Demonstrates how to load RDF and OWL knowledge bases into AllegroGraph and how queries are executed over the data with an optimized SPARQL engine. Also demonstrated are Geo-spatial, Prolog, and social network analysis queries on the same database.
URL: https://www.youtube.com/watch?v=KqBI2nEtKDc
Keywords: Prolog, Triple store, Graph database, Semantic network, AllegroGraph, Java
Publisher: AllegroGraph
Date created: 2013-01-28 07:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P60M
Educational use: instruction
Educational audience: generalPublic
Interactivity type: expositive
- Articulates differences between the RDF abstract data model and the XML and relational models.
- Understands how components of the RDF data model (datasets, graphs, statements, and various types of node) are expressed in the RDF library of a given programming language by constructs such as object
- Understands how the pattern matching of SPARQL queries can be expressed using functionally equivalent constructs in RDF programming libraries.
- Understands the difference between SQL query language (which operates on database tables) and SPARQL (which operates on RDF graphs).
- Uses available tools, servers, and endpoints to issue queries against a dataset.
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