期刊名称:Lecture Notes in Engineering and Computer Science
印刷版ISSN:2078-0958
电子版ISSN:2078-0966
出版年度:2019
卷号:2239
页码:352-357
出版社:Newswood and International Association of Engineers
摘要:The need for information related to the Indonesian
traditional herbal drink, jamu, has increased in the recent years
as jamu becomes a more economical option for alternative
treatment. Experts in jamu are needed to provide information
such as the type of jamu to drink, how to brew it, or where to
get it. These experts may have different concepts and/or
abilities to recognize symptoms resulting in different opinions.
For this reason, we propose a system that has the ability to
comprehend jamu related information and manage that
information into knowledge. This knowledge can then be
accessed by the public to give them an insight on how to treat a
certain disease. For this system, a standard model is needed to
represent all the information concerning jamu. An ontology is
used to model the knowledge from the jamu information with
RDFS knowledge base to describe the schema.