Nanjing, Jinling - Asia Pacific Tower

8 Floor, 8/F, Asia Pacific Building, Jinling Hotel, No.2 Hanzhong Road, Xinjiekou, Gulou District, Nanjing, China, 210005
Standing in the heart of city's bustling Xin Jie Kou CBD, Regus business centre is on the 8th floor of Jinling Hotel Asia Pac...

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Semantic Web
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Semantic Wiki

Explore Our Courses

Introduction to Graph Computing

28 Hours
In this instructor-led, live training in NanJing, participants will learn about the technology offerings and implementation approaches for processing graph data. The aim is to identify real-world objects, their characteristics and relationships, then model these relationships and process them as data using a Graph Computing (also known as Graph Analytics) approach. We start with a broad overview and narrow in on specific tools as we step through a series of case studies, hands-on exercises and live deployments. By the end of this training, participants will be able to:
  • Understand how graph data is persisted and traversed.
  • Select the best framework for a given task (from graph databases to batch processing frameworks.)
  • Implement Hadoop, Spark, GraphX and Pregel to carry out graph computing across many machines in parallel.
  • View real-world big data problems in terms of graphs, processes and traversals.
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Semantic Web Overview

7 Hours
The Semantic Web is a collaborative movement led by the World Wide Web Consortium (W3C) that promotes common formats for data on the World Wide Web. The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries.
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Apache Jena: Creating a Semantic Web Application

21 Hours
Apache Jena is an open source Java framework for building Semantic Web and Linked Data applications. In this instructor-led, live training, participants will learn how to use Apache Jena to build and deploy a Semantic Web Application.  By the end of this training, participants will be able to:
  • Install and configure Apache Jena
  • Convert and store data in RDF format
  • Query RDF data using SPARQL
  • Test and deploy a semantic web application
Audience
  • Developers
  • Data Engineers
Format of the Course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • To request a customized training for this course, please contact us to arrange.
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Blazegraph: Creating a Graph Database Application

21 Hours
Blazegraph is an open source, Java-based RDF graph database for storing and representing data with complex relationships. It supports Blueprints and RDF/SPARQL 1.1. In this instructor-led, live training, participants will learn how to use Blazegraph to capture complex data in graph format for retrieval from a number of sample applications. All exercises will be carried out hands-on in a live-lab environment. By the end of this training, participants will be able to:
  • Install and configure Blazegraph in standalone mode, clustered mode (optional) or embedded mode (optional)
  • Create, test and deploy a sample application to query complex data in a Blazegraph data store
  • Understand how to leverage GPU (graphics processing unit) to accelerate computations
Audience
  • Developers
Format of the Course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • To request a customized training for this course, please contact us to arrange.
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SPARQL

14 Hours
This instructor-led, live training in NanJing (online or onsite) is aimed at technical persons who wish to query RDF data stored in a Semantic Web database. By the end of this training, participants will be able to:
  • Understand the difference between semantic web data and relational data.
  • Query public datasets based on Semantic Web standards.
  • Model data for querying with SPARQL.
  • Transition a website's data to semantic web linked data.
  • Run SPARQL queries from within an existing application.
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Introduction to Semantic MediaWiki

7 Hours
MediaWiki is a free and open-source wiki software. This one-day course provides participants with an introduction to Semantic MediaWiki.
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Testimonials (3)

Broad coverage and deep knowledge about Semantic Web

XINJIAN GUO - Yale University
Course - Semantic Web Overview

He was interactive.

Suraj
Course - Semantic Web Overview

Very nice training

Maira Frisch - Novartis Pharma AG
Course - SPARQL

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