Data and Web Science Lab is an active research group engaged in research and innovation on ICT complex data science and engineering technologies, offering end-to-end multi way and multi scope analytics.

Data and Web Science Lab can offer end-to-end solutions from raw data to insightful results and from low-level data management to advanced algorithms and applications. It fosters strong international collaborations with multi-disciplinary synergies (engineering, psychology, social sciences, arts, cultural studies, etc) providing data protection and EU GDPR consultancy and technical support. Our group consists of vibrant researchers and developers that encourage entrepreneurship and innovation, providing project management and coordination of research projects and novel ideas for extensive and advanced software and web development. We also support research and technology transfer to industry through multiple bilateral industry collaborations.

Evolving big data analytics

Social media analytics (usage and content summarization)

Smart cities (IoT) and social networks data intergration

Cloud-based evolving data streams management

Creativity and cultural innovation

Data and Web Science Lab is an active research group engaged in research and innovation on ICT complex data science and engineering technologies, offering end-to-end multi way and multi scope analytics.

Recent News

Recent Publications

Roumelis G., Fevgas A., Vassilakopoulos M., Corral A., Bozanis P., Manolopoulos Y: Bulk-loading and bulk-insertion algorithms for xBR-trees in Solid State Drives. In: Computing, 2019, ISSN: 1436-5057.
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Gravanis G., Vakali A. , Diamantaras K., Karadais P.: Behind the cues: A benchmarking study for fake news detection. In: Expert Systems with Applications, 128 , pp. 201 - 213, 2019.
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Lefteris A., Bassiliades N., Manolopoulos Y.: On the necessity of multiple university rankings. In: COLLNET Journal of Scientometrics and Information Management, 2019, ISSN: 0973-7766.
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Manolopoulos Y., Katsaros D.: Measuring science in our highly digitized world. In: Proceedings of the 22nd Pan-Hellenic Conference on Informatics, pp. 1-3, ACM 2018.
PDF
Antaris S., Rafailidis D.: In-memory Stream Indexing of Massive and Fast Incoming Multimedia Content. In: IEEE Transactions on Big Data, 4 (1), pp. 40-54, 2018.
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Christoforidis G., Kefalas P., Papadopoulos A.N., Manolopoulos Y.: Recommendation of Points-of-Interest using Graph Embeddings. In: 5th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2018), Turin, Italy, 2018
Founta A.M., Djouvas C., Chatzakou D., Leontiadis I., Blackburn J., Stringhini G., Vakali A., Sirivianos M., Kourtellis N.: Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior. In: Proceedings 12th International Conference on Web & Social Media (ICWSM), pp. 491-500, Stanford, CA, 2018.
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Garcia-Garcia F., Corral A., Iribarne L., Vassilakopoulos M., Manolopoulos Y.: Efficient Large-scale Distance-Based Join Queries in SpatialHadoop. In: Geoinformatica, 22 (2), pp. 171-209, 2018.
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Gogoglou A., Tsikrika T., Manolopoulos Y.: Network Analysis of the Science of Science: A Case Study in SOFSEM Conference. In: Proceedings of the 44th International Conference on Current Trends in Theory & Practice of Computer Science (SOFSEM?2018), pp. 94-108, Krems, Austria, 2018.
PDF
Gounaris A., Torres J.: A Methodology for Spark Parameter Tuning. In: Big Data Research, 11 , pp. 22-32, 2018.
PDF

Recent News

Recent Publications

Roumelis G., Fevgas A., Vassilakopoulos M., Corral A., Bozanis P., Manolopoulos Y: Bulk-loading and bulk-insertion algorithms for xBR-trees in Solid State Drives. In: Computing, 2019, ISSN: 1436-5057.
PDF
Gravanis G., Vakali A. , Diamantaras K., Karadais P.: Behind the cues: A benchmarking study for fake news detection. In: Expert Systems with Applications, 128 , pp. 201 - 213, 2019.
PDF
Lefteris A., Bassiliades N., Manolopoulos Y.: On the necessity of multiple university rankings. In: COLLNET Journal of Scientometrics and Information Management, 2019, ISSN: 0973-7766.
PDF
Manolopoulos Y., Katsaros D.: Measuring science in our highly digitized world. In: Proceedings of the 22nd Pan-Hellenic Conference on Informatics, pp. 1-3, ACM 2018.
PDF
Antaris S., Rafailidis D.: In-memory Stream Indexing of Massive and Fast Incoming Multimedia Content. In: IEEE Transactions on Big Data, 4 (1), pp. 40-54, 2018.
PDF
Christoforidis G., Kefalas P., Papadopoulos A.N., Manolopoulos Y.: Recommendation of Points-of-Interest using Graph Embeddings. In: 5th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2018), Turin, Italy, 2018
Founta A.M., Djouvas C., Chatzakou D., Leontiadis I., Blackburn J., Stringhini G., Vakali A., Sirivianos M., Kourtellis N.: Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior. In: Proceedings 12th International Conference on Web & Social Media (ICWSM), pp. 491-500, Stanford, CA, 2018.
PDF
Garcia-Garcia F., Corral A., Iribarne L., Vassilakopoulos M., Manolopoulos Y.: Efficient Large-scale Distance-Based Join Queries in SpatialHadoop. In: Geoinformatica, 22 (2), pp. 171-209, 2018.
PDF
Gogoglou A., Tsikrika T., Manolopoulos Y.: Network Analysis of the Science of Science: A Case Study in SOFSEM Conference. In: Proceedings of the 44th International Conference on Current Trends in Theory & Practice of Computer Science (SOFSEM?2018), pp. 94-108, Krems, Austria, 2018.
PDF
Gounaris A., Torres J.: A Methodology for Spark Parameter Tuning. In: Big Data Research, 11 , pp. 22-32, 2018.
PDF