The domestic scholar has done a massive research for ancient Chinese medicine encyclopedia in order to make those books more effective use. Furthermore, they digitalize ancient Chinese medicine encyclopedia into knowledge database in order to provide a internet inquiry service system. Those works are remarkable, but still lack in providing relational analysis.
The purpose of our research is to build a relational knowledge database inquiry system for Chinese medicine books. It is going to base on structural Ontology, concept of Information Extraction and Data mining, and from these 1.18 million digitalize words, which published by Committee on Chinese Medicine and Pharmacy. In our system, we provide the inquiry function by keywords of category, dynasty, and author, also our system can find out the important term by calculated the word frequency. The last function is to exchange the medicine unit in different dynasty.
In our research, we believe that it can provide a better way of efficiently searching through our system and also provide researchers with an aid to help with their research in finding the information they need from the our system.
