Scripting Intelligence: Web 3.0 Information, Gathering and Processing (Paperback)

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 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 is this book 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.

Web 2.0強調的是數據，而Web 3.0則關注知識和信息。《Scripting Intelligence: Web 3.0 Information Gathering and Processing》這本書為讀者提供了在Web 3.0環境中進行智能信息管理的Ruby腳本，包括從文本中提取信息、使用語義網技術、信息收集（關聯數據庫元數據、網頁抓取、維基百科、Freebase）、結合多個來源的信息以及發布處理過的信息的策略。這本書對於任何需要在現代網絡環境中收集、處理和發布網絡或數據庫信息的人來說都是一個寶貴的工具。

以下是本書的內容概要：
- 文本處理技巧，包括語音標記和自動摘要
- 從語義網中收集、可視化和發布信息
- 從傳統來源（如關聯數據庫和網站）收集信息

你將學到以下內容：
- 在Web 3.0環境中收集和處理信息
- 看到使用Ruby進行信息收集和處理的靈活性
- 從各種文檔格式中提取文本
- 使用RDF數據模型和SPARQL查詢語言，這是語義網的基礎
- 使用GraphViz進行數據可視化
- 從關聯數據庫和網站中提取信息

這本書適合以下讀者：
- 需要收集和顯示電子格式信息的任何人
- 需要標記、摘要或發布信息的程序員
- 對Ruby進行信息管理和語義網工具感興趣的Ruby程序員和電腦愛好者
- 需要以更自動化的方式提取和組織信息的學術研究人員。