Fraunhofer Institute for Computer Graphics Research IGDGrowth in data volumes and availability and data democratization have radically changed the nature of data research over the last 10 years. INODE aims at facilitating access to data by enabling more dialectical and intuitive interactions with data while taking a natural language processing (NLP) approach.
The goal of INODE is to offer a number of flexible, appropriate services for studying large numbers of open datasets. Users benefit from:
- using visualization technologies to reveal data modalities,
- receiving automatically generated recommendations on datasets from systems that also help them formulate the right NLP queries for efficiently finding them, and
- comprehensively exploring data and gaining new insights with the aid of integrated data analysis packages and data visualization.
