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Scripting Intelligence

Web 3.0 Information Gathering and Processing

By Mark Watson

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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.

Full Description

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  • ISBN13: 978-1-4302-2351-1
  • User Level: Intermediate to Advanced
  • Publication Date: June 29, 2009
  • Available eBook Formats: PDF

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Full Description

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

What you’ll learn

  • Gather and process information within the Web 3.0 environment.
  • See the flexibility of scripting with Ruby to gather and process information.
  • Extract text from various document formats.
  • Work with the Resource Description Framework (RDF) data model and SPARQL query language, the foundations of the Semantic Web.
  • Use GraphViz for data visualization.
  • Extract information from relational databases and web sites.

Who this book is for

  • Anyone needing to gather and display information available in electronic formats
  • Programmers needing to tag, summarize, or publish information
  • Ruby programmers and computer enthusiasts interested in seeing what Ruby can do with information management and Semantic Web tools
  • Academic researchers needing to extract and organize information in a more automated way

Table of Contents

Table of Contents

  1. Parsing Common Document Types
  2. Cleaning, Segmenting, and Spell-Checking Text
  3. Natural Language Processing
  4. Using RDF and RDFS Data Formats
  5. Delving Into RDF Data Stores
  6. Performing SPARQL Queries and Understanding Reasoning
  7. Implementing SPARQL Endpoint Web Portals
  8. Working with Relational Databases
  9. Supporting Indexing and Search
  10. Using Web Scraping to Create Semantic Relations
  11. Taking Advantage of Linked Data
  12. Implementing Strategies for Large-Scale Data Storage
  13. Creating Web Mashups
  14. Performing Large-Scale Data Processing
  15. Building Information Web Portals

Source Code/Downloads

Downloads are available to accompany this book.

Your operating system can likely extract zipped downloads automatically, but you may require software such as WinZip for PC, or StuffIt on a Mac.

Errata

If you think that you've found an error in this book, please let us know by emailing to editorial@apress.com . You will find any confirmed erratum below, so you can check if your concern has already been addressed.
No errata are currently published

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