BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//hacksw/handcal//NONSGML v1.0//EN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20230204T012421Z
DESCRIPTION:Click for Latest Location Information: http://edw2023digital.da
taversity.net/sessionPop.cfm?confid=155&proposalid=14413\nMore and more ent
erprises are adopting Knowledge Graphs. Some of this interest has come from
the incredible success firms like Google, Facebook, LinkedIn, and Amazon h
ave had with their graph efforts. Part of it comes from early adopters
in Enterprises who have found capabilities in Graph Databases that are ver
y difficult to replicate in traditional systems, such as graph analytics. O
ther interest comes from firms using the graph as an integration hub.\nThis
tutorial will start with what is a Graph Database, and how do they relate
to Knowledge Graphs. We will show how relational, big data, and even unstru
ctured data can be mapped to Graph. We will explore and demonstrate the two
main types of Graph Databases: Labeled Property Graphs and RDF Triple Stor
es and discuss the pros and cons of each. By the end of this tutorial, atte
ndees will:\n\n
Understand what Graph Databases and Knowledge Graphs are, and how they dif
fer from traditional databases\n
Be able to distinguish Labeled Property Graphs and Triple Store, and under
stand the strengths and weaknesses of each\n
Understand when to select a graph rather than a relational data structure\
n
Appreciate the appropriate applications for Knowledge Graphs\n\nAgenda:\n\
n What is a Knowledge Graph?\n Value proposition for Knowledge Graphs:\n \n
Flexibility\n
Ability to integrate structured, semi-structured, and unstructured data\n
Graph analytics\n \n \n
A cook’s tour and demo of Labeled Property Graphs\n
A cook’s tour and demo of RDF Triple Store\n
Discussion of knowledge graph use cases\n
A road map for getting started\n\n
DTSTART:20230331T080000
SUMMARY:T15: Understanding Knowledge Graphs
DTEND:20230331T105959
LOCATION: See Description
END:VEVENT
END:VCALENDAR