In large-scale, distributed sensor networks, how can information be gained from large amounts of continually streaming data in a repeatable, scalable and reliable fashion?
In order to answer this question, a new user- and question-centric technology is being developed under the project name TARGET.
The user asks the question, and the system (re)constructs the information by means of “pulling” the necessary data from the sea of data and its reliable processing.
This is contrary to classical technology, which aims at “pushing” the sea of data towards the user.
For all (major) information users this is a paradigm shift:
from ad-hoc information extraction from data to intelligent information systems that work efficiently, reliably and reproducibly on large amounts of data, based on reliable workflows through a scalable and distributed storage and computing infrastructure.
New technologies to realize and prepare this paradigm shift for industrial applications now need to be developed further.
