A Model for Agricultural Ontology Storage and Access Control Using HBase

Authors

  • Chao Liu, QingDong, Shaowen Li

Abstract

As ontologies incorporate increasing amounts of knowledge, and knowledge that spans multiple fields, there are increasing concerns relating to data privacy. This paper focusses on the field of agricultural knowledge, introducing a role-based model for access control and proposing a scalable HBase model for the storing agricultural ontologies. Access control is achieved by adding role identifiers to the row key. A series of query algorithms are presented and the model is tested by running a series of experiments using different queries and data sets of different sizes.

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Published

2020-08-01

Issue

Section

Articles