TY  - JOUR
T1  - An Ontological Framework for Research Paper Recommendation
AU - Haruna, Khalid AU - Ismail, Maizatul Akmar 
JO  - International Journal of Soft Computing
VL  - 11
IS  - 2
SP  - 96
EP  - 99
PY  - 2016
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2016.96.99
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2016.96.99
KW  - Ontology
KW  -semantics
KW  -spreading activation
KW  -recommendation
KW  -research study
KW  -user profile
AB  - Research are increasing in an exponential quantity daily which wasted alot of time and effort in finding interesting and relevant publications over the internet. In this study, we proposed a conceptual framework that can likely extract data from researcher profiles, synthesize the data and provide personalized recommendations. The conceptual framework can also learned from the researcher’s response after recommendation in order to systematically adjust the result of the recommendations. This alternative approach is expected to provide more accurate and relevant research studys to the researchers more than the previous methods. This in turn may solve the problem of information overload. Future research directions are provided in the study.
ER  -