Semantic Web system for automatic plan scheduling

Abstract

In this paper we describe an ontology-based scheduling system which generates classes plans for university departments in an automatic way. Ontologies are proposed as structures which contain required data about courses, students, teachers, classrooms, programs, etc. In this way we can benefit from the existing ontologies, which describe parts of university needed for planning. FOAF ontology [9] is used to provide information about teachers and group of students and iCalendar ontology [5], [6] describes availability of teachers and rooms. For all other information, we develop University Ontology. For the scheduling the poly-optimization algorithm is implemented which utilizes gathered information from the above mentioned ontologies. © 2009 Springer-Verlag Berlin Heidelberg.