A Survey on Tools and Algorithms of Ontology Operations
S. Chitra, Gnanasekaran Aghila
Abstract
S. Chitra, Gnanasekaran Aghila
Abstract
Ontologies are currently emerging as representation techniques for overlapping complimentary context domains. A single ontology is no longer enough to support the tasks predicted by a distributed environment like the Semantic Web. Need to be access multiple ontologies from several applications. Ontology management is possible through interoperability of semantic data sources. Importance of ontology especially its application in the WWW leads to Semantic Web that is being standardized in various research and application. Different ontological tools have different data representation and operations of concepts with respect to their input. Their functionalities and information structures also vary across their tools and operations. There are at present very few survey papers that provide in-depth discussion of these techniques and their applications. In this paper we converse the various state-of-the-art ontological tools with their internal operations and various algorithms .
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Ontologies are currently emerging as representation techniques for overlapping complimentary context domains. A single ontology is no longer enough to support the tasks predicted by a distributed environment like the Semantic Web. Need to be access multiple ontologies from several applications. Ontology management is possible through interoperability of semantic data sources. Importance of ontology especially its application in the WWW leads to Semantic Web that is being standardized in various research and application. Different ontological tools have different data representation and operations of concepts with respect to their input. Their functionalities and information structures also vary across their tools and operations. There are at present very few survey papers that provide in-depth discussion of these techniques and their applications. In this paper we converse the various state-of-the-art ontological tools with their internal operations and various algorithms .
Key concepts: Computer science, Ontology, Semantic Web, Ontology-based data integration, Upper ontology, Interoperability, Information retrieval, Process ontology