Computer Systems 110, 540-555 , 2020
2020
Citations: 40 - Towards Integrated and Open COVID-19 Data
GM Santipantakis, GA Vouros, C Doulkeridis
arXiv preprint arXiv:2008.04045 , 2020
2020
Citations: 2 - Modeling mobility data and constructing large knowledge graphs to support analytics: the datacron ontology
GM Santipantakis, GA Vouros, A Vlachou, C Doulkeridis
Big Data Analytics for Time-Critical Mobility Forecasting: From Raw Data to … , 2020
2020
Citations: 1 - Integrating data by discovering topological and proximity relations among spatiotemporal entities
GM Santipantakis, C Doulkeridis, A Vlachou, GA Vouros
Big Data Analytics for Time-critical Mobility Forecasting: From Raw Data to … , 2020
2020
Citations: 4 - Among Spatiotemporal Entities
GM Santipantakis, C Doulkeridis, A Vlachou, GA Vouros
Big Data Analytics for Time-Critical Mobility Forecasting: From Raw Data to … , 2020
2020 - A semantic mixed reality framework for shared cultural experiences ecosystems
C Vassilakis, K Kotis, D Spiliotopoulos, D Margaris, V Kasapakis, ...
Big Data and Cognitive Computing 4 (2), 6 , 2020
2020
Citations: 12
MOST CITED SCHOLAR PUBLICATIONS
- A stream reasoning system for maritime monitoring
GM Santipantakis, A Vlachou, C Doulkeridis, A Artikis, I Kontopoulos, ...
25th International Symposium on Temporal Representation and Reasoning (TIME … , 2018
2018
Citations: 43 - Explaining deep reinforcement learning decisions in complex multiagent settings: towards enabling automation in air traffic flow management
T Kravaris, K Lentzos, G Santipantakis, GA Vouros, G Andrienko, ...
Applied Intelligence 53 (4), 4063-4098 , 2023
2023
Citations: 42 - SPARTAN: Semantic integration of big spatio-temporal data from streaming and archival sources
GM Santipantakis, A Glenis, K Patroumpas, A Vlachou, C Doulkeridis, ...
Future Generation Computer Systems 110, 540-555 , 2020
2020
Citations: 40 - Rdf-gen: Generating RDF from streaming and archival data
GM Santipantakis, KI Kotis, GA Vouros, C Doulkeridis
Proceedings of the 8th international conference on web intelligence, mining … , 2018
2018
Citations: 39 - Big Data Analytics for Time Critical Mobility Forecasting: Recent Progress and Research Challenges.
GA Vouros, A Vlachou, GM Santipantakis, C Doulkeridis, N Pelekis, ...
EDBT, 612-623 , 2018
2018
Citations: 39 - Specification of semantic trajectories supporting data transformations for analytics: The datAcron ontology
GM Santipantakis, GA Vouros, C Doulkeridis, A Vlachou, G Andrienko, ...
Proceedings of the 13th International Conference on Semantic Systems, 17-24 , 2017
2017
Citations: 32 - Efficient spatio-temporal RDF query processing in large dynamic knowledge bases
A Vlachou, C Doulkeridis, A Glenis, GM Santipantakis, GA Vouros
Proceedings of the 34th ACM/SIGAPP symposium on applied computing, 439-447 , 2019
2019
Citations: 23 - The datAcron ontology for semantic trajectories
GM Santipantakis, GA Vouros, A Glenis, C Doulkeridis, A Vlachou
European Semantic Web Conference, 26-30 , 2017
2017
Citations: 23 - MobiSpaces: An architecture for energy-efficient data spaces for mobility data
C Doulkeridis, GM Santipantakis, N Koutroumanis, G Makridis, V Koukos, ...
2023 IEEE International Conference on Big Data (BigData), 1487-1494 , 2023
2023
Citations: 21 - ARGO: A big data framework for online trajectory prediction
P Petrou, P Nikitopoulos, P Tampakis, A Glenis, N Koutroumanis, ...
Proceedings of the 16th international symposium on spatial and temporal … , 2019
2019
Citations: 21 - OBDAIR: Ontology-Based Distributed framework for Accessing, Integrating and Reasoning with data in disparate data sources
G Santipantakis, K Kotis, GA Vouros
Expert Systems with Applications 90, 464-483 , 2017
2017
Citations: 19 - Ontology-based data integration for event recognition in the maritime domain
G Santipantakis, KI Kotis, GA Vouros
Proceedings of the 5th International Conference on Web Intelligence, Mining … , 2015
2015
Citations: 17 - RDF-Gen: generating RDF triples from big data sources
GM Santipantakis, KI Kotis, A Glenis, GA Vouros, C Doulkeridis, ...
Knowledge and information systems 64 (11), 2985-3015 , 2022
2022
Citations: 15 - The datAcron ontology for the specification of semantic trajectories: specification of semantic trajectories for data transformations supporting visual analytics
GA Vouros, GM Santipantakis, C Doulkeridis, A Vlachou, G Andrienko, ...
Journal on Data Semantics 8 (4), 235-262 , 2019
2019
Citations: 15 - stLD: towards a spatio-temporal link discovery framework
GM Santipantakis, A Glenis, C Doulkeridis, A Vlachou, GA Vouros
Proceedings of the International Workshop on Semantic Big Data, 1-6 , 2019
2019
Citations: 14 - A semantic mixed reality framework for shared cultural experiences ecosystems
C Vassilakis, K Kotis, D Spiliotopoulos, D Margaris, V Kasapakis, ...
Big Data and Cognitive Computing 4 (2), 6 , 2020
2020
Citations: 12 - Scalable enrichment of mobility data with weather information
N Koutroumanis, GM Santipantakis, A Glenis, C Doulkeridis, GA Vouros
GeoInformatica 25 (2), 291-309 , 2021
2021
Citations: 11 - Distributed reasoning with coupled ontologies: the representation framework
G Santipantakis, GA Vouros
Knowledge and Information Systems 45 (2), 491-534 , 2015
2015
Citations: 11 - Taming big maritime data to support analytics
GA Vouros, C Doulkeridis, G Santipantakis, A Vlachou
Information Fusion and Intelligent Geographic Information Systems (IF&IGIS … , 2017
2017
Citations: 10 - Masklink: Efficient link discovery for spatial relations via masking areas
G Santipantakis, C Doulkeridis, GA Vouros, A Vlachou
arXiv preprint arXiv:1803.01135 , 2018
2018
Citations: 9
