Methodological Guidelines for Publishing Linked Data

Transcription

1 Methodological Guidelines for Publishing Linked Data Boris Slides available at: Acknowledgements: OEG

2 Main References Wood, David (Ed) Linking Government Data ! Methodological Guidelines for Publishing Government Linked Data! Boris Villazón-Terrazas, Luis M. Vilches, Oscar Corcho, Asunción Gómez-Pérez! Best Practices for Publishing Linked Data! W3C Editor s Draft Government Linked Data Working Group! Bernadette Hyland, Boris Villazón-Terrazas, Ghislain Atemezing! Cookbook for Open Government Linked Data! W3C Editor s Draft Government Linked Data Working Group! Bernadette Hyland, Boris Villazón-Terrazas! 2 2

3 ToC» Introduction» Guidelines for Publishing Linked Data» Uses Cases 3

4 Publishing Linked Data? Process that involves a high number of steps, design decisions and technologies. 4

5 Iterative and Incremental Linked Data Life Cycle 5

6 Iterative and Incremental Linked Data Life Cycle 6

7 Specification Identification and analysis of the data sources URI design Definition of the license 7

8 Specification Identification and analysis of the data sources After we have identified and selected the government data sources Search and compile all the available data and documentation about those resources Identify the schema of those resources including conceptual components and their relationships Identify the items in the domain, i.e., things whose properties and relations are described in the data sources 8

9 Specification URI Design Use meaningful URIs, instead of opaque URIs, when possible Separate TBox (ontology model) from ABox (instances) URIs. - Base URI TBox URIs property} - ABox URIs 9

10 Iterative and Incremental Linked Data Life Cycle 10

11 Modelling Reuse available vocabularies Search for suitable vocabularies Linked Open Vocabularies are there suitable vocabularies? Yes Build the vocabulary by reusing available vocabularies No 11

12 Modelling Reuse available non-ontological resources Highly reliable Web Sites Search for suitable non-ontological resources Domain-related sites Government Catalogs are there suitable resources? Yes Build the vocabulary by transforming available resources * No Build the vocabulary from scratch Boris Villazón-Terrazas, A Method for Reusing and Re-Engineering Non-Ontological Resources for Building Ontologies. IOS Press

13 Iterative and Incremental Linked Data Life Cycle 13

14 Generation Transformation Data cleansing / curation Linking 14

15 Generation Transformation Take the data sources selected in the specification activity and transform them to RDF according to the vocabulary created in the modelling activity Some tools - CSV and spreadsheets - RDB - XML RDF extension of Google Refine, XLWrap, RDF123, NOR 2 O D2R Server, ODEMapster, W3C RDB2RDF WG R2RML GRDDL, ReDeFer 15

16 Generation Transformation RDB2RDF A majority of dynamic Web content is backed by relational databases (RDB), and so are many enterprise systems. transformation description transformation engine W3C RDB2RDF Working Group R2RML: RDB to RDF Mapping Language - Direct Mapping - R2RML and Direct Mapping Test Cases - RDB2RDF Implementation Report

17 Industry Production Index Year Generation Transformation Spreadsheets to RDF Province NOR 2 O 17 17

18 Generation Transformation Geospatial to RDF Tool for generating RDF from geospatial information The geometry could be available in GML or WKT 18

19 A MARC Mappings and RDF generator Mapping templates Generation Transformation MARC21 to RDF Classification MARiMbA MARiMbA Annotation Relationships Domain experts 19 19

20 Generation Linking Look for similar datasets in Identify suitable data sets as linking targets Look for our resources in tools like sig.ma Discover relationships between data items LIMES Silk Framework Validate the relationships discovered 20

21 Iterative and Incremental Linked Data Life Cycle 21

22 Publication Dataset publication Metadata publication Dataset discovery 22

23 Publication Dataset publication Tools for storing RDF/SPARQL endpoint/linked Data frontend - Virtuoso Universal Server, Jena, Sesame, 4Store, YARS, OWLIM, Talis Platform, Fuseki, Pubby, Linked Data API Store the RDF data in different graphs

24 VoID allows to express metadata about RDF datasets Publication Metadata Publication The PROV Ontology

25 Publication Dataset discovery Register the dataset into CKAN Registry, thedatahub.org Generate sitemap files for your dataset, by using sitemap4rdf Submit the sitemap location to Google and Sindice

26 Publication Dataset discovery - Example

27 Iterative and Incremental Linked Data Life Cycle 27

28 Exploitation Streaming resources 28

29 Exploitation Faceted browser interface. Geospatial visualization using Google Maps and Open Street Maps. Visualization of geometries (LineStrings, Polygons, etc) when using the GeoLinkedData data model. Visualization of statistical data using SCOVO / RDF Data Cube. map4rdf SPARQL Triplestore 29

30 ToC» Introduction» Guidelines for Publishing Linked Data» Uses Cases 30

31 1. Specification 2. Modelling 3. Generation 4. Publication & Exploitation 31

32 1. Specification 2. Modelling 250 weather stations (pressure, humidity, etc) Data from the stations in CSV files in a FTP server 3. Generation 4. Publication & Exploitation Python scritps 32

33 Specification 2. Modelling MARC 21 XML records 3. Generation 4. Publication Mapping & templates Exploitation MARi MbA Classificati on Annotation MARi MbA Relationshi ps Domain experts 33

34 1. Specification 2. Modelling Scenario in the context of tourism and travelling, where the content is aggregated from different platforms. Heterogeneous content (images, travel guides, posts, videos, news) 3. Generation 4. Publication & Exploitation 34

35 35

36 Methodological Guidelines for Publishing Linked Data Boris Slides available at: Acknowledgements: OEG