This is about ontology concept

1. Data Representation with
Ontology
Chamali Liyanage
DBA- Dialog Axiata
@LiyanageChamali | linkedin.com/in/chamali-liyanage-8bb8aa96

2. What is
Ontology? An ontology is a formal description of
knowledge as a set of concepts within a domain
and the relationships that hold between them.
To enable such a description, we need to
formally specify components such as individuals
(instances of objects), classes, attributes and
relations as well as restrictions, rules and
axioms. As a result, ontologies do not only
introduce a sharable and reusable knowledge
representation but can also add new knowledge
about the domain.

4. Ontology visualization tools
Protégé(https://protege.stanford.edu/)
Graphviz(http://www.graphviz.org/)
Point Cloud Library (PCL)(http://pointclouds.org/)
VOWL(http://vowl.visualdataweb.org/)
YED(https://www.yworks.com/products/yed)

5. Ontology Visualization with Protégé

6. How draw Ontology
Teachers teach modules
Students study modules.

7. Ontology building Blocks
Classes
Classes in ontologies are abstract groups, sets or collections of objects.

8. Ontology building Blocks
Object Properties
In object properties we are concerned with describing how classes can
relate to each other based on their instances.

9. Ontology building Blocks
Data Properties
Data properties are just like object properties except their domains are
typed literals.

10. Ontology building Blocks
Individuals
Individuals (instances) are the basic, “ground level” components of an
ontology.

11. Built Ontology

12. SPARQL
SPARQL Protocol
This is Query Language
for RDF

13. Search Engine for Ontology

14. Why ontology
More easily accessible to automated
information processing
Enhancing or modifying a data model
after the fact can be easily accomplished
by modifying the concept.
To analyze domain knowledge
To enable reuse of domain knowledge

15. Comparing Data Models

16. Thank You