  Literature analysis is a key step in obtaining background information in
biomedical research. However, it is difficult for researchers to obtain
knowledge of their interests in an efficient manner because of the massive
amount of the published biomedical literature. Therefore, efficient and
systematic search strategies are required, which allow ready access to the
substantial amount of literature. In this paper, we propose a novel search
system, named Co-Occurrence based on Co-Operational Formation with Advanced
Method(COCOFAM) which is suitable for the large-scale literature analysis.
COCOFAM is based on integrating both Spark for local clusters and a global job
scheduler to gather crowdsourced co-occurrence data on global clusters. It will
allow users to obtain information of their interests from the substantial
amount of literature.
