With the tons of bits of data around enterprises and the challenge to turn these data into knowledge, meaning is arguably in the systems of the best database holder. Turning data pieces into actionable knowledge and data-driven decisions takes a good and reliable database. The RDF database is one such solution. It captures and analyzes large volumes of diverse data while at the same time is able to manage and retrieve each and every connection these data ever get to enter in. In our latest slides, you will find out why we believe RDF graph databases work wonders with serving information needs and handling the growing amounts of diverse data every organization faces today.

1. It Don’t Mean a Thing If It Ain‘t
Got Semantics
Why consider an RDF
Graph Database?

2. 1
Making sense of what is given* has always been hard.
*the literal Latin meaning of datum is something given

3. 2
Today it is even harder: we are given tons of bits of data and
we are to turn these data into knowledge.

4. But if we don't want to be dragged down by dead weight,
we have to turn these tons of bits of data into action.
3

5. For having data is one thing,
but understanding them is another.
4

6. True understanding comes with connecting and integrating data
pieces from all kinds of data sets.
5

7. 6
To turn data pieces into building
blocks of smart integrated
approaches to solving complex
business problems, we need
systems and platforms.

8. 7
Systems capable of discovering
relationships and detecting patterns
within all kinds of data. And platforms
that capture and analyze large
volumes of diverse data.

9. 8
One way to build these systems
and platforms is with a graph
database. The graph is one of the
very expressive and powerful
models with which we can
approach thе challenge of the
huge amounts of heterogeneous,
diverse data that surround us.

10. 9
One such graph database
is the RDF Graph Database.
This specific
type of a graph
database,
is used to
manage
unstructured
and structured
data and
is invaluable
when it comes
to finding
intelligent data
management
solutions.

11. 10
An RDF Graph database
has very little viable
alternatives when it comes
to capturing, managing
and storing data
that can be easily consumed by
other users, federated across
different information systems, or
linked by a third party system.

12. 11
But all of them, Ontotext’s GraphDB included, work wonders with serving
information needs and handling the growing amounts of diverse data.
Not all RDF Graph Databases are created equal - each has its strengths
and weaknesses.

13. 12
Integrated smartly and
connected meaningfully
with an RDF graph database,
enterprise data can meet the
complexity of the captured,
created and curated
information bits.

14. 13
Ready to give an RDF Database a chance to bring meaning to your data?

15. 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)
Download GRAPHDB Free
or call us for advice on
how you can do this.