project sheldon: visualize open patent data
TRANSCRIPT
see how
visualizing open patent data
helps with
strategic decisions#IPSW2016, München, November 2016
[email protected] • +49 172 5119844founder/ceo of moving targets consulting gmbh • arndtstrasse 34 • 10965 berlin • germany
project sheldon
agenda
data sciencestrategic decisions
data sources visualization tools
regional technology trends?
region: federal states of germany
technology: ipc/cpc
examples
regional technology trends
fixed, static, recurring, elaborate
is this the new “data science”?
no, and this is not
business intelligence either!
more examples
patent information analytics?
from commercial provider
patent information analytics
based on result sets,
some dynamic,
mostly predefined
is this the new “data science”?
mmmh! ok, this is a
business and somehow intelligent too!
and more examples
information analytics tools?
from commercial provider
or non-profit/public authorities
information analytics tools?
combine different data sets,
exploration through visualization,
semantic or even ai anaytics as added value
is this the new “data science”?
yah, we are comming closer...
business intelligence tools?
general purpose tools,
only sample data and viz,
connections to sql, api, etc.
gartners magic quadrant
tool selection criteria
diy
freemium
general purpose
www.tableau.com
www.tableau.com/products/desktop
www.knime.org
www.knime.org/knime-analytics-platform
agenda
data sciencestrategic decisions
data sources visualization tools
no news?
digital transformation
service for individuals
computing costs less and less
and the it / ip expert
becomes a data experts
(inspired by Rob Thomas)
innovation?
is a s.m.a.r.t. change of what is today
born out of constructive criticisms
(Henry Mintzberg)
strategy?
is a pattern in a stream of decisions
(Henry Mintzberg)
important decisions?
perception + recognition = insight
(Inspired by Götz Werner)
evidential experience?
visualized linked data
can create insights and
better strategic decisons
(Inspired by Götz Werner)
agenda
data sciencestrategic decisions
data sources visualization tools
data sources
open
laptop
no dev
data sources
epo.org / patstat
epo.org / open patent services
raw data from epo, dpma, us, etc…
normalized data from e.g. ificlaims, …
or depatech.mtc.berlin
patstat
epo.org/.../patstat
almost free
~ 150 GB SQL
ops
open data product of epo.org
free for all, fair use policy
RESTApi
~100m publications from 95 authorities
depatech api
deparom & deparom kompakt data
elastic search index, query translator,
content delivery store for de, ep, us, wo, jp
RESTApi and bulk delivery
~4m publications from 2012-16
agenda
data sciencestrategic decisions
data sources visualization tools
visualization
connect data sources
join them meaningfully
explore & analyze
live demo
summary
open patent data
todays commercial provider are making
money by restricting the access to the
data, the source code, the api’s and
software.
this will change!
open patent data
is not about free services, but free data!
you can always charge for the service you
deliver, if this creates value for others.
tools are no shortcuts!
open patent data
if there would be real open patent data,
the tools to use them,
are already in the hands of your users!
maybe the end
big thanks to:
piznet.de
mustafa çakır
poldham.github.io
and my team at mtc, especially