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Ontology extraction from MongoDB using formal concept analysis
Maison d'édition
: IEEE Xplore
Date de parution
2017-10-21
Résumé
Using formal concept analysis, we propose a method
for engineering ontology from MongoDB to effectively represent
unstructured data. Our method consists of three main phases:
(1) generating formal context from a MongoDB, (2) applying
formal concept analysis to derive a concept lattice from that
formal context, and (3) converting the obtained concept lattice
to the first prototype of an ontology. We apply our method on
NorthWind database and demonstrate how the proposed
mapping rules can be used for learning an ontology from such
database. At the end, we discuss about suggestions by which we
can improve and generalize the method for more complex
database examples.
for engineering ontology from MongoDB to effectively represent
unstructured data. Our method consists of three main phases:
(1) generating formal context from a MongoDB, (2) applying
formal concept analysis to derive a concept lattice from that
formal context, and (3) converting the obtained concept lattice
to the first prototype of an ontology. We apply our method on
NorthWind database and demonstrate how the proposed
mapping rules can be used for learning an ontology from such
database. At the end, we discuss about suggestions by which we
can improve and generalize the method for more complex
database examples.
Notes
, 2017
Nom de l'événement
International Conference on Knowledge Engineering and Applications (ICKEA)
Lieu
London, United Kingdom
Identifiants
Type de publication
conference paper
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