Sharing common understanding of the structure of information among people or software agents is one of the more common goals in developing ontologies.For example, a class of wines represents all wines. Specific wines are instances of this class. The Bordeaux wine in the glass in front of you while you read this document is an instance of the class of Bordeaux wines. A class can have subclasses that represent concepts that are more specific than the superclass. For example, we can divide the class of all wines into red, white, and ros� wines. Alternatively, we can divide a class of all wines into sparkling and non-sparkling wines.
Robust Module based data management system
Presented by :
M. Sai Krupani
The current trend for building an ontology-based data management system
(DMS) is to capitalize on efforts made to design a preexisting wellestablished DMS (a reference system).
The OWL Web Ontology Language is designed for use by applications that
need to process the content of information instead of just presenting
information to humans.
OWL facilitates greater machine interpretability of Web content than that
supported by XML, RDF, and RDF Schema (RDF-S) by providing additional
vocabulary along with a formal semantics.
It provides an introduction to OWL by informally describing the features of
each of the sublanguages of OWL. Some knowledge of RDF Schema is
useful for understanding this document, but not essential.
RDF- Resource Description Framework is a family of world wide web
consortium which is designed as metadata data model.
Ontology core meaning within computer science is a model for describing
the world that consists of a set of types, properties, and relationship types.
There is also generally an expectation that the features of the model in an
ontology should closely resemble the real world.
In computer science and information science, an ontology formally
represents knowledge as a set of concepts within a domain, using a shared
vocabulary to denote the types, properties and interrelationships of those
Ontology's are the structural frameworks for organizing information and are
used in artificial intelligence, the Semantic Web, systems
engineering, software engineering, biomedical informatics ,etc
WHAT IS ONTOLOGY IN ENGINEERING?
Ontology engineering in computer science and information science is
a new field, which studies the methods and methodologies for building
Formal representations of a set of concepts within a domain and the
relationships between those concepts. A large-scale representation of
abstract concepts such as actions:
An ontology language is a formal language used to encode the
OWL is a language for making ontological statements, developed as
a follow-on from RDF and RDFS.
OWL is intended to be used over the World Wide Web, and all its
elements (classes, properties and individuals) are defined as RDF
resources, and identified by URIs.
The current trend for building an ontology-based data management
system (DMS) is to capitalize on efforts made to design a preexisting
well-established DMS (a reference system).
The method amounts to extracting from the reference DMS a piece of
schema relevant to the new application needs – a module –, possibly
personalizing it with extra-constraints w.r.t. the application .
Problems on existing system:
It is not easy to maintain.
Its related data can not be retrieved
Here, we extend the existing definitions of modules and we introduce
novel properties of robustness that provide means for checking easily that a
robust module-based DMS evolves safely w.r.t. both the schema and the
data of the reference DMS.
We carry out our investigations in the setting of description logics which
underlie modern ontology languages, like RDFS(Resource Description
Notably, we focus on the SQL-Lite: the W3C recommendation for
efficiently managing large datasets.
This is very useful to maintain Data.
Search and retrieve the data is very Easy.
Configuration:H/W System Configuration:•Processor
S/W System Configuration:•Operating System
HTML, Java, Jsp , OWL
What ontology does?
An ontology defines a common vocabulary for researchers who need
to share information in a domain. It includes machine-interpretable
definitions of basic concepts in the domain and relations among them.
Why would someone want to develop an
Some of the reasons are:
To share common understanding of the structure of
information among people or software agents.
To enable reuse of domain knowledge.
To make domain assumptions explicit.
To separate domain knowledge from the operational
To analyze domain knowledge.
Goal for developing Ontology :
is Sharing common understanding of the structure of information
among people or software agents .
For example, in java a super class has n number of sub classes.
Where sub classes are the instances of the super class
A class can have subclasses that represent concepts that are more
specific than the super class.
For example, we can divide the class of all wines into
red, white, and rose wines.
Alternatively, we can divide a class of all wines into sparkling and
In practical terms, developing an ontology includes:
defining classes in the ontology,
arranging the classes in a taxonomic (subclass super class)
defining slots and describing allowed values for these slots,
filling in the values for slots for instances