Abstract
Recommendation systems has simplified decision making phase in
many instances. The paper seeks to help the interested candidate
looking to incorporate semantics, knowledge-graph, and ontology.
Literature reviews were presented deriving the research question
which seeks answers on the question how can we fit-in ensemble
learning to ontology in mapping the research scholars with common
interest areas of research? It has been determined that creating the
ontology of the researchers or experts with the highest acceptance
and frequency of engagement is the most acceptable approach.
As a result, we propose a system that first establishes the cluster,
then discovers the highest-ranking member in the cluster, and then
creates ontologies based on that to recommend to new users, and
then exposes them to the public domain as RDF using the neo4j
plugin. This is a proposal only and further exploration is required.
many instances. The paper seeks to help the interested candidate
looking to incorporate semantics, knowledge-graph, and ontology.
Literature reviews were presented deriving the research question
which seeks answers on the question how can we fit-in ensemble
learning to ontology in mapping the research scholars with common
interest areas of research? It has been determined that creating the
ontology of the researchers or experts with the highest acceptance
and frequency of engagement is the most acceptable approach.
As a result, we propose a system that first establishes the cluster,
then discovers the highest-ranking member in the cluster, and then
creates ontologies based on that to recommend to new users, and
then exposes them to the public domain as RDF using the neo4j
plugin. This is a proposal only and further exploration is required.
| Original language | English |
|---|---|
| Publication status | Published - 15 Dec 2021 |
| Event | The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Melbourne, Australia Duration: 14 Dec 2021 → 17 Dec 2021 Conference number: 20 |
Conference
| Conference | The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology |
|---|---|
| Abbreviated title | WI-IAT-21-Tech-Program |
| Country/Territory | Australia |
| City | Melbourne |
| Period | 14/12/21 → 17/12/21 |