Linked Data In Action


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An introduction to linked data (semantic web) for a Knowledge and Information Network (KIN) webinar. The presentation shows some examples of linked data in action, data visualization, difference between open and linked data and how linkd data is being used in UK gov and local gov.

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  • Data visualization created by Doug McCune - datasets available from DataSF - is a clearinghouse of datasets available from the City & County of San Francisco. Our goal in releasing this site is:(1) improve access to data (2) help our community create innovative apps (3) understand what datasets you'd like to see (4) get feedback on the quality of our datasets.
  • Bringing data alive through user interaction with the visualization app.
  • The Google Public Data Explorer makes large datasets easy to explore, visualize and communicate. As the charts and maps animate over time, the changes in the world become easier to understand. You don't have to be a data expert to navigate between different views, make your own comparisons, and share your findings.
  • Using data sourced from the Guardian Open Platform
  • Guardian open platform ( Provides access to all of the data the Guardian uses for it on-line website. Free and licensed data available through its Data Store.Follow on Twitter -
  • Whilst this list of open data principles is simple and clear, unfortunately it is not used by CKAN, which ‘powers’, very few of the datsets available through CKAN conform to their definition ie
  • Where Linked Data is now in comparison to the shape of Internet take-off
  • The release of COINS data is just the first step in the Government's commitment to data transparency on Government spending. The data is available from (opens in new window) but the following guidance explains more about the release. What is COINS? COINS - the Combined On-line Information System - is used by the Treasury to collect financial data from across the public sector to support fiscal management, the production of Parliamentary Supply Estimates and public expenditure statistics, the preparation of Whole of Government Accounts (WGA) and to meet data requirements of the Office for National Statistics (ONS).
  • Alpine Interactive. Data pulled from the COINS database – Open Data - not Linked Data
  • Linked Data In Action

    1. 1. Linked data<br />KIN Webinar 11 June 2010<br />Stephen Dale<br />Associate Consultant – IDeA<br />Director Semantix (UK) Ltd<br /><br />
    2. 2. San Francisco Crime Data<br />Visualizations created by a private individual from dataset s made available by City & County of San Francisco<br />
    3. 3.<br />
    4. 4. Google public data explorer<br /><br />
    5. 5. Data sourced from Guardian Open Platform<br />
    6. 6.
    7. 7. Open data, linked data, data visualization<br />Open Data + Visualization can surface hidden insights<br />Open + Linked Data provides opportunities for sharing these insights<br />
    8. 8. Some basics<br />Linked data and open data are often used interchangeably, but they are not the same thing. <br />Open data is non-personal data published in a digital format, e.g. HTML, CSV, Excel, Access, Word, PDF<br />Linked data is data that is structured in such a way that data sets can be combined to create something greater than the sum of its parts. Also described as ‘the semantic web’. Sir Tim Berners-Lee, the inventor of the World Wide Web, describes it as being a “web of data” the same way that the Internet is currently a “web of documents”<br />Whereas we use URLs to connect the web of documents, we use URIs to connect the web of data.<br />URI Definition at<br />
    9. 9. Open Data definition<br />A work is open if its manner of distribution satisfies the following conditions:<br />1. Complete All public data are made available. Publicdata are data that are not subject to valid privacy, security or privilege limitations. <br />2. Primary Data are collected at the source, with the finest possible level of granularity, not in aggregate or modified forms. <br />3. Timely Data are made available as quickly as necessary to preserve the value of the data. <br />4. Accessible Data are available to the widest range of users for the widest range of purposes. <br />5. Machine processable Data are reasonably structured to allow automated processing. <br />6. Non-discriminatory Data are available to anyone, with no requirement of registration. <br />7. Non-proprietary Data are available in a format over which no entity has exclusive control. <br />8. License-free Data are not subject to any copyright, patent, trademark or trade secret regulation<br />Source:<br />
    10. 10. Some definitions<br />Linked Data is about using the Web to connect related data that wasn't previously linked, or using the Web to lower the barriers to linking data currently linked using other methods. More specifically, Wikipedia defines Linked Data as "a term used to describe a recommended best practice for exposing, sharing, and connecting pieces of data, information, and knowledge on the Semantic Web using URIs and RDF."<br />Source:<br />
    11. 11. Public Data Principles <br />Public data will be published in reusable, machine readable form<br />Public data will be available and easy to find through a single easy to use online access point (<br />Public data will be published using open standards and following the recommendations of the World Wide Web Consortium (W3C)<br />Any ‘raw’ dataset will be represented in linked data form<br />More public data will be released under an open licence which enables free reuse, including commercial reuse.<br />Data underlying the Government’s own websites will be published in reusable form for others to use<br />Personal, classified, commercially sensitive and third-party data will continue to be protected.<br />Source: Smarter Government – December 2009<br />
    12. 12. Resource description framework (RDF)<br />Linked Data is published on the web for machines to read rather than humans, using the RDF2 data model. RDF breaks a statement down into three parts ( so that an RDF statement is known as a ‘triple’ ).<br /> · Subject<br />· Predicate<br />· Object<br />RDF Triple<br />Subject<br />Object<br />Predicate<br />
    13. 13. Marking up documents for rdf<br />Use the XHTML+RDFaDOCTYPE at the top of the document:<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE html PUBLIC "-//W3C//DTD XHTML+RDFa 1.0//EN" ""> <br /> <br />RDFa makes extensive use of URIs which can get a little unwieldy. RDFa supports a mechanism for shortening URIs (called Compact URIs, or CURIEs), which involves using a prefix to replace part of the URI. <html xmlns="" xmlns:argot="" xmlns:dc="" xmlns:foaf="" xmlns:v="" xmlns:dbp="">  ...</html> <br /> <br />
    14. 14. RDF Triples<br />The examples above are ‘human-readable’ but the actual RDF representation of this data is in a form that machines can interpret and inference from. Each part of a ‘triple’ is therefore represented by a ‘universal identifier’ rather than the actual text.<br />Source: LeGSB<br />
    15. 15. Results from a sparql query<br />A description of the resource identified by<br />
    16. 16. sparql<br />SPARQL (pronounced "sparkle" ) is an RDF query language; its name is a recursive acronym that stands for SPARQL Protocol and RDF Query Language. It was standardized by the RDF Data Access Working Group (DAWG) of the World Wide Web Consortium, and is considered a key semantic web technology. On 15 January 2008, SPARQL became an official W3C Recommendation.<br />Source: Wikipedia<br />
    17. 17. Reference data<br />Reference data and Ontologies are the basis for making connections between linked datasets. There are a number of well established sources of reference data that form the basis of the connections that mash-up style sites use. The latest view of these is given at<br /> <br />Typical types of reference data are: <br />DBPedia – to define terms<br />GeoNames – to define places<br />
    18. 18.<br />
    19. 19.
    20. 20. Growth of the internet<br />Source: Richard Wallis<br />
    21. 21. Maturity of linked data<br />Source: Richard Wallis<br />
    22. 22.<br />
    23. 23. Making public data public<br />
    24. 24. Open or linked?<br /><br />
    25. 25.<br />
    26. 26. More examples of Linked data in action<br />
    27. 27.<br />
    28. 28.<br />
    29. 29.<br />
    30. 30.<br />
    31. 31.<br />
    32. 32. can linked data solve problems within the enterprise?<br />
    33. 33. CONNECTING SILO’D DATA REPOSITORIES<br />MAIL<br />CORP WEBSITE <br />BUSINESS SYSTEMS<br />IINTRANET<br />Mail<br />System<br />HR, FINANCE<br />Datamarts<br />eMail<br />Intranet<br />Documents<br />Datawarehouse<br />Intranet<br />Documents<br />DMS,<br />RMS<br />Documents<br />Records<br />RDBMS<br />Legacy Data<br />ERP, CRM<br />Linked Data Cloud<br />
    34. 34. Questions for the panel (you!)<br />How could linked data be used in your organisation to create value?<br />Could linked data techniques be used to connect silo’d data across the enterprise? <br />What are the risks (e.g. provenance, reliability, accuracy)?<br />Do we all need to become statisticians to correctly interpret the data?<br />Where next for linked data (semantic web)?<br />
    35. 35. Thank you!<br /><br /><br /><br />stephendale<br /><br /><br /><br /><br /><br /><br /><br />