Knowledge management 101
Still stuck while modeling your data? Start managing your knowledge instead! This workshop introduces tools and techniques to get the best of your information, including graph databases, RDF, SparQL and vector embeddings.
This workshop introduces knowledge management tools and techniques, showing how to describe knowledge instead of just modeling data.
Each section is based on jupyter. Participants should set up a dockerized environment before the tutorial.
Agenda
Part 1
- What is semantics? Describing information in a meaningful way: RDF and JSON-LD
- Knowledge Graphs and related technologies
- Exercises: using and querying the EU Country vocabulary
Part 2
- Storing data vs describing knowledge.
- Exercises: the DevSecOps dataset as a Knowledge Graph
- Getting security insights using SparQL
Part 3
- Graphs and semantic search: mixing Graph and Vector databases
- Exercises: the EU Recruitment dataset (ESCO) and CV analysis
You will learn about
- Resource Description Framework (RDF) and JSON-LD, rdflib
- Graph databases, Openlink Virtuoso, SparQL
- Vector search, Qdrant
Prerequisites
- beginner: docker, jupyter
- intermediate: python, JSON, YAML, HTML, HTTP
- good understanding of: databases, SQL, data modeling
Roberto Polli
Roberto works in Par-Tec, designing resilient, cloud and enterprise architectures based on open source components.
He was part of the Italian Government’s Digital Team, the task force created to develop “the Country’s operating system”. There he worked to create a national API Ecosystem based on internet standards.
He’s a Red Hat Certified Engineer and MySQL/MongoDB certified DBA, but loves maintaining free software.
A life ago he took a Math degree, and he’s really proud of it.