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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Cleaning, Segmenting, and Spell-Checking Textp this extracted text. For many applications, you’ll also want to segment text by identifying the boundaries of sentences and to spell-check text using a single suggestion or a list of suggestions. In this chapter, you’ll learn how to remove HTML tags, extract full text from an XML file, segment tex

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Natural Language Processingf natural (human) language. Such processing includes parsing natural-language text, generating natural language as a form of program output, and extracting semantics. I have been working in this field since the 1980s using a wide variety of programming techniques, and I believe that quantitative met

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Conscientious

Delving Into RDF Data Storesg RDF by working through the setup and use of three RDF data stores. In Chapter 6, I will cover the technical details of using RDF with SPARQL queries. Chapter 7 contains examples for publishing RDF data, and in Chapter 10 you’ll see how you can use RDF to store relations between data extracted from

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Archipelago

Implementing SPARQL Endpoint Web Portalsand applications. I believe that as more “smart,” semantically rich data becomes available, the economy-of-scale arguments in favor of using very large systems as opposed to smaller systems diminish because accessing data to drive smaller web portals becomes easier. As it becomes technically easier

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Supporting Indexing and Searchirect search functionality through both web interfaces and remote APIs for searching the published data. I’ll explore several approaches for supporting search. I start this chapter with an overview of available off-the-shelf options for indexing and search. I will discuss the pros and cons of these

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Collision

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.