READIT - 2009 - Indira Gandhi Centre for Atomic Research

Ontologies define a common vocabulary for researchers who need to share
information in a domain. It includes machine interpretable definition of basic concepts in the
domain and relationship among them. The CDPS in Fast breeder Test Reactor consists of two
embedded system namely SS-I (sub system – I) & SS-II (sub system –II) connected in fault
tolerant configuration. Protégé 4.0.1 is an open source development environment for
ontologies and knowledge based system [4].
This paper also deals with various aspects of ontology as follows: we discuss why ontology
(Section II), the role of ontology in multi agent (Section III), An example of semantic concept
representation in the World Wide Web domain (Section IV), Ontology Environment in an
organization (Section V). Ontology Development (Section VI) , Knowledge Management
Architecture for Fast Breeder Reactor (Section VII), a view of related work is in Central Data
Processing System (CDPS) as Case Study (Section VIII), finally conclusion and future work
are presented (Section IX ).
2. WHY ONTOLOGY?
Managing knowledge on the web is an important issue for the given the large
volume of information available through internet at all times. Being internet is dynamic
nature; it is a tough assignment to handle the knowledge. As the volume of information on
the web grows, the time required to locate and digest information also increases squarely.
Sharing common understanding of the structure of information among people or software
agents is more common goals in developing ontologies. Knowledge contained in ontology is
relatively easier to extract by analyzing the schema files in the structure of web document. In
the scope of semantic web, ontologies are represented using family of description logics
based languages which includes the language RDF (Resource Description Framework),
DAML (DARPA Modeling language) and more recently W3C (World Wide Web
Consortium) recommendation ontology web language.
Ontologies facilitate the interoperability between heterogeneous systems involved in
commonly interested domain application by providing a shared understanding of domain
problem and a formalization that makes ontologies machine processable. The ultimate vision
for a semantic web is to create an internet, which can be understood by the computers for
proper navigation [5].
3. ONTOLOGY IN MULTI AGENT SYSTEM
Ontology should be machine readable. In a Multi agent system where more than one
agent is present and where the agents can interact and communicate using ontology and a
content language. Knowledge acquisition is very important part in the ontology process and it
applies different operations like knowledge creation, knowledge translation and knowledge
retrieval.
It is easier for agents to communicate and share knowledge applying a common
ontology. In the real world this does not always happen, people and agents may use different
words that have the same meaning or refer to the same concrete or abstract object or they
may use the same word to refer to different meaning [6]. An Agents’ ontology consists of the
specifications of a conceptualization which includes the terms used to name objects,
functions and relation in the agent’s world [7]. An object is anything that we can describe
something. An object can be concrete or abstract, primitive or composite, fictional or nonfictional.
A set object can be grouped to form an abstract object called a class. Figure-1
shows the relationship between world, agent, conceptualization and ontology.