Rich and diverse information sources of static or stream structured data do exist. However these are heterogeneous in various aspects: On the ways information is formed, on the ways information is described and shaped, on the ways different aspects of (abstract or concrete) entities are conceptualized and represented.
Computing accurate semantic descriptions of heterogeneous and disparate data sources, and managing their heterogeneity via scalable semantic alignment solutions is challenge. We need algorithms that – among others- are able to cope with big data sources, take advantage of background knowledge and consult humans to compute semantic agreements.
In addition to that, considering the existence of many diverse information sources in an open environment; each source having its own way of structuring, describing data and representing the world, we can easily see the necessity of distributed algorithms for these sources to reach semantic agreements towards shaping information jointly.
Specific Topics
- Ontology alignment methods
- Ontology-based data integration from heterogeneous and disparate data sources
Recent Publications
2021 |
Vouros, George A; Andrienko, Gennady; Artikis, Alexander; Cordero, Jose Manuel; Doulkeridis, Christos; Jousselme, Anne-Laure; Pelekis, Nikolaos; Ray, Cyril; Scarlatti, David Big Data Analytics for Time Critical Mobility Forecasting: From raw data to trajectory-oriented mobility analytics in the aviation and maritime domains Book Forthcoming Springer, Forthcoming. @book{360, title = {Big Data Analytics for Time Critical Mobility Forecasting: From raw data to trajectory-oriented mobility analytics in the aviation and maritime domains}, author = {George A Vouros and Gennady Andrienko and Alexander Artikis and Jose Manuel Cordero and Christos Doulkeridis and Anne-Laure Jousselme and Nikolaos Pelekis and Cyril Ray and David Scarlatti}, year = {2021}, date = {2021-00-00}, publisher = {Springer}, organization = {Springer}, keywords = {}, pubstate = {forthcoming}, tppubtype = {book} } |
Santipantakis, Georgios M; Doulkeridis, Christos; Vouros, George A; Glenis, Apostolos; Patroumpas, Kostas; Vlachou, Akrivi; Theodoridis, Yannis; Pelekis, Nikos SPARTAN: Semantic Integration of Big Spatio-temporal Data from Streaming and Archival Sources Journal Article Forthcoming Future Generation Computer Systems, to appear , Forthcoming. @article{342, title = {SPARTAN: Semantic Integration of Big Spatio-temporal Data from Streaming and Archival Sources}, author = {Georgios M Santipantakis and Christos Doulkeridis and George A Vouros and Apostolos Glenis and Kostas Patroumpas and Akrivi Vlachou and Yannis Theodoridis and Nikos Pelekis}, url = {https://doi.org/10.1016/j.future.2018.07.007}, year = {2021}, date = {2021-00-00}, journal = {Future Generation Computer Systems}, volume = {to appear}, keywords = {}, pubstate = {forthcoming}, tppubtype = {article} } |
2020 |
Karampelas, Andreas; Vouros, George A Time and Space Efficient Large Scale Link Discovery using String Similarities Journal Article Fundamenta Informaticae, 172 , pp. 299-325, 2020, ISSN: 0169-2968 (P). @article{351, title = {Time and Space Efficient Large Scale Link Discovery using String Similarities}, author = {Andreas Karampelas and George A Vouros}, url = {https://content.iospress.com/articles/fundamenta-informaticae/fi1906?resultNumber=0&totalResults=158&start=0&q=Time+and+Space+Efficient&resultsPageSize=10&rows=10}, doi = {10.3233/FI-2020-1906}, issn = {0169-2968 (P)}, year = {2020}, date = {2020-02-01}, journal = {Fundamenta Informaticae}, volume = {172}, pages = {299-325}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
Kotis, Konstantinos; Vouros, George A; Spiliotopoulos, Dimitris Ontology engineering methodologies for the evolution of living and reused ontologies: status, trends, findings and recommendations Journal Article The Knowledge Engineering Review, 35 , 2020. @article{358, title = {Ontology engineering methodologies for the evolution of living and reused ontologies: status, trends, findings and recommendations}, author = {Konstantinos Kotis and George A Vouros and Dimitris Spiliotopoulos}, url = {https://doi.org/10.1017/S0269888920000065}, doi = {https://doi.org/10.1017/S0269888920000065}, year = {2020}, date = {2020-01-01}, journal = {The Knowledge Engineering Review}, volume = {35}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
2019 |
Petrou, P; et al., ARGO: A Big Data Framework for Online Trajectory Prediction Conference SSTD 2019, 2019. @conference{345, title = {ARGO: A Big Data Framework for Online Trajectory Prediction}, author = {P Petrou and et al.}, year = {2019}, date = {2019-01-01}, booktitle = {SSTD 2019}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |