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Titlebook: Scripting Intelligence; Web 3.0 Information Mark Watson Book 2009 Mark Watson 2009 Clean.Natural.Processing.Ruby.SPARQL.Web 2.0.informatio

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发表于 2025-3-21 20:06:12 | 显示全部楼层 |阅读模式
书目名称Scripting Intelligence
副标题Web 3.0 Information
编辑Mark Watson
视频video
概述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 informatio
图书封面Titlebook: Scripting Intelligence; Web 3.0 Information  Mark Watson Book 2009 Mark Watson 2009 Clean.Natural.Processing.Ruby.SPARQL.Web 2.0.informatio
描述.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 . .
出版日期Book 2009
关键词Clean; Natural; Processing; Ruby; SPARQL; Web 2; 0; information extraction; intelligence; knowledge; natural l
版次1
doihttps://doi.org/10.1007/978-1-4302-2352-8
isbn_softcover978-1-4302-2351-1
isbn_ebook978-1-4302-2352-8
copyrightMark Watson 2009
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Creating Web Mashupsyou’ll create a mashup web application using the Twitter web services and Google Maps web services to display locations mentioned in your friends’ Twitter “tweets.” Mashups use either public APIs from existing web sites and/or web scraping to collect data and combine it one a single web page.
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Implementing Strategies for Large-Scale Data Storage’ve been discussing different types of data storage. But what happens when you have too much data to be hosted on a single serve using a relational database or RDF data store? Or what happens if you need to speed up data read/write operations because the latency is too large for users of your web applications?
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Using RDF and RDFS Data Formatse fax machine is useless; you need a critical mass of installed fax machines before you get the “network-effect” benefit. The same thing holds for the Semantic Web: tools get written as more content is published in software-readable forms, and more content is produced as more tools get written.
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