http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Graph Databases in Action introduces you to graph database concepts by comparing them with relational database constructs. You'll learn just enough theory to get started, then progress to hands-on development. Discover use cases involving social networking, recommendation engines and personalization. Summary Relationships in data often look far more like a web than an orderly set of rows and columns. Graph databases shine when it comes to revealing valuable insights within complex, interconnected data such as demographics, financial records or computer networks.
Part 1. Getting started with graph databases. 1. Introduction to graphs -- 2. Graph data modeling -- 3. Running basic and recursive traversals -- 4. Pathfinding traversals and mutating graphs -- 5. Formatting results -- 6. Developing an application -- Part 2. Building on graph databases. 7. Advanced data modeling techniques -- 8. Building traversals using known walks -- 9. Working with subgraphs -- Part 3. Moving beyond the basics. 10. Performance, pitfalls, and anti-patterns -- 11. What's next : graph analytics, machine learning, and resources.
Dave Bechberger, Josh Perryman ; foreword by Ted Wilmes.