Abstract:
The World Wide Web is an information
resource with virtually unlimited potential.
However, this potential is relatively untapped
because locating relevant information can often
be time consuming and fruitless. If machines
could understand the content of the web pages,
searches with high precision and recall would be
possible. So, our approach system is to find the
meaning of word from Ontology database.
Nowadays, Ontology is becoming increasingly
widespread in research field and application
area of computer science. Ontology is used not
only in semantic web but also in database and
applications that need to share domain
information for specific area of knowledge.
Ontology comprises as the concept, properties
and restrictions on properties. So, we can build
Ontology for every object and thing in our
environment that has relationship and properties.
This system was developed by categories
grouping methods and then all of that groups are
relation with ontology properties. So, users can
see all of the words relation and study usage of
the words from this dictionary. This dictionary
prototype was developed with Protégé ontology
Editor 4.2 Alpha version that supports OWL 2.0
languages.
