Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Natural Language Processing with Java

You're reading from   Natural Language Processing with Java Explore various approaches to organize and extract useful text from unstructured data using Java

Arrow left icon
Product type Paperback
Published in Mar 2015
Publisher
ISBN-13 9781784391799
Length 262 pages
Edition 1st Edition
Languages
Arrow right icon
Authors (2):
Arrow left icon
Richard M. Reese Richard M. Reese
Author Profile Icon Richard M. Reese
Richard M. Reese
Richard M Reese Richard M Reese
Author Profile Icon Richard M Reese
Richard M Reese
Arrow right icon
View More author details
Toc

Using extracted relationships


Relationships extracted can be used for a number of purposes including:

  • Building knowledge bases

  • Creating directories

  • Product searches

  • Patent analysis

  • Stock analysis

  • Intelligence analysis

An example of how relationships can be presented is illustrated by Wikipedia's Infobox, as shown in the following figure. This Infobox is for the entry Oklahoma and contains relationships types such as official language, capital, and details about its area.

There are many databases built using Wikipedia that extract relationships and information such as:

  • Resource Description Framework (RDF): This uses triples such as Yosemite-location-California, where the location is the relation. This can be found at http://www.w3.org/RDF/.

  • DBPedia: This holds over one billion triples and is an example of a knowledge base created from Wikipedia. This can be found at http://dbpedia.org/About.

Another simple, but interesting example, is the Infobox that is presented when a Google search of "planet mercury...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image