Publication entry:

Advanced Analytics of Large Connected Data Based on Similarity Modeling

Full citation: Skopal, T., Peška, L., Holubová, I., Paščenko, P., & Hučín, J. (2018). Advanced analytics of large connected data based on similarity modeling. International Conference on Similarity Search and Applications, 209–216.
BibTeX citation file download: skopal2018advanced.bib

Internal authors

Tomáš Skopal

Deputy head of department, Professor

Ladislav Peška

Associate professor

Irena Holubová

Associate professor

Research topics

Data on the web

Working with data on the Web is difficult due to numerous issues which an interested data consumer can come across, the main ones being data interoperability issues on various levels of abstraction. To support the ecosystem of data exchange on the Web, we are working on a set of techniques and tools for proper publishing and consumption of data on the Web, which include data cataloging, transformation, querying and visualization tools. We put data-centricity, data semantics and data distribution into the core of our work.