Linked Data Applications: examples

Transcription

1 Linked Data Applications: examples Asunción Gómez-Pérez Facultad de Informática, Universidad Politécnica de Madrid Campus de Montegancedo sn, Boadilla del Monte, Madrid Acknowledgements: O.Corcho, D. Garijo, D. Vila, L.Vilches, B. Villazón Work distributed under the license Creative Commons Attribution-Noncommercial-Share Alike 3.0 Día W3C en España. 12 de Enero de 2012

2 Table of content 1. The concept 2. Foundations 3. The process 4. Examples Libraries: Geo: Metereology: Travelling: 2

3 Complex queries using data from heterogeneous Web pages Cervantes enthusiast from Germany visiting Madrid and willing to know more about Cervantes work and life *Picture attribution: 3

4 BD BNE BD VIAF BD AEMET BD IGN BD Prisa BD DBpedia Data Integration BNE Ubicado en Alcalá de Henares 1605 El Quijote Año de Publicación Autor birthplace Same as M. Cervantes M. Cervantes Alcalá de Henares M. Cervantes Year of publication creator Don Quixote 1960 Translated into Hebrew VIAF located Alcalá de Henares guía Tapas Siglo de Oro Alcalá de Henares Temperatura 20º 4

5 Linked Data Data & Knowledge Visualization Linking RDF

6 Table of content 1. The concept 2. Foundations 3. The process 4. Examples Libraries: Geo: Metereology: Travelling: 6

7 Linked Data: why it is important? Facilitate data integration From heterogeous sources In different formats Different granularity In different languages From different countries Slide adapted from 5min Introduction to Linked Data - Olaf Hartig

8 RDF(S) models Unique identifiers: URI identify or name a resource Foundations Equivalence links to other datasets Same As Data navigation Person Is creator of Cer Work Is a Is a Cervantes Is creator of Cer El Quijote Same As Same As Cervantes Cervantes

9 Aligning Models with Owl EquivalentClass Person Foundations EquivalentClass Person birthplace Person Municipality EquivalentClass Municipio Is a Is a Alcalá de Henares Same As Alcalá de Henares de Henares Lessons learnt 1. Reuse existing models 2. Align the data and the concepts.

10 El modelo (Ontología) y los datos (2 datasets) Lengua Año translation Publication date Obra Is creator of Person birthplace Lugar Ontology Ubicado en Biblioteca Has subject Catalán 1960 translation Publication date El Quijote Is creator of Cervantes birthplace Alcalá de Henares Located in Has subject Vida de Cervantes Data BNE 10

11 El modelo (Ontología) y los datos (2 datasets) Language Ontology translation work Is creator of Person Año Publication date birthplace Located in Has subject Biblioteca Catalán translation de Henares 1960 Publication date Don Quijote de la Mancha Es autor Cervantes Saavedra, Miguel de birthplace Has subject BNE Located in Vida de Miguel de Cervantes Saavedra Data 11

12 Table of content 1. The concept 2. Foundations 3. The process 4. Examples Specification Modelling RDF Links Publication Exploitation 12

13 The Ontology: based on IFLA vocabularies Specification Modelling RDF Links Publication Exploitation

14 Marimba uses the ontology to generate RDF Specification Modelling RDF Links Publication Exploitation BNE

15 Marimba links with other resources: VIAF, DNB, SUDOC, LIBRIS, DBpedia Specification DNB Modelling VIAF RDF Same As Same As Links Same As DBpedia Publication Same As BNE Exploitation Same As SUDOC LIBRIS

16 Marimba links with other resources: VIAF, DNB, SUDOC, LIBRIS, DBpedia Specification Modelling RDF Links Publication Exploitation

17 Publicación Specification Modelling RDF Links Publication Exploitation Data publication Metadata publicacion using VOID To facilitate the discovery Register in CKAN your dataset Use to sitemap4rdf to generate the site map Upload the site map to Google and Sindice

18 Exploitation Especification Specification Web Interface Modelling RDF generation Links Publication Exploitation Publication Exploitation SPARQL queries select distinct COUNT(?Obras) where { URI Cervantes Is author < }

19 Specification Uniform access to the Spanish Geographical Institute Databases RDF 7 geographical DB Granularity Scale Multilingual Geometry2RDF Geometry column NOR 2 O Model haslat/long W3C Vocabulary WGS84 4 haslat/long hasstatisticaldata O. Statistics SCOVO hydrontology haslocation/islocated FAO on UNESCO EGM / ERM GeoNames 4 hasgeometry GML hasgeometry FAO Geopolitical ontology O. Time W3C Time Legend 4 GML Specification Ontology Specification 4 Thesaurus

20 Phase BNE IGN AEMET PRISA INE Modeling DC hydrontology Wgs84 time SSN ontology SIOC Scovo Data cube RDF generation MARiMbA geometry2rdf NOR2O CSV parser CSV parser NOR2O Links generation DNB VIAF LIBRIS DBPEDIA Silk Silk Silk DBPEDIA DBPEDIA Geolinkeddata.es Geonames Geolinkeddata.es NOR2O Geolinkeddata.es Publication Pubby sitemap4rdf Exploitation map4rdf SPARQL 20

21 Table of content 1. The concept 2. Foundations 3. The process 4. Examples Libraries: Geo: Metereology: Travelling: 21

22 Results Total number of authority records: Total number of bibliographic records: Total number of RDF triples: Links (15% authority): Linked sources: VIAF SUDOC (Sistema Universitario de Documentación) FR GND (Auth German National Library) GER LIBRIS Sweden DBPedia Total number of guides: Total number of posts: Total number of locations: Total number of RDF triples: Linked sources: DBPedia (6024 links) GeoLinkedData (6726 links) Number of geo type phenomenon: 95 (Rivers, mountains, etc.) Number of geo entities: Total number of RDF triples: Links: 1002 (outlinks) y 6782 (coming) Linked sources: DBpedia y GeoNames (outlinks) AEMET y El Viajero (entry) 22

23 URI Follow existing design guidelines for new URIs Reuse existing URIs from authoritative sources Models Reuse existing models when available Create new models from authoritative sources Do not forget to align your model with existing models Link Vertical domains usually require specific tools for generation Generic link discovery tools performs well in vertical domains Link to other data sets using Discovery Equivalence links (sameas) Typed links bne:cervantes Person Use sitemap4rdf to allow search engines to find your data Use an iterative-incremental life cycle in your development Lessons learnt Learn about Linked Data with UPM official courses in one week sameas birthplace Dbpedia:cervantes Municipality 23

24 Linked Data Applications: examples Asunción Gómez-Pérez Facultad de Informática, Universidad Politécnica de Madrid Campus de Montegancedo sn, Boadilla del Monte, Madrid Acknowledgements: O.Corcho, D. Garijo, D. Vila, L.Vilches, B. Villazón Work distributed under the license Creative Commons Attribution-Noncommercial-Share Alike 3.0 Día W3C en España. 12 de Enero de 2012