YoVDO

Semantics and the MarkLogic NoSQL Database

Offered By: Udemy

Tags

NoSQL Databases Courses Ontology Courses Inference Courses Semantics Courses

Course Description

Overview

A hands-on guide to begin using semantics in MarkLogic

What you'll learn:
  • Describe what semantics is and how is it being used
  • Describe what triples are and where they come from
  • Load triples into a database
  • Enable a triple index
  • Write SPARQL queries
  • Combine SPARQL queries and search in a multi-model NoSQL database
  • Write path expressions to traverse a graph
  • Describe what inferencing is and perform inference using ontologies and rules
  • Update triples and graphs

In this hands-on training course you learn about the world of semantics and triples while using enterprise NoSQL multi-model database MarkLogic as your graph database for storing and querying triples while using open standards RDF and SPARQL.

In addition, learn how using a multi-model database allows you not only to create sophisticated queries against your triples, but also include other types of content, such as XML,JSON, and binarydocuments, in your real-time searches and transactional applications.

In this 8-hour course, you are provided with a free virtual machine that gives you the ability to do the entire course hands-on, at the same time as the instructor. As you go through the course hands-on, you learn how organizations are using semantics, where triples come from and how they can be created, the various triple formats, how to load triples into a MarkLogic database, how triples are stored in MarkLogic, how to generate a triple index, how to write SPARQL queries, how to write path expressions to traverse a graph, how to use inferencing to gain additional knowledge from triples, how to update triples, andhow to integrate search and SPARQL combination queries within an application.


Taught by

MarkLogic University

Related Courses

Discrete Inference and Learning in Artificial Vision
École Centrale Paris via Coursera
Teaching Literacy Through Film
The British Film Institute via FutureLearn
Linear Regression and Modeling
Duke University via Coursera
Probability and Statistics
Stanford University via Stanford OpenEdx
Statistical Reasoning
Stanford University via Stanford OpenEdx