Intelligent Open Data Exploration


Intelligent Open Data Exploration
The core principle of INODE is that users should interact with data in a more dialectic and intuitive way similar to a dialog with a human. To achieve this principle, INODE builds innovative services for data exploration that help users (a) link and leverage multiple datasets, (b) access and search data using natural language, using examples and using analytics (c) get guidance from the system in understanding the data and formulating the right queries, and (d) explore data and discover new insights through visualizations.
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Georgia Koutrika

Zürcher Hochschule für Angewandte Wissenschaften (ZHAW), Max-Planck-Gesellschaft zur Förderung der Wissenschaften EV (MPG), Fraunhofer Gesellschaft zur Förderung der Angewandten Forschung E.V. (Fraunhofer), SIRIS Academic SL (SIRIS), Centre National de la Recherche Scientifique (CNRS), Libera Universita di Bolzano (UNIBZ), SIB Institut Swiss de Bioinformatique (SIB), Infili Technologies Private Company (Infili Tech)