An Ontology-Based Data Mining Approach for Predicting the Research Ideas using Past Research in the Wildlife Sector of Sri Lanka
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Date
2020Author
Premisha, P
Kumara, BTGS
Kudavidanage, EP
Banujan, K
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Show full item recordAbstract
Sri Lanka being a global
biodiversity hotspot, places great value for
biodiversity owing to ecological, socioeconomic, and cultural factors. However, the
wildlife of Sri Lanka is critically threatened
due to several factors, mainly human
activities and needs dire conservation
measures. Inadequate knowledge and
technical support also hinder wildlife
management activities. Findings of wildlife
research studies could be integrated into
data-driven conservation and management
decisions but the current contribution is not
satisfactory. .This research work shows a
novel data mining approach for finding
hidden keywords and automatic labelling for
past research work in this domain. We used
Latent Dirichlet Allocation (LDA) algorithms
to model topics and identify the major
keywords also developed an ontology model
to represent the relationships between each
keyword. Both approaches are also useful for
potential research ideas, to identify research
gaps and can classify the subjects related to a
publication by non-professional related
fields. The experiment results demonstrate
the validity and efficiency of the proposed
method.
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- Computer Science [66]