Linked data portal and recommendation system for university admission | |
| Author | Wickramarathna, Sedillage Dona Harshani Samodya |
| Call Number | AIT Thesis no.CS-16-03 |
| Subject(s) | Recommender systems (Information filtering) Ontologies (Information retrieval) Linked data |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. CS-16-03 |
| Abstract | University admission is a complex decision process that goes beyond simply matching test scores and admission requirements. Whether a student chooses a right university and right degree program, and conversely whether a university chooses a right student, decides the success of both institute and the students in carrying through the education. Admission and enrollment studies are generally focused on the university or collage perspective, and studies based on secondary school subject selection perspective is limited. This study is proposing a knowledge-based system, developed using a Linked Data and Ontology-based approach. This system model the undergraduate admission scenario in Sri Lanka, together with the career path mapping, so that students can far see their future opportunities before taking decisions on advanced level subject selection or university application. |
| Year | 2016 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis : no. CS-16-03 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Computer Science (CS) |
| Chairperson(s) | Daily, Matthew N.; |
| Examination Committee(s) | Chutiporn Anutariya;Vatcharaporn Esichaikul; |
| Scholarship Donor(s) | Uva Wellassa University,Sri Lanka AIT Fellowship; |
| Degree | Thesis (M. Sc.) - Asian Institute of Technology, 2016 |