I study the integration and exchange of data and knowledge on the web and beyond - that is, ways to bring together, understand and process vast amounts of heterogeneous and distributed data and information. How can we better describe what different web and data sources contain? and how do these sources relate to each other? How can we extract knowledge from the data? And how can we use this knowledge to reason and answer combined questions over many different and independent information sources?
I am interested developing algorithms and systems that help answer these questions, such as systems for integrating databases of merging companies, web repositories and data warehouses. Tools that help towards this goal are database theory and technologies, the semantic web and ontologies.
Benedikt, Michael and Konstantinidis, Georgios (2017) Benchmarking the Chase. In Proceedings of the 36th ACM SIGMOD-SIGACT-SIGAI symposium on principles of database systems: PODS '17'. ACM.. (doi:10.1145/3034786.3034796).
Konstantinidis, Georgios and Ambite, Jose Luis (2014) Optimizing the chase: Scalable data integration under constraints. At 4th International conference on Very Large Data bases (05/09/14) 4th International conference on Very Large Data bases, Hangzhou, China. 01 - 05 Sep 2014. 12 pp.
Nikolaou, Charalampos, Kostylev, Egor V., Konstantinidis, Georgios, Kaminski, Mark, Grau, Bernardo Cuenca and Horrocks, Ian (2017) The bag semantics of ontology−based data access. In Proceedings of Twenty−Sixth International Joint Conference on Artificial Intelligence. pp. 1224-1230. (doi:10.24963/ijcai.2017/170).