Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Automatic Conversion of Relational Databases into Ontologies: A
  Comparative Analysis of Prot\'eg\'e Plug-ins Performances   Constructing ontologies from relational databases is an active research topic
in the Semantic Web domain. While conceptual mapping rules/principles of
relational databases and ontology structures are being proposed, several
software modules or plug-ins are being developed to enable the automatic
conversion of relational databases into ontologies. However, the correlation
between the resulting ontologies built automatically with plug-ins from
relational databases and the database-to-ontology mapping principles has been
given little attention. This study reviews and applies two Prot\'eg\'e
plug-ins, namely, DataMaster and OntoBase to automatically construct ontologies
from a relational database. The resulting ontologies are further analysed to
match their structures against the database-to-ontology mapping principles. A
comparative analysis of the matching results reveals that OntoBase outperforms
DataMaster in applying the database-to-ontology mapping principles for
automatically converting relational databases into ontologies.

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The categories of this paper are: supr-con
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The categories of this paper are: dg-ga
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The categories of this paper are: math
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The categories of this paper are: alg-geom
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The categories of this paper are: comp-gas
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The categories of this paper are: acc-phys
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The categories of this paper are: chao-dyn
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The categories of this paper are: hep-ex
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The categories of this paper are: solv-int
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The categories of this paper are: chem-ph
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The categories of this paper are: cmp-lg
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The categories of this paper are: q-bio
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The categories of this paper are: cond-mat
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The categories of this paper are: ao-sci
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The categories of this paper are: quant-ph
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The categories of this paper are: atom-ph