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Scripting Intelligence Web 3.0 Information Gathering and Processing

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Beschreibung

While Web 2.0 was about data, Web 3.0 is about knowledge and information. Scripting Intelligence: Web 3.0 Information Gathering and Processing offers the reader Ruby scripts for intelligent information management in a Web 3.0 environment—including information extraction from text, using Semantic Web...

Beschreibung

While Web 2.0 was about data, Web 3.0 is about knowledge and information.
Scripting Intelligence: Web 3.0 Information Gathering and Processing
offers the reader Ruby scripts for intelligent information management in a Web 3.0 environment—including information extraction from text, using Semantic Web technologies, information gathering (relational database metadata, web scraping, Wikipedia, Freebase), combining information from multiple sources, and strategies for publishing processed information. This book will be a valuable tool for anyone needing to gather, process, and publish web or database information across the modern web environment.



  • Text processing recipes, including speech tagging and automatic summarization

  • Gathering, visualizing, and publishing information from the Semantic Web

  • Information gathering from traditional sources such as relational databases and web sites


Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.07.2009

Abbildungen

XXIV, 392 p.

Verlag APress

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.07.2009

Abbildungen

XXIV, 392 p.

Verlag APress
Seitenzahl

392

Maße (L/B/H)

23,5/19,1/2,2 cm

Gewicht

737 g

Auflage

1st ed.

Sprache

Englisch

ISBN

978-1-4302-2351-1

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Scripting Intelligence
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  • Text Processing.- Parsing Common Document Types.- Cleaning, Segmenting, and Spell-Checking Text.- Natural Language Processing.- The Sematic Web.- Using RDF and RDFS Data Formats.- Delving Into RDF Data Stores.- Performing SPARQL Queries and Understanding Reasoning.- Implementing SPARQL Endpoint Web Portals.- Information Gathering and Storage.- Working with Relational Databases.- Supporting Indexing and Search.- Using Web Scraping to Create Semantic Relations.- Taking Advantage of Linked Data.- Implementing Strategies for Large-Scale Data Storage.- Information Publishing.- Creating Web Mashups.- Performing Large-Scale Data Processing.- Building Information Web Portals.