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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

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Product type Paperback
Published in Mar 2015
Publisher
ISBN-13 9781784391799
Length 262 pages
Edition 1st Edition
Languages
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Authors (2):
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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
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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...

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