Cloud storage platform for efficient RDF compression
Yuxiang Sun, S H Lee, Y -J Lee · Journal of Physics Conference Series · 2019
In current web environment, a large of RDF datasets are producing. Thus, the storage of RDF data is becoming an important part of Semantic Web development. Due to the triple structure of RDF data, how to efficiently compress RDF data as much as possible without breaking the integrity of data is become one of the important issues. by Comparing previous research, we found that people had made many efforts in the compression of static, large RDF datasets. In this paper, we not only propose a cloud-based compression approach based on previous research, but also made efforts in data security. Due to the openness of the internet, anyone can publish their Linked Data. At this time, the security of personal data will become very important. Our cloud storage platform not only provides publishers with efficient compression services but also maximizes the security of data. To improve the openness of the platform, we adopt REST (REpresentational State Transfer) architecture to exchange data between publishers and cloud.