Scripting Intelligence: Web 3.0 Information Gathering and Processing - Brossura

Watson, Mark

Brossura

ISBN 10: 1430223510 ISBN 13: 9781430223511

Casa editrice: Apress, 2009

Riassunto

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

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

  

Su questo libro

L'autore:

Mark Watson is the author of 14 books on artificial intelligence, Java, C++, UML, and Linux. He is a consultant who uses Ruby, Java, and Common Lisp. He maintains a web site at markwatson.com.

Contenuti:

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

  

Su questa edizione

• Editore: Apress
• Data di pubblicazione: 2009
• ISBN 10: 1430223510
• ISBN 13: 9781430223511
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 365