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A Graph Derivation Based Approach for Measuring and
Comparing Structural Semantics of Ontologies
Abstract
Ontology reuse offers great benefits by measuring and comparing ontologies. However, the state of art
approaches for measuring ontologies neglects the problems of both the polymorphism of ontology
representation and the addition of implicit semantic knowledge. One way to tackle these problems is to
devise mechanism for ontology measurement that is stable, the basic criteria for automatic
measurement. In this paper, we present a graph derivation representation based approach (GDR) for
stable semantic measurement, which captures structural semantics of ontologies and addresses those
problems that cause unstable measurement of ontologies. This paper makes three original
contributions. First, we introduce and define the concept of semantic measurement and the concept of
stable measurement. We present the GDR based approach, a three-phase process to transform an
ontology to its GDR. Second, we formally analyze important properties of GDRs based on which stable
semantic measurement and comparison can be achieved successfully. Third but not the least, we
compare our GDR based approach with existing graph based methods using a dozen real world exemplar
ontologies. Our experimental comparison is conducted based on nine ontology measurement entities
and distance metric, which stably compares the similarity of two ontologies in terms of their GDRs.
Existing system
Ontology reuse offers great benefits by measuring and comparing ontologies. However, the state of art
approaches for measuring ontologies neglects the problems of both the polymorphism of ontology
representation and the addition of implicit semantic knowledge. One way to tackle these problems is to
devise mechanism for ontology measurement that is stable, the basic criteria for automatic
measurement.

2. Proposed system
In this paper, we present a graph derivation representation based approach (GDR) for stable semantic
measurement, which captures structural semantics of ontologies and addresses those problems that
cause unstable measurement of ontologies. This paper makes three original contributions. First, we
introduce and define the concept of semantic measurement and the concept of stable measurement.
We present the GDR based approach, a three-phase process to transform an ontology to its GDR.
Second, we formally analyze important properties of GDRs based on which stable semantic
measurement and comparison can be achieved successfully. Third but not the least, we compare our
GDR based approach with existing graph based methods using a dozen real world exemplar ontologies.
Our experimental comparison is conducted based on nine ontology measurement entities and distance
metric, which stably compares the similarity of two ontologies in terms of their GDRs.
SYSTEM CONFIGURATION:-
HARDWARE CONFIGURATION:-
 Processor - Pentium –IV
 Speed - 1.1 Ghz
 RAM - 256 MB(min)
 Hard Disk - 20 GB
 Key Board - Standard Windows Keyboard
 Mouse - Two or Three Button Mouse
 Monitor - SVGA
SOFTWARE CONFIGURATION:-
 Operating System : Windows XP
 Programming Language : JAVA
 Java Version : JDK 1.6 & above.