Failing fast with Explore&Query

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If you are going to fail because your assumptions were wrong, do it before you waste your time and resources. This applies also to promise of Linked Open Data as a data source for analytics. Just that certain data is published does not mean it is useful for certain type of tasks. This case study here shows how do you quickly validate a semantic data source from quantitative and completeness perspective. First slideshare on Explore&Quey : http://www.slideshare.net/JrgenKerstna/can-spsrqlexplore-query-with-vinge-tutorial

Technologie Unterhaltung & Humor

Failing Fast
with Explore&Query
© 2013 Vinge Free AB, Sweden

Failing fast is a good thing
If you are going to fail because your assumptions were wrong, do it
before you waste your time and resources.
This applies also to promise of Linked Open Data as a data source for
analytics. Just that certain data is published does not mean it is
useful for certain type of tasks.
This case study here shows how do you quickly validate a semantic
data source from quantitative and completeness perspective.
The tool used is Free Edition of Explore&Query from Vinge Free.
© 2013 Vinge Free AB, Sweden

Film industry analysis
The case study goes as following: DBpedia contains information
about films, their directors, their producers, their release dates,
starring actors, composers, budget etc. - seemingly everything
needed to produce a comprehensive statistical analysis about film
industry.
Let’s get started by taking a look in the data and try to do a simple
initial quantification how much facts do we actually have in our
disposal and do we believe it provides sufficiently accurate statistical
base for not getting a skewed results.
© 2013 Vinge Free AB, Sweden

The main concept in film industry is film. Lets find out how many
films there is in DBpedia: there are 78,000 films
Films
© 2013 Vinge Free AB, Sweden

But over 13,000 films are creations of no one?
Every films should have a director?
© 2013 Vinge Free AB, Sweden

But even though films usually have several stars we seem to keep
seeing our list shrinking
Every film have starring actors
© 2013 Vinge Free AB, Sweden

reveals that cost of the film and its turnover is only sparsely available
Budget of films v. sales
© 2013 Vinge Free AB, Sweden

Is the money spent on quality or quantity? Leaking here as well
Length of the films v. cost
© 2013 Vinge Free AB, Sweden

Adding release date, studio, distributor, composer
Only 400 films left from 77,000
More fields of interest
© 2013 Vinge Free AB, Sweden

There 1769 films without “length” property but with all other
We can find exactly how much we lack
© 2013 Vinge Free AB, Sweden

If we make everything optional - are we back in business?
Not all fields are equally important
© 2013 Vinge Free AB, Sweden

The answer is left to the viewer.
But it went fast to find out
Have we failed or not?
© 2013 Vinge Free AB, Sweden

© 2013 Vinge Free
AB, Sweden
download from
http://www.vingefree.com/querybyexplore

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Failing fast with Explore&Query

2. Failing fast is a good thing If you are going to fail because your assumptions were wrong, do it before you waste your time and resources. This applies also to promise of Linked Open Data as a data source for analytics. Just that certain data is published does not mean it is useful for certain type of tasks. This case study here shows how do you quickly validate a semantic data source from quantitative and completeness perspective. The tool used is Free Edition of Explore&Query from Vinge Free. © 2013 Vinge Free AB, Sweden

3. Film industry analysis The case study goes as following: DBpedia contains information about films, their directors, their producers, their release dates, starring actors, composers, budget etc. - seemingly everything needed to produce a comprehensive statistical analysis about film industry. Let’s get started by taking a look in the data and try to do a simple initial quantification how much facts do we actually have in our disposal and do we believe it provides sufficiently accurate statistical base for not getting a skewed results. © 2013 Vinge Free AB, Sweden