Linked Data: Structured data on the Web

Linked Data: Structured data on the Web

David Wood, Marsha Zaidman, Luke Ruth, Michael Hausenblas

Language: English

Pages: 302

ISBN: 1617290394

Format: PDF / Kindle (mobi) / ePub


The current Web is mostly a collection of linked documents useful for human consumption. The evolving Web includes data collections that may be identified and linked so that they can be consumed by automated processes. The W3C approach to this is Linked Data and it is already used by Google, Facebook, IBM, Oracle, and government agencies worldwide.

Linked Data presents practical techniques for using Linked Data on the Web via familiar tools like JavaScript and Python. You'll work step-by-step through examples of increasing complexity as you explore foundational concepts such as HTTP URIs, the Resource Description Framework (RDF), and the SPARQL query language. Then you'll use various Linked Data document formats to create powerful Web applications and mashups.

Written to be immediately useful to Web developers, this book requires no previous exposure to Linked Data or Semantic Web technologies.

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be nice to be able to mark up those elements in our web pages so they could be extracted as the structured data they’re supposed to be? Fortunately, there is a way to do so, and it’s known as RDFa, for “RDF in (HTML) Attributes.” RDFa documents are simply HTML—with a bit of extra markup. An HTML page’s DOCTYPE is modified so RDFa parsers can quickly determine that the page is worth parsing, and HTML attributes are used to provide just enough information to create RDF triples when the page

. There are many RDF vocabularies, and these standardized vocabularies should be used as much as possible to facilitate inclusion and expansion of the Web of Data. This practice is consistent with thinking like the Web and reinforces Tim Berners-Lee’s four principles of Linked Data. Common choices for vocabularies were presented in chapter 2; see table 2.2 for that list. 4.3 Publishing your FOAF profile After you’ve incorporated the desired content into your FOAF profile, verify the

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      import sys Command-line arguments supplied using Python if(len(sys.argv) < 2): xls2rdf.py input.xls. inputFile = input( 'Enter ➥ "source:\\\\subdirectory\\\\inputFile.xls " \n==>' ) else: Use the Lingfo inputFile = sys.argv[1] library to obtain the Excel book = xlrd.open_workbook(inputFile) spreadsheet. sheet = book.sheet_by_index(0) # Get the first sheet rowCount = sheet.nrows Output the prefix colCount = sheet.ncols statements. print "@prefix field:

      XML namespaces xmlns:xsd="http://www.w3.org/2001/XMLSchema#" in this XHTML xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" document serve xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#"> the same purpose as PREFIXes in Turtle or SPARQL. {rdfs:label} “?this” is replaced at execution time with

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