Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Learn to construct local knowledge graphs for Open Source Intelligence (OSINT) operations that bypass API rate limits while maintaining operational security in this 41-minute conference talk. Discover how to leverage Knowledge Graphs and Resource Description Framework (RDF) technology to build queryable OSINT repositories that operate completely offline, eliminating dependence on third-party providers and reducing exposure of investigative activities. Master techniques for scraping and aggregating data from multiple public OSINT sources in reproducible workflows, then transform heterogeneous data into standardized RDF format aligned with common ontologies. Explore the process of packaging normalized data into local datasets and loading them into a triplestore for complex SPARQL queries without external API calls. Gain practical skills in setting up local triplestore infrastructure, designing workflows that minimize OPSEC risks, and implementing incremental update and versioning systems for your knowledge graphs. Through live demonstrations and hands-on techniques, understand how to create sustainable OSINT analysis workflows that provide rich querying capabilities while maintaining complete control over your investigative data and methods.
