Ontologies are an inevitable aspect of knowledge
representation, processing, sharing and reuse and this in itself is
the essence and significance of ontology. The number of
ontologies available online is growing at a rapid pace. This
conspicuous growth of ontologies enables sharing of knowledge
in distributed and heterogeneous systems. The tremendous
growth of ontologies has implied the popping up of multiple
ontologies of the same domain. Applications developed based on
these ontologies cannot achieve interoperability. To conquer this
problem one of the optimum solution is to merge the ontologies
in to a single general complete ontology. This brings up the need
for a method which merges multiple ontologies, producing
consistent, complete ontology. Another decisive factor worth
consideration is the performance of multiple ontology merge
process in terms of time. The current research work proposes a
new cluster based multiple ontology parallel merge process. The
performance of the multiple ontology merge process is finetuned
by considering the similarity measure and parallel merge
process. The proposed method produces consistent, optimum
and complete knowledge of the domain as a single ontology with
reduced time, which can be used by heterogeneous applications.
The proposed method is implemented and a comparison of time
complexity of the processing is presented at the end.
Ontologies are an inevitable aspect of knowledgerepresentation, processing, sharing and reuse and this in itself isthe essence and significance of ontology. The number ofontologies available online is growing at a rapid pace. Thisconspicuous growth of ontologies enables sharing of knowledgein distributed and heterogeneous systems. The tremendousgrowth of ontologies has implied the popping up of multipleontologies of the same domain. Applications developed based onthese ontologies cannot achieve interoperability. To conquer thisproblem one of the optimum solution is to merge the ontologiesin to a single general complete ontology. This brings up the needfor a method which merges multiple ontologies, producingconsistent, complete ontology. Another decisive factor worthconsideration is the performance of multiple ontology mergeprocess in terms of time. The current research work proposes anew cluster based multiple ontology parallel merge process. Theperformance of the multiple ontology merge process is finetunedby considering the similarity measure and parallel mergeprocess. The proposed method produces consistent, optimumand complete knowledge of the domain as a single ontology withreduced time, which can be used by heterogeneous applications.The proposed method is implemented and a comparison of timecomplexity of the processing is presented at the end.
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