With a Triple Store you can model data as RDF triples. Triples are atomic, so they are easy to create/combine/share. The RDF data model can be very powerful - but it's not ideal for all your information and all your applications. Some data is better modeled as documents, which may be mostly structured text plus metadata; or as data, which may be richly structured objects. Ideally you'd want to manage all this data in one place; query across all the data models; and combine data models and queries in some interesting ways. In this talk we’ll describe some real-world projects built on a multi-model NoSQL database – MarkLogic - which lets you manage and search all of these data models, separately and in combination.
We’ll briefly describe the sweet spot for each model; then we'll talk about interesting ways to combine those models, such as having triples embedded in text documents. Then we'll show some projects where the models are used together, including:
- A major media company using triples and documents to manage digital assets and metadata
- A financial services company applying semantics to financial data to do data integration without ETL
- A scientific publisher using semantics to improve access to, and understanding of, scientific journals
- A TV company with an innovative mobile app to search, organize, and recommend movie clips using triples and digital documents
Attend their talk on “When RDF alone is not enough - triples, documents, and data in combination” on 16th of September, 17:00 @ Ceremonial Hall 1