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Optimizing Ontology Mapping Using Genetic Algorithms (OOMGA)


Affiliations
1 Department of Computer Science, Guru Nanak Girls College, Yamuna Nagar, Haryana, India
 

Ontologies play a vital role in knowledge representation in artificial intelligent systems. With emergence and acceptance of semantic web and associated services offered to the users, more and more ontologies have been developed by various stack-holders. Different ontologies need to be mapped for various systems to communicate with each other. Ontology mapping is an open research issue in web semantics. Exact mapping of ontologies is rare to achieve so it’s an optimization problem. This work presents and optimized ontology mapping mechanism which deploys genetic algorithm.

Keywords

Genetic Algorithm, Ontology, Ontology Alignment, Ontology Mapping, Optimized Ontology Mapping.
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  • Optimizing Ontology Mapping Using Genetic Algorithms (OOMGA)

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Authors

Aarti Singh
Department of Computer Science, Guru Nanak Girls College, Yamuna Nagar, Haryana, India

Abstract


Ontologies play a vital role in knowledge representation in artificial intelligent systems. With emergence and acceptance of semantic web and associated services offered to the users, more and more ontologies have been developed by various stack-holders. Different ontologies need to be mapped for various systems to communicate with each other. Ontology mapping is an open research issue in web semantics. Exact mapping of ontologies is rare to achieve so it’s an optimization problem. This work presents and optimized ontology mapping mechanism which deploys genetic algorithm.

Keywords


Genetic Algorithm, Ontology, Ontology Alignment, Ontology Mapping, Optimized Ontology Mapping.

References