Linked Data Tutorial

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Linked Data Tutorial presented for the open data community on February 16., 2012, Prague.

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  • Domain-specific applications using Linked Data from the Web
  • Publishing Linked DataRDF data model, ontologies, important vocabularies
  • Publishing Linked DataRDF data model, ontologies, important vocabularies
  • As a result:No or restricted reusability of the refined dataNo single model, no global identifiers, general mechanism for linkingStill reinventing the wheel when looking for couple of information distributed among the data sources!
  • Web-scale data publishing with web-based discovery mechanismsLOD2Develops tools (stack of tools) to work with Linked Data
  • Linked Data Tutorial

    1. 1. February 16, 2012Linked Data Tutorial*Tomáš Knap, Jindřich Mynarz, Martin Nečaský, Jakub StárkaFaculty of Mathematics and PhysicsCharles University in Prague(*Partially based on slides of Chris Bizer [8])
    2. 2. Motivation 16th February 2012 | Linked Data Tutorial 2
    3. 3. Motivational Scenario Basic Public Employees Departments Budget Expenses data contracts WWW Business Buyer‘s page of the ÚFIS ISVZUS gov.cz Register Profile institutionData Consumer: Show me suppliers of the publiccontracts for the Ministry of Finance (MF) in the regionLiberec. Show me the data on the Google maps iniPhone. For every public contract, I am also looking forthe aggregation of all the payments made by MF, linkto their budget and responsible person.• Where can I get the data about public contracts, responsible persons, expenses, and budget of MF?• How should I aggregate and link the data?• How can16th February 2012 | data Data the map? I observe the Linked on Tutorial 3
    4. 4. Current Common Practise Basic Public Employees Departments Budget Expenses data contracts WWW Business Buyer‘spage of the ÚFIS ISVZUS gov.cz Register Profileinstitution 3 - Expenses ? 2 – MF public 1 – MF public contracts + contracts employees ? Consumer did not discovered ? Information Integration very time consuming, boring, and ineffective! 16th February 2012 | Linked Data Tutorial 4
    5. 5. Linked Data - Basics 16th February 2012 | Linked Data Tutorial 5
    6. 6. Linked Data• Set of best practices for publishing structured data on the Web in accordance with the general architecture of the Web  using Semantic Web technologies and standards  Semantic Web is the goal, Linked Data provides the means to reach the goal 16th February 2012 | Linked Data Tutorial 6
    7. 7. Linked Data Principles1. Use URIs as names for things2. Use HTTP URIs so that people can look up those names.3. When someone looks up a URI, provide useful RDF information4. Include RDF statements that link to other URIs so that they can discover related things.[Tim Berners-Lee, http://www.w3.org/DesignIssues/LinkedData.html, 2006] 16th February 2012 | Linked Data Tutorial 7
    8. 8. Architecture of the Classic Web  Single global information space  Small set of simple standards: ‒ HTTP URI • globally unique ID • retrieval mechanism ‒ HTML as document format ‒ Hyperlinks to connect everything  Applications work on top of the complete information space 16th February 2012 | Linked Data Tutorial 8
    9. 9. Web 2.0 APIs and Mashups  No single global dataspace  Shortcomings: ‒ API have proprietary interfaces ‒ No hyperlinks between data items within different APIs ‒ Mashups are based on a fixed set of data sourcesWeb APIs slice the Web into Walled Gardens! 16th February 2012 | Linked Data Tutorial 9
    10. 10. Linked Data• Extend the Web with a single global dataspace  By using RDF to publish structured data on the Web  By setting links between data items within different data sources.  Physically distributed, behaves like single dataspace 16th February 2012 | Linked Data Tutorial 10
    11. 11. RDF Data Model• Flexible graph-based data model [2]• HTTP URIs take the role of global primary keys.  pd:cygri = http://richard.cyganiak.de/foaf.rdf#cygri  dbpedia:Berlin = http://dbpedia.org/resource/Berlin 16th February 2012 | Linked Data Tutorial 11
    12. 12. Resolving URIs over the Web• The HTTP protocol brings together identification and retrieval 16th February 2012 | Linked Data Tutorial 12
    13. 13. Following Links deeper into the Web 16th February 2012 | Linked Data Tutorial 13
    14. 14. Pubby – Linked Data Browser http://dbpedia.org/page/Český_Krumlov 16th February 2012 | Linked Data Tutorial 14
    15. 15. Properties of the Web of Linked Data• Global, distributed data space build on a simple set of standards  RDF, URIs, HTTP• Entities are connected by links  creating a global data graph that spans data sources  enables the discovery of new data sources• Data-coexistence  Everyone can publish data to the Web of Linked Data  Everyone can express their personal view on things 16th February 2012 | Linked Data Tutorial 15
    16. 16. Linked Data Deployment on the Web.. Is it real? 16th February 2012 | Linked Data Tutorial 16
    17. 17. W3C Linking Open Data Project• Grassroots community effort to  Publish existing open license datasets as Linked Data on the Web  Interlink things between different data sources 16th February 2012 | Linked Data Tutorial 17
    18. 18. Linked Data Cloud 2007 16th February 2012 | Linked Data Tutorial 18
    19. 19. Linked Data Cloud 2009 16th February 2012 | Linked Data Tutorial 19
    20. 20. Linked Data Cloud 2011 http://richard.cyganiak.de/2007/10/lod/lod-datasets_2011-09-19_colored.pdf http://thedatahub.org/ 16th February 2012 | Linked Data Tutorial 20
    21. 21. More Statistics http://stats.lod2.eu/stats 16th February 2012 | Linked Data Tutorial 21
    22. 22. Uptake in Governmental Domain• The EU is publishing LinkedData  EuroStat ‒ http://estatwrap.ontologycentral.com/• National efforts  The Government is releasing public data ‒ http://data.gov.uk/ ‒ Lots of initiatives in Great Britain  Budget in Germany ‒ http://bund.offenerhaushalt.de/  Open Data in Catalonia ‒ http://opendata.gencat.cat/en/dades-obertes.html 16th February 2012 | Linked Data Tutorial 22
    23. 23. Data.gov.uk http://data.gov.uk/organogram/cabinet-office 16th February 2012 | Linked Data Tutorial 23
    24. 24. Linked Data Applications Linked Data Browsers ? ? ?? 16th February 2012 | Linked Data Tutorial 24
    25. 25. Search Engines - Sig.ma http://sig.ma 16th February 2012 | Linked Data Tutorial 25
    26. 26. Mashups – Public Contracts On the Map http://gd.projekty.ms.mff.cuni.cz:2021/new/map.html 16th February 2012 | Linked Data Tutorial 26
    27. 27. Mashups – Crime, Transport, Education http://apps.seme4.com/see-uk/ 16th February 2012 | Linked Data Tutorial 27
    28. 28. Other Applications• Browsers:  Disco Hyperdata Browser ‒ http://www4.wiwiss.fu-berlin.de/rdf_browser/  OpenLink RDF Browser ‒ http://ode.openlinksw.com/• Search Engines  Falcons ‒ http://ws.nju.edu.cn/falcons/  Watson ‒ http://watson.kmi.open.ac.uk/WatsonWUI/• Mashups 16th February 2012 | Linked Data Tutorial 28
    29. 29. Linked Data Applications - Summary Linked Data Browsers Search Engines Linked Data Mashups 16th February 2012 | Linked Data Tutorial 29
    30. 30. Publishing Linked Data 16th February 2012 | Linked Data Tutorial 30
    31. 31. Publishing Tasks – Bizer 38• 1. Make data available as RDF via HTTP  Requires ways to serialize RDF data model• 2. Set RDF links pointing at other data sources• 3. Make your data self-descriptive 16th February 2012 | Linked Data Tutorial 31
    32. 32. RDF/XML• W3C Recommendation, 2004 [2] 16th February 2012 | Linked Data Tutorial 32
    33. 33. Turtle Syntax@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .@prefix dataModel: <http://www.w3.org/2000/10/swap/pim/contact#> .@prefix myContact: <http://www.w3.org/People/EM/contact#> .myContact:me rdf:type dataModel:Person ; dataModel:fullName "Eric Miller". dataModel:mailbox <mailto:em@w3.org>. dataModel:personalTitle "Dr.".• W3C Team Submission, 2011, [4] 16th February 2012 | Linked Data Tutorial 33
    34. 34. RDFa• A way to directly add RDF to XHTML pages  Provides new attributes to handle additional markup• W3C Recommendation, 2008 [5]• HTML is not extendable • most RDFa parsers will recognize RDFa attributes in any version of HTML 16th February 2012 | Linked Data Tutorial 34
    35. 35. RDFa• Provides new attributes to handle additional markup, reuses existing  About, resource, …  Href, src, …• Used with any supported element, prefered:  Span, div (in the body)  a (linking element)  Meta, link (in the header) 16th February 2012 | Linked Data Tutorial 35
    36. 36. RDFa Example• XHTML page http://example.com/alice/posts/42• Original XHTML codeAll content on this site is licensed under <ahref="http://cc.org/licenses/by/3.0/"> a Creative Commons License </a>.• XHTML + RDFaAll content on this site is licensed under <a rel=“cc:license"href="http://cc.org/licenses/by/3.0/"> a Creative Commons License </a>.• RDF triples destilled from XHTML+RDFa<http://example.com/alice/posts/42> cc:license<http://cc.org/licenses/by/3.0/>. 16th February 2012 | Linked Data Tutorial 36
    37. 37. RDF store + Linked Data Interface• Virtuoso + pubby 16th February 2012 | Linked Data Tutorial 37
    38. 38. D2R server• A way how to publish data in relational databases as Linked Data• Requests from the Web are rewritten into SQL queries via the mapping.  on-the-fly translation  eliminates the need for replicating the data into a dedicated RDF triple store. 16th February 2012 | Linked Data Tutorial 38
    39. 39. Publishing Tasks1. Make data available as RDF via HTTP2. Set RDF links pointing at other data sources3. Make your data self-descriptive 16th February 2012 | Linked Data Tutorial 39
    40. 40. 2. Set RDF links<http://dbpedia.org/resource/Berlin>owl:sameAs<http://sws.geonames.org/2950159> .• There are tools to help you generate links  Silk [6] 16th February 2012 | Linked Data Tutorial 40
    41. 41. Publishing Tasks1. Make data available as RDF via HTTP2. Set RDF links pointing at other data sources3. Make your data self-descriptive 16th February 2012 | Linked Data Tutorial 41
    42. 42. 3. Make your data self-descriptive• Increase the usefulness of your data and ease data integration• Aspects of self-descriptiveness  1. Reuse terms from common vocabularies  2. Enable clients to retrieve the schema  3. Publish schema mappings for proprietary terms  4. Metadata ‒ Provide provenance metadata ‒ Provide licensing metadata ‒ Provide data-set-level metadata using voiD 16th February 2012 | Linked Data Tutorial 42
    43. 43. About Vocabularies• We have to be able to define the meaning of the subject, properties  Vocabularies, e.g. Public contracts ontology 16th February 2012 | Linked Data Tutorial 43
    44. 44. Public Contracts Ontology http://purl.org/procurement/public-contracts# 16th February 2012 | Linked Data Tutorial 44
    45. 45. RDFS• RDFS = RDF Schema  W3C recommendation ‒ http://www.w3.org/TR/rdf-schema/  Vocabulary for RDF ‒ Definition of classes • is:Student rdf:type rdfs:Class ‒ Definition of properties • is:name rdf:type rdfs:Property ‒ Domains and ranges of properties • is:name rdfs:domain is:Student • is:name rdfs:range xsd:string 16th February 2012 | Linked Data Tutorial 45
    46. 46. OWL• OWL = Web Ontology Language  W3C recommendation ‒ http://www.w3.org/TR/owl2-overview/  Ontologies ‒ More complex constructs • Class or property equivalences • Cardinality restrictions • … 16th February 2012 | Linked Data Tutorial 46
    47. 47. 3. Make your data self-descriptive• Increase the usefulness of your data and ease data integration• Aspects of self-descriptiveness  1. Reuse terms from common vocabularies  2. Enable clients to retrieve the schema  3. Publish schema mappings for proprietary terms  4. Metadata ‒ Provide provenance metadata ‒ Provide licensing metadata ‒ Provide data-set-level metadata using voiD 16th February 2012 | Linked Data Tutorial 47
    48. 48. 3.1 Reuse Terms from Commonvocabularies• Common Vocabularies  Friend-of-a-Friend for describing people and their social network  SIOC for describing forums and blogs  SKOS for representing topic taxonomies  Organization Ontology for describing the structure of organizations  GoodRelations provides terms for describing products and business entities  Music Ontology for describing artists, albums, and performances  Review Vocabulary provides terms for representing reviews• Common sources of identifiers (URIs) for real world objects  LinkedGeoData and Geonames locations  GeneID and UniProt life science identifiers  DBpedia wide range of things 16th February 2012 | Linked Data Tutorial 48
    49. 49. 3.2 Enable Clients to retrieve the Schema• Clients can resolve the URIs that identify vocabulary terms in order to get their RDFS or OWL definitions.• If we discover in data URI: <http://opendata.cz/data/p6/contract/ocz_art_5161> http://purl.org/procurement/public-contracts#awardDate "2011-11-11"^^<http://www.w3.org/2001/XMLSchema#date> ;• We resolve the URI and get the definition: RDFS or OWL definition 16th February 2012 | Linked Data Tutorial 49
    50. 50. 3.3 Publish Schema Mappingspc:Tender a owl:Class ; rdfs:subClassOf gr:Offering .pc:AwardCriterion a owl:Class ; owl:equivalentClass loted:AwardCriteria.• Simple Mappings:  rdfs:subClassOf, rdfs:subPropertyOf  owl:equivalentClass, owl:equivalentProperty• Complex mappings – R2R [7] 16th February 2012 | Linked Data Tutorial 50
    51. 51. 3.4 Metadata• Licenses• Data Provenance• Dataset description 16th February 2012 | Linked Data Tutorial 51
    52. 52. Consuming Linked Data 16th February 2012 | Linked Data Tutorial 52
    53. 53. Overview• URI -> Description  Pubby• Keyword -> Description  Sig.ma• SPARQL query language [8]  SQL for RDF databases 16th February 2012 | Linked Data Tutorial 53
    54. 54. SPARQL Example• Contracts of the given supplier 16th February 2012 | Linked Data Tutorial 54
    55. 55. SPARQL Example - Result 16th February 2012 | Linked Data Tutorial 55
    56. 56. Issues of the Simple Consuming Scenarios• How to aggregate the data if the links are missing, the data models (ontologies) differs?• How to deal with data quality?  Everybody can say whatever he wants!• Solution: We are developing an infrastructure for cleaning, linking, and aggregating Linked Data  Reusing existing technologies, such as Silk 16th February 2012 | Linked Data Tutorial 56
    57. 57. ODCleanStore• Cleaning the data • Smart data consuming  Custom cleaners  Data aggregation (due to• Linking the data links, ontology mappings)  Silk  Conflict resolution• Graphical user interface  Data provenance 16th February 2012 | Linked Data Tutorial 57
    58. 58. Motivational Scenario - Recall Basic Public Employees Departments Budget Expenses data contracts WWW Business Buyer‘s page of the ÚFIS ISVZUS gov.cz Register Profile institutionData Consumer: Show me suppliers of the publiccontracts for the Ministry of Finance (MF) in theregion Liberec. Show the data on the Google mapsin iPhone. For every public contract, I am lookingfor the aggregation of all the payments made byMF, link to their budget and responsible person.• Where can I get the data about public contracts, responsible persons, expenses, and budget of MF?• How should I aggregate and link the data?• How can I observer the data on the map? 16th February 2012 | Linked Data Tutorial 58
    59. 59. Goal Basic Public Employees Departments Budget Expenses data contracts WWW Business Buyer‘spage of the ÚFIS ISVZUS gov.cz Register Profileinstitution ODCleanStore 16th February 2012 | Linked Data Tutorial 59
    60. 60. Conclusions 16th February 2012 | Linked Data Tutorial 60
    61. 61. Linked Data vs. Open Data Open data are raw data, which are freely available on the Web to: • Everyone • Anytime • For whatever purpose• Open data – 3 stars!  4th star: Single and flexible model (RDF) is missing  5th star: Links 16th February 2012 | Linked Data Tutorial 61
    62. 62. Conclusions and Take Away MessageThe Power Of Linked Data (5 star data)• Web-scale data publishing with web-based discovery mechanisms• Distributed annotation – make comments about observations, data series, points on the map• Easy to reuse  Huge potential when connecting to the cloud, linking the data, the benefits are growing as the amount of data published as Linked Data is increasing• Integration on data level• Easy to extend (new data properties as required, no need to be planned up-front)• Easy to merge – no name clashes! 16th February 2012 | Linked Data Tutorial 62
    63. 63. Future Steps• If you managed to get interesting data, try to publish them as Linked Data!  We can help you with the whole lifecycle – creating, publishing, maintenance of the data  Just create RDF data, we will publish it for you  Just let us know (send us the data), we can publish it  Publish data in the same way, but use global identifiers according to LD principles• When the infrastructure (ODCleanStore) is ready, you can just send us the RDF data using web service and we will do all the other stuffs – clean, link, and provide aggregated views. 16th February 2012 | Linked Data Tutorial 63
    64. 64. Thank You!16th February 2012 | Linked Data Tutorial 64
    65. 65. References• Textbook: Tom Heath, Christian Bizer: Linked Data: Evolving the Web into a Global Data Space. http://linkeddatabook.com/• [2] http://www.w3.org/TR/rdf-primer/• [3] http://www.w3.org/TR/REC-rdf-syntax/• [4] http://www.w3.org/TeamSubmission/turtle/• [5] http://www.w3.org/TR/rdfa-syntax/• [6] http://www4.wiwiss.fu-berlin.de/bizer/silk/• [7] http://www.w3.org/TR/rdf-sparql-query/• [8] http://static.lod2.eu/isslod/Bizer-LOD2- IndianSummerSchool.pdf 16th February 2012 | Linked Data Tutorial 65

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