Ismail Aliyu

Work place: Department of Computer Science, Ahmadu Bello University Zaria, Nigeria

E-mail: ialiyu@atbu.edu.ng

Website:

Research Interests: Computational Learning Theory, World Wide Web, Models of Computation

Biography

Ismail Aliyu is a Doctorate student at the Department of Computer Science, A.B.U Zaria. He obtained B.Tech degree in Computer Science from Abubakar Tafawa Balewa University Bauchi, Nigeria, and MSc in Advanced Software Engineering from University of Sheffield, UK in 2013. His research interests include Information Extraction, a sub-area of NLP, Machine Learning, Semantic Web, and Knowledge Representation.

Author Articles
Development of Knowledge Graph for University Courses Management

By Ismail Aliyu A. F. D. Kana Salisu Aliyue

DOI: https://doi.org/10.5815/ijeme.2020.02.01, Pub. Date: 8 Apr. 2020

The task of Allocating courses to lecturers in many tertiary institutions is done manually by typing using word processor application. Motivated by the widespread application of knowledge graphs in different domains, we present automated approach based on knowledge graph to address the problem of manual course allocation to, a task usually carried out at the beginning of every semester or academic year by departments in tertiary institutions. The development of knowledge graph in a way that enables easy manipulation and automatic generation of course allocation schedule is the core contribution of this paper. Rather than storing the data in relational database tables, the system stores data in a knowledge graph which is in RDF/XML format and refer to it to support intelligent knowledge services. In addition to automatic generation of course allocation schedule, another important feature of the system proposed in this paper is its ability to enable easy implementation of tasks similar to Question Answering that are very important to education administrators, which the existing manual approach does not provide. Testing of the proposed system reveals its ability to perform effectively. Our approach of using Knowledge graph offers advantages such as flexibility and security.

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