SlideShare a Scribd company logo
The agINFRA Linked Data layer
Valeria Pesce
Global Forum on Agricultural Research (GFAR)
Giovanni L’Abate
Consiglio per la Ricerca e la sperimentazione in Agricoltura
Centro di ricerca per l’agrobiologia e la pedologia (CRA-ABP)
Luca Matteis
Koraljka Golub
Research Data Alliance 4th Plenary Meeting
22-24 September 2014, Amsterdam
Agricultural Data Interoperability Interest Group
agINFRA project
EC 7th framework program INFRA-2011-1.2.2 - Grant agr. no: 283770
agINFRA - Background
• agINFRA: FP7 project
EC 7th framework program INFRA-2011-1.2.2 - Grant agr. no: 283770
Objective: Promoting data sharing and development
of trust in agricultural sciences
• agINFRA Knowledge Fair co-located with the
Agricultural Data Interoperability Interest group
meeting at the RDA 4th Plenary Meeting
• Types of data covered by agINFRA:
bibliographic, educational, germplasm, soil
Interoperability 1
They are often both called vocabularies
Metadata elements
to describe individual “things” (entities, datums, series…)
Aka metadata sets, metadata element sets, vocabularies
Sets of values
for (some of) the metadata elements
Aka controlled vocabularies, authority data, value
vocabularies, Knowledge Organization Systems (KOSs)
Various flavors of vocabularies
Title
Author(s)
Abstract
Subject(s)
Publication date
Publication place
Type of document
other features…
Entity to be describedType?
Bibliographic
resource
for describing
bibliographic
resources
Metadata
vocabulary
Authority data
KOS
“Value vocabularies”
Data of type Person
Authority data
Data of type
Geographic location
“Description
vocabularies”
Controlled list
Concepts suitable for
organizing by Topic
Concepts suitable for
organizing by Type
for describing
people
Metadata
vocabularyfor describing
geographic places
Ontology
Names of
things
URIs of
things
Links to
other URIs
Metadata vocabularies RDFs / OWL
KOS SKOS
Names of
metadata
elements
URIs of
classes and
properties
Links to
other URIs
Serialization into RDF
Interoperability 2: RDF and Linked Data
http://purl.org/dc/elements/1.1/contributorhttp://purl.org/ontology/bibo/editor“Editor”
rdfs:subPropertyOf
http://aims.fao.org/aos/agrovoc/c_6599 http://id.loc.gov/authorities/sh85113862#concept“Rice”
skos:exactMatch
Names of metadata elements URIs of classes and properties
Databases /
tables / series
Names of things URIs of things Links to other URIs
http://vocabularies.aginfra.eu/soil#isObservedOnLocation
• Then, other complex things like
“URI de-referencing” and “content negotiation”…
(some good triple store platforms do it out of the box)
Interoperability 2: RDF and Linked Data
http://purl.org/ontology/bibo/editor“Editor”
https://aginfra-
sg.ct.infn.it/rdf/cncp/resource/ObservedSoilSite/
16.4CLcch1-1
http://vocabularies.aginfra.eu/soil#Obs
ervedSoilProfile
“Observed soil
16.4CLcch1”
rdfs:type
Serialization into RDF
“Observed in location”
Tools used in agINFRA
• For building and managing SKOS:
the FAO VocBench
• For publishing KOSs as Linked Data:
SKOS loaded into Allegrograph
• For building and publishing RDF vocabularies:
Neologism
• For publishing data as Linked Data:
D2RQ from database to RDF
> mapping to published classes and properties
Links are provided in the last slide
Linked Data in agINFRA
• Linked Data Vocabularies
– Reference to existing relevant RDF vocabularies and SKOS
– New RDF vocabularies only when not existing (e.g. soil
ontology)
– New KOS only when:
• Not existing
• Mapping needed between local concepts and published concepts
• Extension needed
• Linked Data datasets
– Bibliographic data: AGRIS triple store
– Germplasm data:
• CAAS Linked Data API (presented later)
• CRA triple store (presented later)
– Soil data: CRA triple store (presented later)
agINFRA LOD vocabularies
9
Vocabularies.
aginfra.eu
agINFRA
VocBench
agINFRA
Neologism
http://202.73.13.50:55481/aginfra/
VEST Registry
http://vocabularies.aginfra.eu
http://vocabularies.aginfra.eu
CIARD RING
Existing
vocabularies
KOSs
Metadata / ontologies
New agINFRA
vocabularies
http://aims.fao.org/vest-registry
http://ring.ciard.net
TOOLS agINFRA shop CIARD directories
http://202.45.139.84:100
35/catalogs/fao/repositori
es/agINFRA
Triple
store
URLs of agINFRA Linked Data
vocabulary platforms
• agINFRA overview of vocabularies:
http://vocabularies.aginfra.eu
• New agINFRA Soil Vocabulary:
http://vocabularies.aginfra.eu/soil#
• VocBench instances:
http://202.73.13.50:55481/aginfra/
http://artemide.art.uniroma2.it/vocbench2
• Allegrograph triple store of agINFRA KOSs:
http://202.45.139.84:10035/catalogs/fao/repositories/ag
INFRA
Namespaces of agINFRA new
vocabularies
• agINFRA Soil vocabulary:
http://vocabularies.aginfra.eu/soil#
• CRA Soil Terms:
http://data.entecra.it/rdf/kos/soil/ or
http://soilmaps.entecra.it/rdf/kos/soil/
• CRA Germplasm Terms:
http://data.entecra.it/rdf/germplasm/soil/ or
http://planta-res.entecra.it/rdf/kos/germplasm/
• agINFRA Resource Types Terms:
http://aginfra.eu/voc/aginfra_doctypes/
• agINFRA Educational Resources Terms:
http://aginfra.eu/voc/aginfra_eduterms/
Example 1: the Soil Terms KOS
Rationale:
• CRA had local lists of values for several soil
properties
• In most cases those values mapped
conceptually with terms in published KOSs
 Local values published as new KOS with
mappings to USDA Soil Taxonomy terms and/or
WRB whenever possible
Soil Terms: starting from a database table  Excel file
Table loaded into the VocBench as SKOS
Example 2: Resource types in AGRIS
Starting from a table
Concept Type of Concept Relationship among concepts
Bibliography Top broadMatch http://purl.org/dc/dcmitype/Text
Book Top NT Handbook/Manual broadMatch http://purl.org/dc/dcmitype/Text
Conference BT Event broadMatch http://purl.org/dc/dcmitype/Event
Dictionary Top broadMatch http://purl.org/dc/dcmitype/Text
Directory Top relatedTerm http://purl.org/dc/dcmitype/Collection
Drawing BT Image broadMatch http://purl.org/dc/dcmitype/Image
Encyclopaedia Top broadMatch http://purl.org/dc/dcmitype/Text
Event Top NT Conference exactMatch http://purl.org/dc/dcmitype/Event
Extension Top
Film Top broadMatch http://purl.org/dc/dcmitype/MovingImage
Graphics BT Image broadMatch http://purl.org/dc/dcmitype/Image
Handbook/Manual BT Book broadMatch http://purl.org/dc/dcmitype/Text
Image Top NT Drawing, NT Graphics, NT MapsorAtlases exactMatch http://purl.org/dc/dcmitype/Image
JournalArticle Top NT Preprint broadMatch http://purl.org/dc/dcmitype/Text
Lit.Review Top broadMatch http://purl.org/dc/dcmitype/Text
Manuscript Top broadMatch http://purl.org/dc/dcmitype/Text
MapsorAtlases BT Image broadMatch http://purl.org/dc/dcmitype/Image
News Top
Non-Conventional Top
NumericalData Top broadMatch http://purl.org/dc/dcmitype/Dataset
Other Top
Patent Top broadMatch http://purl.org/dc/dcmitype/Text
Preprint BT JournalArticle broadMatch http://purl.org/dc/dcmitype/Text
Report Top broadMatch http://purl.org/dc/dcmitype/Text
Sound/Music Top broadMatch http://purl.org/dc/dcmitype/Sound
Speech Top broadMatch http://purl.org/dc/dcmitype/Sound
Standard Top broadMatch http://purl.org/dc/dcmitype/Text
Summary Top broadMatch http://purl.org/dc/dcmitype/Text
Thesaurus Top broadMatch http://purl.org/dc/dcmitype/Text
Thesis Top broadMatch http://purl.org/dc/dcmitype/Text
Website Top
External mapping
AGRIS resource types in the VocBench
http://aginfra.eu/voc/aginfra_doctypes/
Example 3: the Soil VocabularyStartingfromtheINSPIREUMLrepresentation
http://vocabularies.aginfra.eu/soil#
INSPIRE data model
agINFRA Soil Vocabulary
RDF model
agINFRA LOD data
19
Germplasm data
http://[CAAS-API-base-URL]/germplasm/rest
https://aginfra-sg.ct.infn.it/rdf/cncp/
CIARD RING
Existing
datasets
CAAS
CRA
New agINFRA datasets
http://ring.ciard.net
DATASETS agINFRA shop? CIARD directories
Germplasm data
Soil data
API
https://aginfra-sg.ct.infn.it/rdf/... ?? CRA Triple store
CRA Triple store
CKAN
CKAN
Dataverse
AGRIS
GLN
Namespaces of agINFRA
partners’ Linked Data
• Sustainability  namespaces with the data
owners
• CRA data: data.entecra.it (presented later)
– http://data.entecra.it/rdf/soil/
temporarily at https://aginfra-sg.ct.infn.it/rdf/cncp/
– http://data.entecra.it/rdf/germplasm/
temporarily at http://93.63.35.32:8080/d2rq/
• CAAS data (presented later)
– API: http://www.cgris.net/pquery.asp
• AGRIS data
– http://agris.fao.org/aos/
20
Useful links
• agINFRA project: http://aginfra.eu
• agINFRA vocabularies: http://vocabularies.aginfra.eu
• Tools:
– VocBench: http://aims.fao.org/tools/vocbench-2
– Neologism: http://neologism.deri.ie/
– Allegrograph: http://franz.com/agraph/allegrograph/
– D2RQ: http://d2rq.org/
The end
Thank you for your attention
Valeria Pesce
Giovanni L’Abate
Luca Matteis
Koraljka Golub

More Related Content

What's hot

2009 0807 Lod Gmod
2009 0807 Lod Gmod2009 0807 Lod Gmod
2009 0807 Lod Gmod
Jun Zhao
 
Improving the chemistry content of Wikipedia using workflow tools
Improving the chemistry content of Wikipedia using workflow toolsImproving the chemistry content of Wikipedia using workflow tools
Improving the chemistry content of Wikipedia using workflow tools
Mitch Miller
 
FAIRness through a novel combination of Web technologies
FAIRness through a novel combination of Web technologiesFAIRness through a novel combination of Web technologies
FAIRness through a novel combination of Web technologies
Research Data Alliance
 
Rapid Digitization of Latin American Ephemera with Hydra
Rapid Digitization of Latin American Ephemera with HydraRapid Digitization of Latin American Ephemera with Hydra
Rapid Digitization of Latin American Ephemera with Hydra
Jon Stroop
 
Bio2RDF presentation at Combine 2012
Bio2RDF presentation at Combine 2012Bio2RDF presentation at Combine 2012
Bio2RDF presentation at Combine 2012
François Belleau
 
Maximising (Re)Usability of Library metadata using Linked Data
Maximising (Re)Usability of Library metadata using Linked Data Maximising (Re)Usability of Library metadata using Linked Data
Maximising (Re)Usability of Library metadata using Linked Data
Asuncion Gomez-Perez
 
The CIARD RINGValeri
The CIARD RINGValeriThe CIARD RINGValeri
The CIARD RINGValeri
CIARD Movement
 
FAIR Projector Builder
FAIR Projector BuilderFAIR Projector Builder
FAIR Projector Builder
Mark Wilkinson
 
247th ACS Meeting: The Eureka Research Workbench
247th ACS Meeting: The Eureka Research Workbench247th ACS Meeting: The Eureka Research Workbench
247th ACS Meeting: The Eureka Research Workbench
Stuart Chalk
 
Timbuctoo 2 EASY
Timbuctoo 2 EASYTimbuctoo 2 EASY
Timbuctoo 2 EASY
henkvandenberg16
 
Documents, services, and data on the web
Documents, services, and data on the webDocuments, services, and data on the web
Documents, services, and data on the web
Chiara Del Vescovo
 
Global RDF Descriptors for Germplasm Data
Global RDF Descriptors for Germplasm DataGlobal RDF Descriptors for Germplasm Data
Global RDF Descriptors for Germplasm Data
Vassilis Protonotarios
 
Tech. session : Interoperability and Data FAIRness emerges from a novel combi...
Tech. session : Interoperability and Data FAIRness emerges from a novel combi...Tech. session : Interoperability and Data FAIRness emerges from a novel combi...
Tech. session : Interoperability and Data FAIRness emerges from a novel combi...
Mark Wilkinson
 
The nature.com ontologies portal: nature.com/ontologies
The nature.com ontologies portal: nature.com/ontologiesThe nature.com ontologies portal: nature.com/ontologies
The nature.com ontologies portal: nature.com/ontologies
Tony Hammond
 
Pride and ProteomeXchange
Pride and ProteomeXchangePride and ProteomeXchange
Pride and ProteomeXchange
Juan Antonio Vizcaino
 
nanopub-java: A Java Library for Nanopublications
nanopub-java: A Java Library for Nanopublicationsnanopub-java: A Java Library for Nanopublications
nanopub-java: A Java Library for Nanopublications
Tobias Kuhn
 
30° Nexa Lunch Seminar - Linked Data Platform vs real world
30° Nexa Lunch Seminar - Linked Data Platform vs real world30° Nexa Lunch Seminar - Linked Data Platform vs real world
30° Nexa Lunch Seminar - Linked Data Platform vs real world
Diego Valerio Camarda
 
Metadata in Local Government
Metadata in Local GovernmentMetadata in Local Government
Metadata in Local Government
Daniela Perri
 
Publishing and Consuming FAIR Data A Case in the Agri-Food Domain
Publishing and Consuming FAIR DataA Case in the Agri-Food DomainPublishing and Consuming FAIR DataA Case in the Agri-Food Domain
Publishing and Consuming FAIR Data A Case in the Agri-Food Domain
Rothamsted Research, UK
 

What's hot (19)

2009 0807 Lod Gmod
2009 0807 Lod Gmod2009 0807 Lod Gmod
2009 0807 Lod Gmod
 
Improving the chemistry content of Wikipedia using workflow tools
Improving the chemistry content of Wikipedia using workflow toolsImproving the chemistry content of Wikipedia using workflow tools
Improving the chemistry content of Wikipedia using workflow tools
 
FAIRness through a novel combination of Web technologies
FAIRness through a novel combination of Web technologiesFAIRness through a novel combination of Web technologies
FAIRness through a novel combination of Web technologies
 
Rapid Digitization of Latin American Ephemera with Hydra
Rapid Digitization of Latin American Ephemera with HydraRapid Digitization of Latin American Ephemera with Hydra
Rapid Digitization of Latin American Ephemera with Hydra
 
Bio2RDF presentation at Combine 2012
Bio2RDF presentation at Combine 2012Bio2RDF presentation at Combine 2012
Bio2RDF presentation at Combine 2012
 
Maximising (Re)Usability of Library metadata using Linked Data
Maximising (Re)Usability of Library metadata using Linked Data Maximising (Re)Usability of Library metadata using Linked Data
Maximising (Re)Usability of Library metadata using Linked Data
 
The CIARD RINGValeri
The CIARD RINGValeriThe CIARD RINGValeri
The CIARD RINGValeri
 
FAIR Projector Builder
FAIR Projector BuilderFAIR Projector Builder
FAIR Projector Builder
 
247th ACS Meeting: The Eureka Research Workbench
247th ACS Meeting: The Eureka Research Workbench247th ACS Meeting: The Eureka Research Workbench
247th ACS Meeting: The Eureka Research Workbench
 
Timbuctoo 2 EASY
Timbuctoo 2 EASYTimbuctoo 2 EASY
Timbuctoo 2 EASY
 
Documents, services, and data on the web
Documents, services, and data on the webDocuments, services, and data on the web
Documents, services, and data on the web
 
Global RDF Descriptors for Germplasm Data
Global RDF Descriptors for Germplasm DataGlobal RDF Descriptors for Germplasm Data
Global RDF Descriptors for Germplasm Data
 
Tech. session : Interoperability and Data FAIRness emerges from a novel combi...
Tech. session : Interoperability and Data FAIRness emerges from a novel combi...Tech. session : Interoperability and Data FAIRness emerges from a novel combi...
Tech. session : Interoperability and Data FAIRness emerges from a novel combi...
 
The nature.com ontologies portal: nature.com/ontologies
The nature.com ontologies portal: nature.com/ontologiesThe nature.com ontologies portal: nature.com/ontologies
The nature.com ontologies portal: nature.com/ontologies
 
Pride and ProteomeXchange
Pride and ProteomeXchangePride and ProteomeXchange
Pride and ProteomeXchange
 
nanopub-java: A Java Library for Nanopublications
nanopub-java: A Java Library for Nanopublicationsnanopub-java: A Java Library for Nanopublications
nanopub-java: A Java Library for Nanopublications
 
30° Nexa Lunch Seminar - Linked Data Platform vs real world
30° Nexa Lunch Seminar - Linked Data Platform vs real world30° Nexa Lunch Seminar - Linked Data Platform vs real world
30° Nexa Lunch Seminar - Linked Data Platform vs real world
 
Metadata in Local Government
Metadata in Local GovernmentMetadata in Local Government
Metadata in Local Government
 
Publishing and Consuming FAIR Data A Case in the Agri-Food Domain
Publishing and Consuming FAIR DataA Case in the Agri-Food DomainPublishing and Consuming FAIR DataA Case in the Agri-Food Domain
Publishing and Consuming FAIR Data A Case in the Agri-Food Domain
 

Viewers also liked

Data Modeling & Data Integration
Data Modeling & Data IntegrationData Modeling & Data Integration
Data Modeling & Data Integration
DATAVERSITY
 
Data discovery through federated dataset catalogs
Data discovery through federated dataset catalogsData discovery through federated dataset catalogs
Data discovery through federated dataset catalogs
Valeria Pesce
 
Microsoft Data Integration Pipelines: Azure Data Factory and SSIS
Microsoft Data Integration Pipelines: Azure Data Factory and SSISMicrosoft Data Integration Pipelines: Azure Data Factory and SSIS
Microsoft Data Integration Pipelines: Azure Data Factory and SSIS
Mark Kromer
 
A global linked and open data infrastructure for agricultural development
A global linked and open data infrastructure for agricultural developmentA global linked and open data infrastructure for agricultural development
A global linked and open data infrastructure for agricultural development
Valeria Pesce
 
Cognitive Search for Knowledge Management
Cognitive Search for Knowledge ManagementCognitive Search for Knowledge Management
Cognitive Search for Knowledge Management
Attivio
 
Semantic challenges in sharing dataset metadata and creating federated datase...
Semantic challenges in sharing dataset metadata and creating federated datase...Semantic challenges in sharing dataset metadata and creating federated datase...
Semantic challenges in sharing dataset metadata and creating federated datase...
Valeria Pesce
 
Semantics for food and agriculture: the GODAN Action map of data standards
Semantics for food and agriculture: the GODAN Action map of data standardsSemantics for food and agriculture: the GODAN Action map of data standards
Semantics for food and agriculture: the GODAN Action map of data standards
Valeria Pesce
 
How to describe a dataset. Interoperability issues
How to describe a dataset. Interoperability issuesHow to describe a dataset. Interoperability issues
How to describe a dataset. Interoperability issues
Valeria Pesce
 
Inventory of data standards for food & agriculture
Inventory of data standards for food & agricultureInventory of data standards for food & agriculture
Inventory of data standards for food & agriculture
Valeria Pesce
 
Sharing Agricultural Events Information: When and where is that workshop?
Sharing Agricultural Events Information: When and where is that workshop?Sharing Agricultural Events Information: When and where is that workshop?
Sharing Agricultural Events Information: When and where is that workshop?
Gauri Salokhe
 
The path to a Modern Data Architecture in Financial Services
The path to a Modern Data Architecture in Financial ServicesThe path to a Modern Data Architecture in Financial Services
The path to a Modern Data Architecture in Financial Services
Hortonworks
 
Dataset description: DCAT and other vocabularies
Dataset description: DCAT and other vocabulariesDataset description: DCAT and other vocabularies
Dataset description: DCAT and other vocabularies
Valeria Pesce
 
Attivio Predictions 2017
Attivio Predictions 2017Attivio Predictions 2017
Attivio Predictions 2017
Attivio
 
Big Data Integration & Analytics Data Flows with AWS Data Pipeline (BDT207) |...
Big Data Integration & Analytics Data Flows with AWS Data Pipeline (BDT207) |...Big Data Integration & Analytics Data Flows with AWS Data Pipeline (BDT207) |...
Big Data Integration & Analytics Data Flows with AWS Data Pipeline (BDT207) |...
Amazon Web Services
 
Microsoft Technologies for Data Science 201612
Microsoft Technologies for Data Science 201612Microsoft Technologies for Data Science 201612
Microsoft Technologies for Data Science 201612
Mark Tabladillo
 

Viewers also liked (15)

Data Modeling & Data Integration
Data Modeling & Data IntegrationData Modeling & Data Integration
Data Modeling & Data Integration
 
Data discovery through federated dataset catalogs
Data discovery through federated dataset catalogsData discovery through federated dataset catalogs
Data discovery through federated dataset catalogs
 
Microsoft Data Integration Pipelines: Azure Data Factory and SSIS
Microsoft Data Integration Pipelines: Azure Data Factory and SSISMicrosoft Data Integration Pipelines: Azure Data Factory and SSIS
Microsoft Data Integration Pipelines: Azure Data Factory and SSIS
 
A global linked and open data infrastructure for agricultural development
A global linked and open data infrastructure for agricultural developmentA global linked and open data infrastructure for agricultural development
A global linked and open data infrastructure for agricultural development
 
Cognitive Search for Knowledge Management
Cognitive Search for Knowledge ManagementCognitive Search for Knowledge Management
Cognitive Search for Knowledge Management
 
Semantic challenges in sharing dataset metadata and creating federated datase...
Semantic challenges in sharing dataset metadata and creating federated datase...Semantic challenges in sharing dataset metadata and creating federated datase...
Semantic challenges in sharing dataset metadata and creating federated datase...
 
Semantics for food and agriculture: the GODAN Action map of data standards
Semantics for food and agriculture: the GODAN Action map of data standardsSemantics for food and agriculture: the GODAN Action map of data standards
Semantics for food and agriculture: the GODAN Action map of data standards
 
How to describe a dataset. Interoperability issues
How to describe a dataset. Interoperability issuesHow to describe a dataset. Interoperability issues
How to describe a dataset. Interoperability issues
 
Inventory of data standards for food & agriculture
Inventory of data standards for food & agricultureInventory of data standards for food & agriculture
Inventory of data standards for food & agriculture
 
Sharing Agricultural Events Information: When and where is that workshop?
Sharing Agricultural Events Information: When and where is that workshop?Sharing Agricultural Events Information: When and where is that workshop?
Sharing Agricultural Events Information: When and where is that workshop?
 
The path to a Modern Data Architecture in Financial Services
The path to a Modern Data Architecture in Financial ServicesThe path to a Modern Data Architecture in Financial Services
The path to a Modern Data Architecture in Financial Services
 
Dataset description: DCAT and other vocabularies
Dataset description: DCAT and other vocabulariesDataset description: DCAT and other vocabularies
Dataset description: DCAT and other vocabularies
 
Attivio Predictions 2017
Attivio Predictions 2017Attivio Predictions 2017
Attivio Predictions 2017
 
Big Data Integration & Analytics Data Flows with AWS Data Pipeline (BDT207) |...
Big Data Integration & Analytics Data Flows with AWS Data Pipeline (BDT207) |...Big Data Integration & Analytics Data Flows with AWS Data Pipeline (BDT207) |...
Big Data Integration & Analytics Data Flows with AWS Data Pipeline (BDT207) |...
 
Microsoft Technologies for Data Science 201612
Microsoft Technologies for Data Science 201612Microsoft Technologies for Data Science 201612
Microsoft Technologies for Data Science 201612
 

Similar to The agINFRA Linked Data layer

Linked Open Data stuff
Linked Open Data stuffLinked Open Data stuff
Exposing Bibliographic Information as Linked Open Data using Standards-based ...
Exposing Bibliographic Information as Linked Open Data using Standards-based ...Exposing Bibliographic Information as Linked Open Data using Standards-based ...
Exposing Bibliographic Information as Linked Open Data using Standards-based ...
Nikolaos Konstantinou
 
Ifla swsig meeting - Puerto Rico - 20110817
Ifla swsig meeting - Puerto Rico - 20110817Ifla swsig meeting - Puerto Rico - 20110817
Ifla swsig meeting - Puerto Rico - 20110817Figoblog
 
IBC FAIR Data Prototype Implementation slideshow
IBC FAIR Data Prototype Implementation   slideshowIBC FAIR Data Prototype Implementation   slideshow
IBC FAIR Data Prototype Implementation slideshow
Mark Wilkinson
 
Working with data.open.ac.uk, the Linked Data Platform of the Open University
Working with data.open.ac.uk, the Linked Data Platform of the Open UniversityWorking with data.open.ac.uk, the Linked Data Platform of the Open University
Working with data.open.ac.uk, the Linked Data Platform of the Open University
Mathieu d'Aquin
 
GDG Meets U event - Big data & Wikidata - no lies codelab
GDG Meets U event - Big data & Wikidata -  no lies codelabGDG Meets U event - Big data & Wikidata -  no lies codelab
GDG Meets U event - Big data & Wikidata - no lies codelab
CAMELIA BOBAN
 
Bio2RDF@BH2010
Bio2RDF@BH2010Bio2RDF@BH2010
Bio2RDF@BH2010
François Belleau
 
‘Facilitating User Engagement by Enriching Library Data using Semantic Techno...
‘Facilitating User Engagement by Enriching Library Data using Semantic Techno...‘Facilitating User Engagement by Enriching Library Data using Semantic Techno...
‘Facilitating User Engagement by Enriching Library Data using Semantic Techno...
CONUL Conference
 
Finding sci tech grey literature information
Finding sci tech grey literature informationFinding sci tech grey literature information
Finding sci tech grey literature information
Matthew Von Hendy
 
07 reusable padfield
07 reusable padfield07 reusable padfield
07 reusable padfield
ShareCareX
 
re3data.org – Registry of Research Data Repositories
re3data.org – Registry of Research Data Repositoriesre3data.org – Registry of Research Data Repositories
re3data.org – Registry of Research Data Repositories
Heinz Pampel
 
FAIR Data Prototype - Interoperability and FAIRness through a novel combinati...
FAIR Data Prototype - Interoperability and FAIRness through a novel combinati...FAIR Data Prototype - Interoperability and FAIRness through a novel combinati...
FAIR Data Prototype - Interoperability and FAIRness through a novel combinati...
Mark Wilkinson
 
Producing, publishing and consuming linked data - CSHALS 2013
Producing, publishing and consuming linked data - CSHALS 2013Producing, publishing and consuming linked data - CSHALS 2013
Producing, publishing and consuming linked data - CSHALS 2013
François Belleau
 
ARIADNE: Report on project metadata standards and thesauri in use
ARIADNE: Report on project metadata standards and thesauri in useARIADNE: Report on project metadata standards and thesauri in use
ARIADNE: Report on project metadata standards and thesauri in use
ariadnenetwork
 
Semantic Web special interest group meeting - IFLA WLIC 2012
Semantic Web special interest group meeting - IFLA WLIC 2012Semantic Web special interest group meeting - IFLA WLIC 2012
Semantic Web special interest group meeting - IFLA WLIC 2012Figoblog
 
FAIR Workflows and Research Objects get a Workout
FAIR Workflows and Research Objects get a Workout FAIR Workflows and Research Objects get a Workout
FAIR Workflows and Research Objects get a Workout
Carole Goble
 
The new CIARD RING , a machine-readable directory of datasets for agriculture
The new CIARD RING, a machine-readable directory of datasets for agricultureThe new CIARD RING, a machine-readable directory of datasets for agriculture
The new CIARD RING , a machine-readable directory of datasets for agriculture
Valeria Pesce
 
A Linked Fusion of Things, Services, and Data to Support a Collaborative Data...
A Linked Fusion of Things, Services, and Data to Support a Collaborative Data...A Linked Fusion of Things, Services, and Data to Support a Collaborative Data...
A Linked Fusion of Things, Services, and Data to Support a Collaborative Data...
Eric Stephan
 

Similar to The agINFRA Linked Data layer (20)

Linked Open Data stuff
Linked Open Data stuffLinked Open Data stuff
Linked Open Data stuff
 
2005 09 Dc Keynote
2005 09 Dc Keynote2005 09 Dc Keynote
2005 09 Dc Keynote
 
Exposing Bibliographic Information as Linked Open Data using Standards-based ...
Exposing Bibliographic Information as Linked Open Data using Standards-based ...Exposing Bibliographic Information as Linked Open Data using Standards-based ...
Exposing Bibliographic Information as Linked Open Data using Standards-based ...
 
Ifla swsig meeting - Puerto Rico - 20110817
Ifla swsig meeting - Puerto Rico - 20110817Ifla swsig meeting - Puerto Rico - 20110817
Ifla swsig meeting - Puerto Rico - 20110817
 
IBC FAIR Data Prototype Implementation slideshow
IBC FAIR Data Prototype Implementation   slideshowIBC FAIR Data Prototype Implementation   slideshow
IBC FAIR Data Prototype Implementation slideshow
 
Working with data.open.ac.uk, the Linked Data Platform of the Open University
Working with data.open.ac.uk, the Linked Data Platform of the Open UniversityWorking with data.open.ac.uk, the Linked Data Platform of the Open University
Working with data.open.ac.uk, the Linked Data Platform of the Open University
 
GDG Meets U event - Big data & Wikidata - no lies codelab
GDG Meets U event - Big data & Wikidata -  no lies codelabGDG Meets U event - Big data & Wikidata -  no lies codelab
GDG Meets U event - Big data & Wikidata - no lies codelab
 
Bio2RDF@BH2010
Bio2RDF@BH2010Bio2RDF@BH2010
Bio2RDF@BH2010
 
‘Facilitating User Engagement by Enriching Library Data using Semantic Techno...
‘Facilitating User Engagement by Enriching Library Data using Semantic Techno...‘Facilitating User Engagement by Enriching Library Data using Semantic Techno...
‘Facilitating User Engagement by Enriching Library Data using Semantic Techno...
 
Finding sci tech grey literature information
Finding sci tech grey literature informationFinding sci tech grey literature information
Finding sci tech grey literature information
 
OpenAGRIS: using bibliographical data for linking into the agricultural knowl...
OpenAGRIS: using bibliographical data for linking into the agricultural knowl...OpenAGRIS: using bibliographical data for linking into the agricultural knowl...
OpenAGRIS: using bibliographical data for linking into the agricultural knowl...
 
07 reusable padfield
07 reusable padfield07 reusable padfield
07 reusable padfield
 
re3data.org – Registry of Research Data Repositories
re3data.org – Registry of Research Data Repositoriesre3data.org – Registry of Research Data Repositories
re3data.org – Registry of Research Data Repositories
 
FAIR Data Prototype - Interoperability and FAIRness through a novel combinati...
FAIR Data Prototype - Interoperability and FAIRness through a novel combinati...FAIR Data Prototype - Interoperability and FAIRness through a novel combinati...
FAIR Data Prototype - Interoperability and FAIRness through a novel combinati...
 
Producing, publishing and consuming linked data - CSHALS 2013
Producing, publishing and consuming linked data - CSHALS 2013Producing, publishing and consuming linked data - CSHALS 2013
Producing, publishing and consuming linked data - CSHALS 2013
 
ARIADNE: Report on project metadata standards and thesauri in use
ARIADNE: Report on project metadata standards and thesauri in useARIADNE: Report on project metadata standards and thesauri in use
ARIADNE: Report on project metadata standards and thesauri in use
 
Semantic Web special interest group meeting - IFLA WLIC 2012
Semantic Web special interest group meeting - IFLA WLIC 2012Semantic Web special interest group meeting - IFLA WLIC 2012
Semantic Web special interest group meeting - IFLA WLIC 2012
 
FAIR Workflows and Research Objects get a Workout
FAIR Workflows and Research Objects get a Workout FAIR Workflows and Research Objects get a Workout
FAIR Workflows and Research Objects get a Workout
 
The new CIARD RING , a machine-readable directory of datasets for agriculture
The new CIARD RING, a machine-readable directory of datasets for agricultureThe new CIARD RING, a machine-readable directory of datasets for agriculture
The new CIARD RING , a machine-readable directory of datasets for agriculture
 
A Linked Fusion of Things, Services, and Data to Support a Collaborative Data...
A Linked Fusion of Things, Services, and Data to Support a Collaborative Data...A Linked Fusion of Things, Services, and Data to Support a Collaborative Data...
A Linked Fusion of Things, Services, and Data to Support a Collaborative Data...
 

More from Valeria Pesce

Codes of conduct for farm data sharing. Work done and ideas for a GODAN/CTA s...
Codes of conduct for farm data sharing. Work done and ideas for a GODAN/CTA s...Codes of conduct for farm data sharing. Work done and ideas for a GODAN/CTA s...
Codes of conduct for farm data sharing. Work done and ideas for a GODAN/CTA s...
Valeria Pesce
 
Digital agriculture: ICT-amplified data asymmetries and power imbalances. Pol...
Digital agriculture: ICT-amplified data asymmetries and power imbalances. Pol...Digital agriculture: ICT-amplified data asymmetries and power imbalances. Pol...
Digital agriculture: ICT-amplified data asymmetries and power imbalances. Pol...
Valeria Pesce
 
Farmers' data rights - Some findings
Farmers' data rights - Some findingsFarmers' data rights - Some findings
Farmers' data rights - Some findings
Valeria Pesce
 
Publishing Germplasm Vocabularies as Linked Data
Publishing Germplasm Vocabularies as Linked DataPublishing Germplasm Vocabularies as Linked Data
Publishing Germplasm Vocabularies as Linked Data
Valeria Pesce
 
VIVOCamp slides: agenda and slides on the extension of the ontology
VIVOCamp slides: agenda and slides on the extension of the ontologyVIVOCamp slides: agenda and slides on the extension of the ontology
VIVOCamp slides: agenda and slides on the extension of the ontology
Valeria Pesce
 
AgriVIVO: A Global Ontology-Driven RDF Store Based on a Distributed Architect...
AgriVIVO: A Global Ontology-Driven RDF Store Based on a Distributed Architect...AgriVIVO: A Global Ontology-Driven RDF Store Based on a Distributed Architect...
AgriVIVO: A Global Ontology-Driven RDF Store Based on a Distributed Architect...
Valeria Pesce
 
AgriVIVO. Fostering better networking and collaboration among researchers, re...
AgriVIVO. Fostering better networking and collaboration among researchers, re...AgriVIVO. Fostering better networking and collaboration among researchers, re...
AgriVIVO. Fostering better networking and collaboration among researchers, re...Valeria Pesce
 
AgriDrupal: general presentation
AgriDrupal: general presentationAgriDrupal: general presentation
AgriDrupal: general presentation
Valeria Pesce
 
Developing Agricultural Research Information Systems. The experience of the G...
Developing Agricultural Research Information Systems. The experience of the G...Developing Agricultural Research Information Systems. The experience of the G...
Developing Agricultural Research Information Systems. The experience of the G...
Valeria Pesce
 
Information / software architectures based on Content Management Systems (CMS)
Information / software architectures based on Content Management Systems (CMS)Information / software architectures based on Content Management Systems (CMS)
Information / software architectures based on Content Management Systems (CMS)
Valeria Pesce
 
The CIARD RING, an infrastructure for interoperability of agricultural resear...
The CIARD RING, an infrastructure for interoperability of agricultural resear...The CIARD RING, an infrastructure for interoperability of agricultural resear...
The CIARD RING, an infrastructure for interoperability of agricultural resear...
Valeria Pesce
 
Libraries 2.0 and RSS
Libraries 2.0 and RSSLibraries 2.0 and RSS
Libraries 2.0 and RSS
Valeria Pesce
 
The Ciard RING
The Ciard RINGThe Ciard RING
The Ciard RING
Valeria Pesce
 
The Global ARD Web Ring
The Global ARD Web RingThe Global ARD Web Ring
The Global ARD Web Ring
Valeria Pesce
 
The EGFAR web space: Using Web 2.0 technologies to electronically mimic GFAR
The EGFAR web space: Using Web 2.0 technologies to electronically mimic GFARThe EGFAR web space: Using Web 2.0 technologies to electronically mimic GFAR
The EGFAR web space: Using Web 2.0 technologies to electronically mimic GFAR
Valeria Pesce
 

More from Valeria Pesce (15)

Codes of conduct for farm data sharing. Work done and ideas for a GODAN/CTA s...
Codes of conduct for farm data sharing. Work done and ideas for a GODAN/CTA s...Codes of conduct for farm data sharing. Work done and ideas for a GODAN/CTA s...
Codes of conduct for farm data sharing. Work done and ideas for a GODAN/CTA s...
 
Digital agriculture: ICT-amplified data asymmetries and power imbalances. Pol...
Digital agriculture: ICT-amplified data asymmetries and power imbalances. Pol...Digital agriculture: ICT-amplified data asymmetries and power imbalances. Pol...
Digital agriculture: ICT-amplified data asymmetries and power imbalances. Pol...
 
Farmers' data rights - Some findings
Farmers' data rights - Some findingsFarmers' data rights - Some findings
Farmers' data rights - Some findings
 
Publishing Germplasm Vocabularies as Linked Data
Publishing Germplasm Vocabularies as Linked DataPublishing Germplasm Vocabularies as Linked Data
Publishing Germplasm Vocabularies as Linked Data
 
VIVOCamp slides: agenda and slides on the extension of the ontology
VIVOCamp slides: agenda and slides on the extension of the ontologyVIVOCamp slides: agenda and slides on the extension of the ontology
VIVOCamp slides: agenda and slides on the extension of the ontology
 
AgriVIVO: A Global Ontology-Driven RDF Store Based on a Distributed Architect...
AgriVIVO: A Global Ontology-Driven RDF Store Based on a Distributed Architect...AgriVIVO: A Global Ontology-Driven RDF Store Based on a Distributed Architect...
AgriVIVO: A Global Ontology-Driven RDF Store Based on a Distributed Architect...
 
AgriVIVO. Fostering better networking and collaboration among researchers, re...
AgriVIVO. Fostering better networking and collaboration among researchers, re...AgriVIVO. Fostering better networking and collaboration among researchers, re...
AgriVIVO. Fostering better networking and collaboration among researchers, re...
 
AgriDrupal: general presentation
AgriDrupal: general presentationAgriDrupal: general presentation
AgriDrupal: general presentation
 
Developing Agricultural Research Information Systems. The experience of the G...
Developing Agricultural Research Information Systems. The experience of the G...Developing Agricultural Research Information Systems. The experience of the G...
Developing Agricultural Research Information Systems. The experience of the G...
 
Information / software architectures based on Content Management Systems (CMS)
Information / software architectures based on Content Management Systems (CMS)Information / software architectures based on Content Management Systems (CMS)
Information / software architectures based on Content Management Systems (CMS)
 
The CIARD RING, an infrastructure for interoperability of agricultural resear...
The CIARD RING, an infrastructure for interoperability of agricultural resear...The CIARD RING, an infrastructure for interoperability of agricultural resear...
The CIARD RING, an infrastructure for interoperability of agricultural resear...
 
Libraries 2.0 and RSS
Libraries 2.0 and RSSLibraries 2.0 and RSS
Libraries 2.0 and RSS
 
The Ciard RING
The Ciard RINGThe Ciard RING
The Ciard RING
 
The Global ARD Web Ring
The Global ARD Web RingThe Global ARD Web Ring
The Global ARD Web Ring
 
The EGFAR web space: Using Web 2.0 technologies to electronically mimic GFAR
The EGFAR web space: Using Web 2.0 technologies to electronically mimic GFARThe EGFAR web space: Using Web 2.0 technologies to electronically mimic GFAR
The EGFAR web space: Using Web 2.0 technologies to electronically mimic GFAR
 

Recently uploaded

UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
DianaGray10
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Kari Kakkonen
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
Uni Systems S.M.S.A.
 
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionGenerative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Aggregage
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
Adtran
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Malak Abu Hammad
 
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofszkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
Alex Pruden
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
James Anderson
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Kumud Singh
 
RESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for studentsRESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for students
KAMESHS29
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
名前 です男
 
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfObservability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Paige Cruz
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
ControlCase
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
Octavian Nadolu
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
Aftab Hussain
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Safe Software
 
By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024
Pierluigi Pugliese
 
“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”
Claudio Di Ciccio
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
Alpen-Adria-Universität
 

Recently uploaded (20)

UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
 
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionGenerative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
 
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofszkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
 
RESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for studentsRESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for students
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
 
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfObservability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
 
By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024
 
“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
 

The agINFRA Linked Data layer

  • 1. The agINFRA Linked Data layer Valeria Pesce Global Forum on Agricultural Research (GFAR) Giovanni L’Abate Consiglio per la Ricerca e la sperimentazione in Agricoltura Centro di ricerca per l’agrobiologia e la pedologia (CRA-ABP) Luca Matteis Koraljka Golub Research Data Alliance 4th Plenary Meeting 22-24 September 2014, Amsterdam Agricultural Data Interoperability Interest Group agINFRA project EC 7th framework program INFRA-2011-1.2.2 - Grant agr. no: 283770
  • 2. agINFRA - Background • agINFRA: FP7 project EC 7th framework program INFRA-2011-1.2.2 - Grant agr. no: 283770 Objective: Promoting data sharing and development of trust in agricultural sciences • agINFRA Knowledge Fair co-located with the Agricultural Data Interoperability Interest group meeting at the RDA 4th Plenary Meeting • Types of data covered by agINFRA: bibliographic, educational, germplasm, soil
  • 3. Interoperability 1 They are often both called vocabularies Metadata elements to describe individual “things” (entities, datums, series…) Aka metadata sets, metadata element sets, vocabularies Sets of values for (some of) the metadata elements Aka controlled vocabularies, authority data, value vocabularies, Knowledge Organization Systems (KOSs)
  • 4. Various flavors of vocabularies Title Author(s) Abstract Subject(s) Publication date Publication place Type of document other features… Entity to be describedType? Bibliographic resource for describing bibliographic resources Metadata vocabulary Authority data KOS “Value vocabularies” Data of type Person Authority data Data of type Geographic location “Description vocabularies” Controlled list Concepts suitable for organizing by Topic Concepts suitable for organizing by Type for describing people Metadata vocabularyfor describing geographic places Ontology
  • 5. Names of things URIs of things Links to other URIs Metadata vocabularies RDFs / OWL KOS SKOS Names of metadata elements URIs of classes and properties Links to other URIs Serialization into RDF Interoperability 2: RDF and Linked Data http://purl.org/dc/elements/1.1/contributorhttp://purl.org/ontology/bibo/editor“Editor” rdfs:subPropertyOf http://aims.fao.org/aos/agrovoc/c_6599 http://id.loc.gov/authorities/sh85113862#concept“Rice” skos:exactMatch
  • 6. Names of metadata elements URIs of classes and properties Databases / tables / series Names of things URIs of things Links to other URIs http://vocabularies.aginfra.eu/soil#isObservedOnLocation • Then, other complex things like “URI de-referencing” and “content negotiation”… (some good triple store platforms do it out of the box) Interoperability 2: RDF and Linked Data http://purl.org/ontology/bibo/editor“Editor” https://aginfra- sg.ct.infn.it/rdf/cncp/resource/ObservedSoilSite/ 16.4CLcch1-1 http://vocabularies.aginfra.eu/soil#Obs ervedSoilProfile “Observed soil 16.4CLcch1” rdfs:type Serialization into RDF “Observed in location”
  • 7. Tools used in agINFRA • For building and managing SKOS: the FAO VocBench • For publishing KOSs as Linked Data: SKOS loaded into Allegrograph • For building and publishing RDF vocabularies: Neologism • For publishing data as Linked Data: D2RQ from database to RDF > mapping to published classes and properties Links are provided in the last slide
  • 8. Linked Data in agINFRA • Linked Data Vocabularies – Reference to existing relevant RDF vocabularies and SKOS – New RDF vocabularies only when not existing (e.g. soil ontology) – New KOS only when: • Not existing • Mapping needed between local concepts and published concepts • Extension needed • Linked Data datasets – Bibliographic data: AGRIS triple store – Germplasm data: • CAAS Linked Data API (presented later) • CRA triple store (presented later) – Soil data: CRA triple store (presented later)
  • 9. agINFRA LOD vocabularies 9 Vocabularies. aginfra.eu agINFRA VocBench agINFRA Neologism http://202.73.13.50:55481/aginfra/ VEST Registry http://vocabularies.aginfra.eu http://vocabularies.aginfra.eu CIARD RING Existing vocabularies KOSs Metadata / ontologies New agINFRA vocabularies http://aims.fao.org/vest-registry http://ring.ciard.net TOOLS agINFRA shop CIARD directories http://202.45.139.84:100 35/catalogs/fao/repositori es/agINFRA Triple store
  • 10. URLs of agINFRA Linked Data vocabulary platforms • agINFRA overview of vocabularies: http://vocabularies.aginfra.eu • New agINFRA Soil Vocabulary: http://vocabularies.aginfra.eu/soil# • VocBench instances: http://202.73.13.50:55481/aginfra/ http://artemide.art.uniroma2.it/vocbench2 • Allegrograph triple store of agINFRA KOSs: http://202.45.139.84:10035/catalogs/fao/repositories/ag INFRA
  • 11. Namespaces of agINFRA new vocabularies • agINFRA Soil vocabulary: http://vocabularies.aginfra.eu/soil# • CRA Soil Terms: http://data.entecra.it/rdf/kos/soil/ or http://soilmaps.entecra.it/rdf/kos/soil/ • CRA Germplasm Terms: http://data.entecra.it/rdf/germplasm/soil/ or http://planta-res.entecra.it/rdf/kos/germplasm/ • agINFRA Resource Types Terms: http://aginfra.eu/voc/aginfra_doctypes/ • agINFRA Educational Resources Terms: http://aginfra.eu/voc/aginfra_eduterms/
  • 12. Example 1: the Soil Terms KOS Rationale: • CRA had local lists of values for several soil properties • In most cases those values mapped conceptually with terms in published KOSs  Local values published as new KOS with mappings to USDA Soil Taxonomy terms and/or WRB whenever possible
  • 13. Soil Terms: starting from a database table  Excel file
  • 14. Table loaded into the VocBench as SKOS
  • 15. Example 2: Resource types in AGRIS Starting from a table Concept Type of Concept Relationship among concepts Bibliography Top broadMatch http://purl.org/dc/dcmitype/Text Book Top NT Handbook/Manual broadMatch http://purl.org/dc/dcmitype/Text Conference BT Event broadMatch http://purl.org/dc/dcmitype/Event Dictionary Top broadMatch http://purl.org/dc/dcmitype/Text Directory Top relatedTerm http://purl.org/dc/dcmitype/Collection Drawing BT Image broadMatch http://purl.org/dc/dcmitype/Image Encyclopaedia Top broadMatch http://purl.org/dc/dcmitype/Text Event Top NT Conference exactMatch http://purl.org/dc/dcmitype/Event Extension Top Film Top broadMatch http://purl.org/dc/dcmitype/MovingImage Graphics BT Image broadMatch http://purl.org/dc/dcmitype/Image Handbook/Manual BT Book broadMatch http://purl.org/dc/dcmitype/Text Image Top NT Drawing, NT Graphics, NT MapsorAtlases exactMatch http://purl.org/dc/dcmitype/Image JournalArticle Top NT Preprint broadMatch http://purl.org/dc/dcmitype/Text Lit.Review Top broadMatch http://purl.org/dc/dcmitype/Text Manuscript Top broadMatch http://purl.org/dc/dcmitype/Text MapsorAtlases BT Image broadMatch http://purl.org/dc/dcmitype/Image News Top Non-Conventional Top NumericalData Top broadMatch http://purl.org/dc/dcmitype/Dataset Other Top Patent Top broadMatch http://purl.org/dc/dcmitype/Text Preprint BT JournalArticle broadMatch http://purl.org/dc/dcmitype/Text Report Top broadMatch http://purl.org/dc/dcmitype/Text Sound/Music Top broadMatch http://purl.org/dc/dcmitype/Sound Speech Top broadMatch http://purl.org/dc/dcmitype/Sound Standard Top broadMatch http://purl.org/dc/dcmitype/Text Summary Top broadMatch http://purl.org/dc/dcmitype/Text Thesaurus Top broadMatch http://purl.org/dc/dcmitype/Text Thesis Top broadMatch http://purl.org/dc/dcmitype/Text Website Top External mapping
  • 16. AGRIS resource types in the VocBench http://aginfra.eu/voc/aginfra_doctypes/
  • 17. Example 3: the Soil VocabularyStartingfromtheINSPIREUMLrepresentation
  • 19. agINFRA LOD data 19 Germplasm data http://[CAAS-API-base-URL]/germplasm/rest https://aginfra-sg.ct.infn.it/rdf/cncp/ CIARD RING Existing datasets CAAS CRA New agINFRA datasets http://ring.ciard.net DATASETS agINFRA shop? CIARD directories Germplasm data Soil data API https://aginfra-sg.ct.infn.it/rdf/... ?? CRA Triple store CRA Triple store CKAN CKAN Dataverse AGRIS GLN
  • 20. Namespaces of agINFRA partners’ Linked Data • Sustainability  namespaces with the data owners • CRA data: data.entecra.it (presented later) – http://data.entecra.it/rdf/soil/ temporarily at https://aginfra-sg.ct.infn.it/rdf/cncp/ – http://data.entecra.it/rdf/germplasm/ temporarily at http://93.63.35.32:8080/d2rq/ • CAAS data (presented later) – API: http://www.cgris.net/pquery.asp • AGRIS data – http://agris.fao.org/aos/ 20
  • 21. Useful links • agINFRA project: http://aginfra.eu • agINFRA vocabularies: http://vocabularies.aginfra.eu • Tools: – VocBench: http://aims.fao.org/tools/vocbench-2 – Neologism: http://neologism.deri.ie/ – Allegrograph: http://franz.com/agraph/allegrograph/ – D2RQ: http://d2rq.org/
  • 22. The end Thank you for your attention Valeria Pesce Giovanni L’Abate Luca Matteis Koraljka Golub