Knowledge graph data modelling with TerminusDB
summary
Hands‑on workshop that turns two CSVs into a working knowledge graph in TerminusDB: build a schema (Employee document, Address subdocument, Team enum), load four employee records via the Python client and Docker or TerminusX cloud, and execute WOQL queries to fetch values (example: find Darcy’s manager and that manager’s phone). Shows JSON‑LD/document API for inserts, auto‑generated IDs versus explicit keys, commit/branch style revision control, and practical gotchas for optional fields and schema design. TerminusDB WOQL query Python client Docker
AI-written summary · about
chapters (21)
- 0:00Start
- 1:40What Is a Semantic Knowledge Graph
- 5:19File Formats
- 9:35How Can I Distinguish Two Cows from Different Farms
- 13:34Relational Database Model
- 16:38Rdf Xml Format
- 17:45Difference between the Knowledge Graph and a Tablet Format or a Sql Database
- 25:39Documents
- 33:38Properties
- 36:27Data Property
- 36:41Data Types
- 37:05Literal Data Types
- 43:04Design the Schema
- 52:37Open Source
- 54:38Inserting Data As Triple
- 58:58Getting Started Tutorial
- 1:13:16How To Make a Subdocument as a Document
- 1:21:20Enum Template
- 1:54:30Query Using Triples
- 1:56:42Create a Query Object
- 1:58:59Oracle Query
related talks
28mOntology Creation
44mBuilding Knowledge Graphs- 44mBuilding Knowledge Graphs
24mWhy You Need a Knowledge Graph And How to Build It
29mBuilding a knowledge graph with the Natural History Museum to work as a taxonomic equivalence engine
46mBuilding Knowledge Graphs
30mBuilding a Conversational Knowledge Base
31mLive Q&A