Martins Folefac

Mr. Martins Folefac is an engineer in Computer Science from Ecole Polytechnique de Yaounde in Cameroon. Once he graduated, he started a startup in Machine Learning and Deep Learning. He is closely discussing with scientists in four universities in Africa to bring his expertise to solve local problems with the help of Machine Learning and Deep Learning. This work allows him to develop a wealth of experience in the problems in Africa that need ML and DL to be solved. Thus, he built the e-learning platform Neuralearn\ (www.neuralearn.ai) for capacity building in Machine Learning and Deep Learning. This platform is accompanied by Youtube (https://www.youtube.com/channel/UC4vLiApNM0VEYE-WQCjcscA) to share free lectures in Machine learning and deep learning.

Enterprise Knowledge Graphs (EKGs) are increasingly becoming important in the Artificial Intelligence (AI) world. Based on ontologies and taxonomies, it is a great technology for data integration and analytic, semantic search and question answering, and many other AI applications. It’s frequently used to organize scientific data, organize data in companies and organizations, avoid data silos, furnish a common view of data to all stakeholders involved in a task, infer non hidden information from existing ones using the reasoning mechanism, etc. Our aim in this tutorial is to familiarize our audience with the complete development and integration of EKG.

Tutorial outline:

• Knowledge graphs
• Ontology construction
• From ontologies to knowledge graphs
• Integration of KG in real-world application
• Knowledge Graph automatic curation