READIT - 2009 - Indira Gandhi Centre for Atomic Research

to have an environment that allows access from multi places. This is similar to Server/Client
architecture.
Platform Interconnectivity
When applications become embedded in more complex platforms, it becomes
important for environments to enable to read and write in compatible formats and to integrate
with multiple hardware and software environments etc. Java based application provide a
convenient approach to this problem
Security
Some applications will have needs for differing access to portions of ontology. Thus it
is important to have an environment that can expose portions of ontology. Thus it is
important to have an environment that can expose portions of the ontology based on a
security model.
4. ONTOLOGY DEVELOPMENT
Classes are the focus of most ontologies. Classes describe concepts in the domain. A
class can have subclasses that represent concepts that are most specific than the super-class.
Developing ontology includes the following 1) Defining classes in the ontology.2) Arranging
the classes in a taxonomic (subclass- super-class) hierarchy.3) Defining slots and describing
allowed values for these slots.4) Filling in the values for slots for instances.
Then create a knowledge base by defining individual instances of these classes filling
in specific slot value information and additional slot restrictions. There is no one “correct”
way or methodology for developing ontologies [8]. Ontology development is necessarily an
iterative process.
5. KNOWLEDGE MANAGEMENT ARCHITECTURE FOR FAST
BREEDER THE REACTOR
System consists of different agent like Electronics & Instrumentation Group (EIG),
Reactor Physics Group (RPG), Fast Reactor Technology Group (FRTG), Reactor
Engineering Group (REG), Plan Group (PG), Reactor Operation and Maintenance Group
(ROMG). Each system consists of tacit and explicit knowledge and that are shared through
their network. Information is different from knowledge [9]. By converting the information as
knowledge ontology and there by employing case based reasoning to optimize the search.
When a query commences from a user comprising of knowledge required from two groups
then it will be processed by a common agent system called as coordinate agent to parse the
knowledge, thereby giving relevant feedback to the user. This is shown in figure-2.
REG
Agent
FRTG Agent
ROMG
Agent
Coordinate
Agent
EIG
Agent
RPG Agent
Figure -2