Semantic Annotations and Retrieval of Pharmacobotanical Data

Images repositories would become a costly and meaningless data pool without descriptive metadata. This paper addresses the problem capturing knowledge necessary to register and retrieve pharmacobatonical data using semantic descriptions. We propose a Semantic Web-based Learning Management System based on Web services to provide a semantic reasoning layer between students’ queries and stored data, our approach enables students to handle shared data and get semantically rich results through the use of web-enabled semantic database queries.