# Semantic web
# Similarity search, Big data analytics
# Database systems, multimedia retrieval
„Our primary objective is an investigation of techniques for data retrieval, visualization, modeling and processing in domains related to multimedia, open data, big data, bioinformatics.“
- Development of database technology for accessing and integrating complex unstructured and incomplete data
- Efficient processing of graph data (XML, RDF, linked data, network traffic)
- Semantic web services
- Similarity search in multimedia databases
- Structural bioinformatic similarity retrieval
- Similarity modeling
- Recommender systems
- Video retrieval
- Database indexing
- Application of Linked-data principle
- XML and Web technologies and their exploitation
- Schema evolution
- Change management and adaptability of applications
- Database methods for large-scale similarity search
- Development of image descriptors
- Content-based multimedia retrieval
- Development of algorithms and computational tools for biological data analysis
- Methods for data integration and extraction
- Recommender systems
- Database technology for content-based management and retrieval of unstructured data (text, multimedia, biological) and structured data (XML, RDF, relational) and their integration
- University of Konstanz
- Universidad de Chile, Chile
- RWTH Aachen University, Germany
- University of Leipzig
- University of Milano Biccocca
- Cisco Systems
- Profinit EU
- Collaboration with non-profit initiative OpenData.cz, which promotes the principles of Linked Data among governmental organizations
- TAČR TH03010276, The system for advanced analytics of large connected data based on simmilarity modeling, 2018–2020
- GAČR 17-22224S, User Preference Analytics in Multimedia Exploration Models, 2017–2019
- GAČR 15-08916S, Efficient subgraph discovery for petabyte-scale web analysis, 2015–2017
- GAČR 15-00885S, Novel methods for computational prediction and visualization of secondary structures of ribosomal ribonucleic acids – an integrated solution, 2015–2017
- NoSQL-Net – Managing Linked Data in NoSQL Stores under Schema Evolution
- Highly Scalable Parallel and Distributed Methods of Data Processing in e-Scienc
- Inteligent library – INTLIB
- ETRAIN – Platform for train control and information systems based on Ethernet Communication Non-Metric Similarity Searching in Very Large Complex Databases
- Handling XML Data in Heterogeneous and Dynamic Environments
Please contact CPPT UK
Web: www.cppt.cuni.cz/
Mail: transfer@cuni.cz
Tel.: +420 224 491 255
doc. RNDr. Tomáš Skopal, Ph.D.
Department of Software Engineering
Web: http://www.ksi.mff.cuni.cz/en
# Sémantický web
# Analýza velkých dat, podobnostní vyhledávání
# Databázové systémy, multimediální vyhledávání
Centrum pro přenos poznatků a technologií, Univerzita Karlova
Web: www.cppt.cuni.cz/
Mail:
Tel.: +420 224 491 255
Adresa kanceláře:
Petrská 1180/3
110 00 Praha 1
Korespondenční adresa:
Ovocný trh 560/5
116 36 Praha 1