The document discusses the challenges of managing large volumes of diverse data and emphasizes the need for systems like RDF graph databases to convert data into understanding and actionable insights. RDF graph databases are highlighted for their ability to manage both structured and unstructured data, aiding in intelligent data management and integration across information systems. It concludes by encouraging users to consider an RDF database to enhance their data's meaning and utility.

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.