SANSA Frequently Asked Questions (FAQ)

The following questions are frequently asked with regard to the SANSA project in general. If you have further questions, make sure to have a look at the documentation or ask the community.


Semantic Analytics Stack

Here, we see analytics as the combination of querying, inference and machine learning tasks.

Any relationship between the SANSA Stack (or SANSA on Spark) and the character Sansa Stark in the above series is purely coincidental.

In SANSA, we combine distributed computing frameworks (specifically Spark and Flink) with the semantic technology stack. Here is an illustration:

sansa_combining_ml_sw_2_color_coded (1)

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:

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SANSA uses a technology stack consisting of several layers as shown below:

Copy of Copy of Arch_SANSA

Refer to the User Guide page:

Or visit the Github page:

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