How Is
Smart Data
Cooked?
(An introduction
to GraphDB)
M a k i n g s e n s e o f t e x t a n d d a t a
1
Want to figure out
what GraphDB is
and how it can serve you?
2
Imagine
a pasta maker.
One that does all
the heavy lifting for you:
mixing the dough, kneading it,
shaping the pasta
you want.
3
One that allows you
to add whatever ingredients
you decide to:
not only flour and eggs,
but also herbs, vegetables, flavours and
shape the pasta any way you need it for
cooking your next chef d’oeuvre.
Now imagine that
same pasta maker but
in the context of cooking up
a data-driven solution
for your business.
GraphDB does the
same as the pasta maker above -
only not with dough, but with
data.
4
What’s more – GraphDB does not only
mix the dough so you can use it for
creating a solution, but it also
stores, retrieves and connects in
endless combinations all its
ingredients faster and
cost-effectively,
whenever you need them
in whatever shape
you want them in.
5
6
You can feed GraphDB with data
and content for automatic:
Discovery of patterns
7
Detection of Trends
8
Making of Connections
9
Creation of New Facts
10
By and large, GraphDB is your
Smart Data* maker
and here’s how it works.
*Smart data are highly-interconnected data elements that you can use for
smart: information governance, enterprise data management, text analytics
and many more.
You put the ingredients into the Smart Data maker:
any kind of data (or content, or both) from all kinds
of sources in any kind of format: business records,
content archives, master data, medical research,
both internal and external sources, etc.
11
12
Once kneaded into smart data pieces, enterprise information can become a
solution of any shape. From there on you can use your smart data-driven business
solutions such as Data Integration projects, Knowledge Base Building, Dynamic
Semantic Publishing.
13
If you are ready for more than
a pasta machine explanation,
head to our website:
ontotext.com/products/graphdb/
If you want to stick to the pasta machine analogy,
move on to the next slide.
14
With GraphDB you can make smart data-driven solutions out of data
and/or content. These solutions can come in different shapes and forms,
depending on the strategy you want to cook up with them.
www.ontotext.com
You can also reach us via email at
info@ontotext.com
and directly by calling
1-866-972-6686 (North America),
or +359 2 974 61 60 (Europe)
Start cooking up solutions with smart data today!
Contact an Ontotext expert and learn how to use
GraphDB for smart data-driven business.

How is smart data cooked?

  • 1.
    How Is Smart Data Cooked? (Anintroduction to GraphDB)
  • 2.
    M a ki n g s e n s e o f t e x t a n d d a t a 1 Want to figure out what GraphDB is and how it can serve you?
  • 3.
    2 Imagine a pasta maker. Onethat does all the heavy lifting for you: mixing the dough, kneading it, shaping the pasta you want.
  • 4.
    3 One that allowsyou to add whatever ingredients you decide to: not only flour and eggs, but also herbs, vegetables, flavours and shape the pasta any way you need it for cooking your next chef d’oeuvre.
  • 5.
    Now imagine that samepasta maker but in the context of cooking up a data-driven solution for your business. GraphDB does the same as the pasta maker above - only not with dough, but with data. 4
  • 6.
    What’s more –GraphDB does not only mix the dough so you can use it for creating a solution, but it also stores, retrieves and connects in endless combinations all its ingredients faster and cost-effectively, whenever you need them in whatever shape you want them in. 5
  • 7.
    6 You can feedGraphDB with data and content for automatic: Discovery of patterns
  • 8.
  • 9.
  • 10.
  • 11.
    10 By and large,GraphDB is your Smart Data* maker and here’s how it works. *Smart data are highly-interconnected data elements that you can use for smart: information governance, enterprise data management, text analytics and many more.
  • 12.
    You put theingredients into the Smart Data maker: any kind of data (or content, or both) from all kinds of sources in any kind of format: business records, content archives, master data, medical research, both internal and external sources, etc. 11
  • 13.
    12 Once kneaded intosmart data pieces, enterprise information can become a solution of any shape. From there on you can use your smart data-driven business solutions such as Data Integration projects, Knowledge Base Building, Dynamic Semantic Publishing.
  • 14.
    13 If you areready for more than a pasta machine explanation, head to our website: ontotext.com/products/graphdb/ If you want to stick to the pasta machine analogy, move on to the next slide.
  • 15.
    14 With GraphDB youcan make smart data-driven solutions out of data and/or content. These solutions can come in different shapes and forms, depending on the strategy you want to cook up with them.
  • 16.
    www.ontotext.com You can alsoreach us via email at info@ontotext.com and directly by calling 1-866-972-6686 (North America), or +359 2 974 61 60 (Europe) Start cooking up solutions with smart data today! Contact an Ontotext expert and learn how to use GraphDB for smart data-driven business.