Designing, implementing and deploying an Enterprise Knowledge Graph from A to Z
Azanzi Jiomekong and Martins Folefac
Tutorial Level: Beginners with no knowledge in Semantic Web
Tutorial abstract:
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