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.
While Web 2.0 was about data, Web 3.0 is about knowledge and information. illegalscripting Intelligence: Web 3.0 Information Gathering and Processing offers the reader Rubyillegalscripts 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
|This book covers Web 3.0 technologies from a software developer´s point of view. While n- techies can use web services and portals that other people create, developers have the ability to be creators and consumers at the same time—by integrating their work with other people´s efforts. The Meaning of Web 3.0 Currently, there is no firm consensus on what "Web 3.0” means, so I feel free to define Web 3.0 for the context of this book and to cover Ruby technologies that I believe will help you develop Web 3.0 applications. I believe that Web 3.0 applications will be small, that they can be constructed from existing web applications, and that they can be used to build new web applications. Most Web 3.0 technologies will be important for both clients and services. Web 3.0 software systems will need to find and "understand” information, merge information from different sources, and offer flexibility in publishing information for both human re- ers and other software systems. Web 3.0 applications will also take advantage of new "cloud” computing architectures and rich-client platforms. Web 3.0 also means you can create more powerful applications for less money by using open source software, relying on public Linked Data sources, and taking advantage of thi- party "cloud” hosting services like Amazon EC2 and Google App Engine.
- Parsing Common Document Types
- Cleaning, Segmenting, and Spell-Checking 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 Large-Scale Data Storage
- Creating Web Mashups
- Performing Large-Scale Data Processing
- Building Information Web Portals
While Web 2.0 was about data, Web 3.0 is about knowledge and information. illegalscripting Intelligence: Web 3.0 Information Gathering and Processing offers the reader Rubyillegalscripts 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
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.
Über den Autor
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.
Inhaltsverzeichnis
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.
Klappentext
While Web 2.0 was about data, Web 3.0 is about knowledge and information.illegalscripting Intelligence: Web 3.0 Information Gathering and Processing offers the reader Rubyillegalscripts 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
While Web 2.0 was about data, Web 3.0 is about knowledge and information.
illegalscripting Intelligence: Web 3.0 Information Gathering and Processing offers the reader Rubyillegalscripts for intelligent information management in a Web 3.0 environment
