Pelatihan Pemodelan Data Knowledge Graph untuk Mahasiswa Jurusan Ilmu Komputer Universitas Pertamina dan Jurusan Teknik Komputer - Informatika Politeknik Negeri Bandung

Abstract

Knowledge Graphs are at the core of the third era of computing, where big data and machine learning continuously enrich shared knowledge. Seeing this trend, the Department of Computer Engineering at the Bandung State Polytechnic and Pertamina University took the initiative to carry out Knowledge Graph training with Protégé and Neo4J tools. The learning method uses a PBL (Problem Based Learning) approach so that participants can understand the application of this knowledge graph data model in real-world cases. The implementation of this community service program is carried out in several stages, namely preparation, implementation, evaluation and reporting. The online training covers topics such as DEL graph and property graph, semantic network modelling using the DEL graph transformation protégé to property graph, and programming the Neo4j database graph for simple search engine application. The Hybrid search engine application was also introduced as an illustration and demonstration of the RDF knowledge graph model application. The evaluation results show a good level of satisfaction with the training materials, instructors and training methods. On the other hand, some technical problems, such as internet signal and training implementation time, still need to be fixed in the future. The knowledge and technical skills gained in this training will help participants become well prepared to carry out field work practice, work on final assignments, competitive in the job market competition or help them to improve their careers in the industrial world.