SANSA Frequently Asked Questions (FAQ)
Semantic Analytics Stack
Here, we see analytics as the combination of querying, inference and machine learning tasks.
In SANSA, we combine distributed computing frameworks (specifically Spark and Flink) with the semantic technology stack. Here is an illustration:
The SANSA vision combines distributed analytics (left) and semantic technologies (right) into a scalable semantic analytics stack (top). The colours encode what part of the two original stacks influence which part of the SANSA stack. The main objective of SANSA is to investigate whether the characteristics of each technology stack (bottom) can be combined to retain the respective advantages.
The combination of distributed computing and semantic technologies has the potential to exploit several critical advantages. We are clearly not there yet, but initial steps have already been made.
SANSA inherits the following advantages from the semantic technology stack:
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SANSA inherents the following advantages from machine learning research and distributed computing: