It is of great significance to provide the policy and legal support for the health of whole people by clarifying the various medical policies and laws through the knowledge management model. A knowledge base of medical poli-cies and laws was thus developed using the ontology technology based on the basic structure of medical policies and laws, which is consisted of a front-end management system and a back-end management system with excellent knowledge management functions, and can thus help the decision makers to work out their policies by making full use of its medial and legal knowledge.

It is necessary to provide a SPARQL query tool for biomedical researchers due to the massive data of bi-omedical ontology. However, manual input of SPARQL query statements is quite complicated and easy to produce errors. A Cytospace-based parameterized SPARQL query system was thus developed for biomedical ontology, which can generate a module with SPARQL query conditions used as parameters. Biomedical researchers can thus rapidly, easily and directly retrieve the data in several biomedical ontology knowledge libraries instead of manual input of SPARQL query statements.