Ontology extraction from MongoDB using formal concept analysis
Publisher
: IEEE Xplore
Date issued
October 21, 2017
Subjects
MongoDB Ontology learning Formal Concept
Analysis Unstructured data
Abstract
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
Event name
International Conference on Knowledge Engineering and Applications (ICKEA)
Location
London, United Kingdom
Publication type
conference paper
File(s)