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

Inhaltsangabe- Parsing Common Document Types Cleaning, Segmenting, and SpellChecking Text Natural Language Processing Using RDF and RDFS Data Formats Delving Into RDF Data Stores Performing SPARQL Queries and Understanding Reasoning Implementing SPARQL Endpoint Web Portals Working with Relational Databases Supporting Indexing and Search Using Web Scraping to Create Semantic Relations Taking Advantage of Linked Data Implementing Strategies for LargeScale Data Storage Creating Web Mashups Performing LargeScale Data Processing Building Information Web Portals