SlideShare a Scribd company logo
1 of 38
Download to read offline
Linked Open
Data
and
Scientific
knowledge
management
systems
Gregor Hagedorn,
Museum für Naturkunde
Berlin© U.Kils, CC BY-SA 3.0; from Wikimedia Commons
1. Scientist
reads in the
Web browser
2. Data-
federation
/-indexing
Links are not
yet operational
GBIF Datenfederation
Data from
Thailand?
Fungal
Cultures
CBS
Herbarium
München
Insect
Collection
MfN
Bird data
Germany
after Dave Remsen, GBIF, TDWG 2011
Bird data
Austria
Insect
Collection
NHM, UK
© i4Life
Some linking (R. Page)
Linking is usually
DB-internal = local
This is inefficient.
- Stable Links
- Return data
Identifiers
Specimen
Collection
Datenbase
Botanical
Nomenclatural
Database
Classical Identifiers
Specimen
Collection
Datenbase
Taxon = urn:uuid:
6e8bc430-9c3a-
11d9-9669-
0800200c9a66
Botanical
Nomenclatural
Database
Taxon = urn:uuid:
6e8bc430-9c3a-
11d9-9669-
0800200c9a66
Classical Identifiers
Specimen
Collection
Datenbase
Taxon = urn:uuid:
6e8bc430-9c3a-
11d9-9669-
0800200c9a66
Botanical
Nomenclatural
Database
Taxon = urn:uuid:
6e8bc430-9c3a-
11d9-9669-
0800200c9a66
Classical IdentifiersIf
this
found:
And
this
found:
Then
relation
detected:
Specimen
Collection
Datenbase
Taxon = http://
id.pesi.org/tax/6
e8bc430-9c3a-
11d9-9669-
0800200c9a66
Botanical
Nomenclatural
Database
@ http://
id.pesi.org/tax/6
e8bc430-9c3a-
11d9-9669-
0800200c9a66
Semantic Web
Specimen
Collection
Datenbase
Taxon = http://
id.pesi.org/tax/6
e8bc430-9c3a-
11d9-9669-
0800200c9a66
Botanical
Nomenclatural
Database
@ http://
id.pesi.org/tax/6
e8bc430-9c3a-
11d9-9669-
0800200c9a66
Semantic WebIf
this
found:
Then
relation
derefenced
Specimen
Collection
Datenbase
Taxon = http://
id.pesi.org/tax/6
e8bc430-9c3a-
11d9-9669-
0800200c9a66
Botanical
Nomenclatural
Database
@ http://
id.pesi.org/tax/6
e8bc430-9c3a-
11d9-9669-
0800200c9a66
Semantic Web
Micro-
citation
of data!
Semantic Web
B C
Thing
A D E
= typed links (properties)
Thing
Thing
Thing
Thing
Thing Thing
Thing
Thing
Thing
Linked Open Data Cloud (LOD 2011)
Linked Open Data Cloud (LOD 2011)
Why Linked Open Data?
– Distributed Web Model
• using W3C standards (xml, rdf, owl)
• Machine usable data (automatic analysis & reasoning)
• Web pages at same identifier (content negotiation)
Why Linked Open Data?
– Distributed Web Model
• using W3C standards (xml, rdf, owl)
• Machine usable data (automatic analysis & reasoning)
• Web pages at same identifier (content negotiation)
– Anyone can say anything about anything, anywhere
• Usages that the data providers never anticipated
• Third parties connect concepts between data sets
• Particular needs contribute to global achievement
Why Linked Open Data?
– Distributed Web Model
• using W3C standards (xml, rdf, owl)
• Machine usable data (automatic analysis & reasoning)
• Web pages at same identifier (content negotiation)
– Anyone can say anything about anything, anywhere
• Usages that the data providers never anticipated
• Third parties connect concepts between data sets
• Particular needs contribute to global achievement
– Flexible to adapt to almost any form of data
– Information managed at source plus annotated globally
Why Linked Open Data?
– Distributed Web Model
• using W3C standards (xml, rdf, owl)
• Machine usable data (automatic analysis & reasoning)
• Web pages at same identifier (content negotiation)
– Anyone can say anything about anything, anywhere
• Usages that the data providers never anticipated
• Third parties connect concepts between data sets
• Particular needs contribute to global achievement
– Flexible to adapt to almost any form of data
– Information managed at source plus annotated globally
– Queries and other analysis can combine arbitrary sets of
data, anywhere and owned by anyone
– Common and diverse vocabularies can be used together
and related to each other (creativity, science!)
Strategy:
1. Stable Identifiers Now
(Semantic Web compatible,
http-dereferenceable)
2. Semantic Web Later ...
Identifier patterns?
–http://objects. myorg.edu/id/1C4EDC178
AD79DD7F1A5AB856E8C5BCA#treatment
or
–http://concepts.myorg.edu/id/123#treatment
or
–http://id.plazi.org/specimen/123#label
Stability is a
management
decision!
Scientific
knowledge
management
systems?
Discoverable
Distributed
Dissent &
Discourse
Fine-granular
knowledge
curation?
LOD is not
solution to all.
Infrastructure to build on top of it
Collaboration
must become
more efficient

More Related Content

What's hot

Making it Easier, Possibly Even Pleasant, to Author Rich Experimental Metadata
Making it Easier, Possibly Even Pleasant, to Author Rich Experimental MetadataMaking it Easier, Possibly Even Pleasant, to Author Rich Experimental Metadata
Making it Easier, Possibly Even Pleasant, to Author Rich Experimental MetadataMichel Dumontier
 
THOR Workshop - Introduction
THOR Workshop - IntroductionTHOR Workshop - Introduction
THOR Workshop - IntroductionMaaike Duine
 
Data and Donuts: How to write a data management plan
Data and Donuts: How to write a data management planData and Donuts: How to write a data management plan
Data and Donuts: How to write a data management planC. Tobin Magle
 
THOR Workshop - Data Publishing Elsevier
THOR Workshop - Data Publishing ElsevierTHOR Workshop - Data Publishing Elsevier
THOR Workshop - Data Publishing ElsevierMaaike Duine
 
THOR Workshop - Data Publishing
THOR Workshop - Data PublishingTHOR Workshop - Data Publishing
THOR Workshop - Data PublishingMaaike Duine
 
THOR Workshop - Data Publishing PLOS
THOR Workshop - Data Publishing PLOSTHOR Workshop - Data Publishing PLOS
THOR Workshop - Data Publishing PLOSMaaike Duine
 
Reflections on a (slightly unusual) multi-disciplinary academic career
Reflections on a (slightly unusual) multi-disciplinary academic careerReflections on a (slightly unusual) multi-disciplinary academic career
Reflections on a (slightly unusual) multi-disciplinary academic careerCarole Goble
 
Data and Donuts: The Impact of Data Management
Data and Donuts: The Impact of Data ManagementData and Donuts: The Impact of Data Management
Data and Donuts: The Impact of Data ManagementC. Tobin Magle
 
FAIR Data and Model Management for Systems Biology (and SOPs too!)
FAIR Data and Model Management for Systems Biology(and SOPs too!)FAIR Data and Model Management for Systems Biology(and SOPs too!)
FAIR Data and Model Management for Systems Biology (and SOPs too!)Carole Goble
 
FAIR data and model management for systems biology.
FAIR data and model management for systems biology.FAIR data and model management for systems biology.
FAIR data and model management for systems biology.FAIRDOM
 
THOR Workshop - Persistent Identifier Linking
THOR Workshop - Persistent Identifier LinkingTHOR Workshop - Persistent Identifier Linking
THOR Workshop - Persistent Identifier LinkingMaaike Duine
 
Why would a publisher care about open data?
Why would a publisher care about open data?Why would a publisher care about open data?
Why would a publisher care about open data?Anita de Waard
 
Link Analysis of Life Sciences Linked Data
Link Analysis of Life Sciences Linked DataLink Analysis of Life Sciences Linked Data
Link Analysis of Life Sciences Linked DataMichel Dumontier
 
Connecting Dataverse with the Research Life Cycle
Connecting Dataverse with the Research Life CycleConnecting Dataverse with the Research Life Cycle
Connecting Dataverse with the Research Life CycleMerce Crosas
 
W3C HCLS Dataset Description Guidelines
W3C HCLS Dataset Description GuidelinesW3C HCLS Dataset Description Guidelines
W3C HCLS Dataset Description GuidelinesMichel Dumontier
 
Open Science Data Repository - the platform for materials research
Open Science Data Repository - the platform for materials researchOpen Science Data Repository - the platform for materials research
Open Science Data Repository - the platform for materials researchValery Tkachenko
 
Dataset Catalogs as a Foundation for FAIR* Data
Dataset Catalogs as a Foundation for FAIR* DataDataset Catalogs as a Foundation for FAIR* Data
Dataset Catalogs as a Foundation for FAIR* DataTom Plasterer
 
Crediting informatics and data folks in life science teams
Crediting informatics and data folks in life science teamsCrediting informatics and data folks in life science teams
Crediting informatics and data folks in life science teamsCarole Goble
 

What's hot (20)

Making it Easier, Possibly Even Pleasant, to Author Rich Experimental Metadata
Making it Easier, Possibly Even Pleasant, to Author Rich Experimental MetadataMaking it Easier, Possibly Even Pleasant, to Author Rich Experimental Metadata
Making it Easier, Possibly Even Pleasant, to Author Rich Experimental Metadata
 
THOR Workshop - Introduction
THOR Workshop - IntroductionTHOR Workshop - Introduction
THOR Workshop - Introduction
 
Data and Donuts: How to write a data management plan
Data and Donuts: How to write a data management planData and Donuts: How to write a data management plan
Data and Donuts: How to write a data management plan
 
TAIR ICAR 2010 Presentation
TAIR ICAR 2010 PresentationTAIR ICAR 2010 Presentation
TAIR ICAR 2010 Presentation
 
THOR Workshop - Data Publishing Elsevier
THOR Workshop - Data Publishing ElsevierTHOR Workshop - Data Publishing Elsevier
THOR Workshop - Data Publishing Elsevier
 
THOR Workshop - Data Publishing
THOR Workshop - Data PublishingTHOR Workshop - Data Publishing
THOR Workshop - Data Publishing
 
THOR Workshop - Data Publishing PLOS
THOR Workshop - Data Publishing PLOSTHOR Workshop - Data Publishing PLOS
THOR Workshop - Data Publishing PLOS
 
Reflections on a (slightly unusual) multi-disciplinary academic career
Reflections on a (slightly unusual) multi-disciplinary academic careerReflections on a (slightly unusual) multi-disciplinary academic career
Reflections on a (slightly unusual) multi-disciplinary academic career
 
Data and Donuts: The Impact of Data Management
Data and Donuts: The Impact of Data ManagementData and Donuts: The Impact of Data Management
Data and Donuts: The Impact of Data Management
 
FAIR Data and Model Management for Systems Biology (and SOPs too!)
FAIR Data and Model Management for Systems Biology(and SOPs too!)FAIR Data and Model Management for Systems Biology(and SOPs too!)
FAIR Data and Model Management for Systems Biology (and SOPs too!)
 
FAIR data and model management for systems biology.
FAIR data and model management for systems biology.FAIR data and model management for systems biology.
FAIR data and model management for systems biology.
 
THOR Workshop - Persistent Identifier Linking
THOR Workshop - Persistent Identifier LinkingTHOR Workshop - Persistent Identifier Linking
THOR Workshop - Persistent Identifier Linking
 
Why would a publisher care about open data?
Why would a publisher care about open data?Why would a publisher care about open data?
Why would a publisher care about open data?
 
Link Analysis of Life Sciences Linked Data
Link Analysis of Life Sciences Linked DataLink Analysis of Life Sciences Linked Data
Link Analysis of Life Sciences Linked Data
 
Connecting Dataverse with the Research Life Cycle
Connecting Dataverse with the Research Life CycleConnecting Dataverse with the Research Life Cycle
Connecting Dataverse with the Research Life Cycle
 
W3C HCLS Dataset Description Guidelines
W3C HCLS Dataset Description GuidelinesW3C HCLS Dataset Description Guidelines
W3C HCLS Dataset Description Guidelines
 
Open Science Data Repository - the platform for materials research
Open Science Data Repository - the platform for materials researchOpen Science Data Repository - the platform for materials research
Open Science Data Repository - the platform for materials research
 
Journal Data Requirements
Journal Data Requirements Journal Data Requirements
Journal Data Requirements
 
Dataset Catalogs as a Foundation for FAIR* Data
Dataset Catalogs as a Foundation for FAIR* DataDataset Catalogs as a Foundation for FAIR* Data
Dataset Catalogs as a Foundation for FAIR* Data
 
Crediting informatics and data folks in life science teams
Crediting informatics and data folks in life science teamsCrediting informatics and data folks in life science teams
Crediting informatics and data folks in life science teams
 

Viewers also liked

Hagedorn, Endresen, O Tuama, Plank 2013: Implementing Semantic Mediawiki as a...
Hagedorn, Endresen, O Tuama, Plank 2013: Implementing Semantic Mediawiki as a...Hagedorn, Endresen, O Tuama, Plank 2013: Implementing Semantic Mediawiki as a...
Hagedorn, Endresen, O Tuama, Plank 2013: Implementing Semantic Mediawiki as a...Gregor Hagedorn
 
pro-iBiosphere 2013-05 Biowikifarm (Gregor Hagedorn)
pro-iBiosphere 2013-05 Biowikifarm (Gregor Hagedorn)pro-iBiosphere 2013-05 Biowikifarm (Gregor Hagedorn)
pro-iBiosphere 2013-05 Biowikifarm (Gregor Hagedorn)Gregor Hagedorn
 
Konferenz Langzeitarchivierung 2015 - eroeffnungsvortrag - nur geteiltes wiss...
Konferenz Langzeitarchivierung 2015 - eroeffnungsvortrag - nur geteiltes wiss...Konferenz Langzeitarchivierung 2015 - eroeffnungsvortrag - nur geteiltes wiss...
Konferenz Langzeitarchivierung 2015 - eroeffnungsvortrag - nur geteiltes wiss...Gregor Hagedorn
 
Agosti Hagedorn Egloff Patterson 2013: Open Access and copyright for taxon na...
Agosti Hagedorn Egloff Patterson 2013: Open Access and copyright for taxon na...Agosti Hagedorn Egloff Patterson 2013: Open Access and copyright for taxon na...
Agosti Hagedorn Egloff Patterson 2013: Open Access and copyright for taxon na...Gregor Hagedorn
 
BHL and Key to Nature - use cases (G. Hagedorn)
BHL and  Key to Nature - use cases (G. Hagedorn)BHL and  Key to Nature - use cases (G. Hagedorn)
BHL and Key to Nature - use cases (G. Hagedorn)Gregor Hagedorn
 
pro-iBiosphere 2013-05 The Cost of Selling Data (Gregor Hagedorn)
pro-iBiosphere 2013-05 The Cost of Selling Data (Gregor Hagedorn)pro-iBiosphere 2013-05 The Cost of Selling Data (Gregor Hagedorn)
pro-iBiosphere 2013-05 The Cost of Selling Data (Gregor Hagedorn)Gregor Hagedorn
 
Hagedorn 2013: Beyond Darwin Core - Stable Identifiers and then quickly beyon...
Hagedorn 2013: Beyond Darwin Core - Stable Identifiers and then quickly beyon...Hagedorn 2013: Beyond Darwin Core - Stable Identifiers and then quickly beyon...
Hagedorn 2013: Beyond Darwin Core - Stable Identifiers and then quickly beyon...Gregor Hagedorn
 
Hype vs. Reality: The AI Explainer
Hype vs. Reality: The AI ExplainerHype vs. Reality: The AI Explainer
Hype vs. Reality: The AI ExplainerLuminary Labs
 

Viewers also liked (8)

Hagedorn, Endresen, O Tuama, Plank 2013: Implementing Semantic Mediawiki as a...
Hagedorn, Endresen, O Tuama, Plank 2013: Implementing Semantic Mediawiki as a...Hagedorn, Endresen, O Tuama, Plank 2013: Implementing Semantic Mediawiki as a...
Hagedorn, Endresen, O Tuama, Plank 2013: Implementing Semantic Mediawiki as a...
 
pro-iBiosphere 2013-05 Biowikifarm (Gregor Hagedorn)
pro-iBiosphere 2013-05 Biowikifarm (Gregor Hagedorn)pro-iBiosphere 2013-05 Biowikifarm (Gregor Hagedorn)
pro-iBiosphere 2013-05 Biowikifarm (Gregor Hagedorn)
 
Konferenz Langzeitarchivierung 2015 - eroeffnungsvortrag - nur geteiltes wiss...
Konferenz Langzeitarchivierung 2015 - eroeffnungsvortrag - nur geteiltes wiss...Konferenz Langzeitarchivierung 2015 - eroeffnungsvortrag - nur geteiltes wiss...
Konferenz Langzeitarchivierung 2015 - eroeffnungsvortrag - nur geteiltes wiss...
 
Agosti Hagedorn Egloff Patterson 2013: Open Access and copyright for taxon na...
Agosti Hagedorn Egloff Patterson 2013: Open Access and copyright for taxon na...Agosti Hagedorn Egloff Patterson 2013: Open Access and copyright for taxon na...
Agosti Hagedorn Egloff Patterson 2013: Open Access and copyright for taxon na...
 
BHL and Key to Nature - use cases (G. Hagedorn)
BHL and  Key to Nature - use cases (G. Hagedorn)BHL and  Key to Nature - use cases (G. Hagedorn)
BHL and Key to Nature - use cases (G. Hagedorn)
 
pro-iBiosphere 2013-05 The Cost of Selling Data (Gregor Hagedorn)
pro-iBiosphere 2013-05 The Cost of Selling Data (Gregor Hagedorn)pro-iBiosphere 2013-05 The Cost of Selling Data (Gregor Hagedorn)
pro-iBiosphere 2013-05 The Cost of Selling Data (Gregor Hagedorn)
 
Hagedorn 2013: Beyond Darwin Core - Stable Identifiers and then quickly beyon...
Hagedorn 2013: Beyond Darwin Core - Stable Identifiers and then quickly beyon...Hagedorn 2013: Beyond Darwin Core - Stable Identifiers and then quickly beyon...
Hagedorn 2013: Beyond Darwin Core - Stable Identifiers and then quickly beyon...
 
Hype vs. Reality: The AI Explainer
Hype vs. Reality: The AI ExplainerHype vs. Reality: The AI Explainer
Hype vs. Reality: The AI Explainer
 

Similar to Linked Open Data and Scientific Knowledge Management

Global RDF Descriptors for Germplasm Data
Global RDF Descriptors for Germplasm DataGlobal RDF Descriptors for Germplasm Data
Global RDF Descriptors for Germplasm DataVassilis Protonotarios
 
FAIRy stories: the FAIR Data principles in theory and in practice
FAIRy stories: the FAIR Data principles in theory and in practiceFAIRy stories: the FAIR Data principles in theory and in practice
FAIRy stories: the FAIR Data principles in theory and in practiceCarole Goble
 
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
 
Being FAIR: FAIR data and model management SSBSS 2017 Summer School
Being FAIR:  FAIR data and model management SSBSS 2017 Summer SchoolBeing FAIR:  FAIR data and model management SSBSS 2017 Summer School
Being FAIR: FAIR data and model management SSBSS 2017 Summer SchoolCarole Goble
 
Linking Open Government Data at Scale
Linking Open Government Data at Scale Linking Open Government Data at Scale
Linking Open Government Data at Scale Bernadette Hyland-Wood
 
eROSA Stakeholder WS1: Data discovery through federated dataset catalogues
eROSA Stakeholder WS1: Data discovery through federated dataset catalogueseROSA Stakeholder WS1: Data discovery through federated dataset catalogues
eROSA Stakeholder WS1: Data discovery through federated dataset cataloguese-ROSA
 
FAIR BioData Management
FAIR BioData ManagementFAIR BioData Management
FAIR BioData ManagementUlrike Wittig
 
Linked Data (1st Linked Data Meetup Malmö)
Linked Data (1st Linked Data Meetup Malmö)Linked Data (1st Linked Data Meetup Malmö)
Linked Data (1st Linked Data Meetup Malmö)Anja Jentzsch
 
Building a Network of Interoperable and Independently Produced Linked and Ope...
Building a Network of Interoperable and Independently Produced Linked and Ope...Building a Network of Interoperable and Independently Produced Linked and Ope...
Building a Network of Interoperable and Independently Produced Linked and Ope...Michel Dumontier
 
Sandra Collins - Building a linked data based content discovery service for t...
Sandra Collins - Building a linked data based content discovery service for t...Sandra Collins - Building a linked data based content discovery service for t...
Sandra Collins - Building a linked data based content discovery service for t...dri_ireland
 
The Future of Semantics on the Web
The Future of Semantics on the WebThe Future of Semantics on the Web
The Future of Semantics on the WebJohn Domingue
 
Building a linked data based content discovery service for the RTÉ Archives
Building a linked data based content discovery service for the RTÉ ArchivesBuilding a linked data based content discovery service for the RTÉ Archives
Building a linked data based content discovery service for the RTÉ ArchivesMediaMixerCommunity
 
DBpedia Mappings Wiki, SMWCon Fall 2013, Berlin
DBpedia Mappings Wiki, SMWCon Fall 2013, BerlinDBpedia Mappings Wiki, SMWCon Fall 2013, Berlin
DBpedia Mappings Wiki, SMWCon Fall 2013, BerlinAnja Jentzsch
 
Data discovery through federated dataset catalogs
Data discovery through federated dataset catalogsData discovery through federated dataset catalogs
Data discovery through federated dataset catalogsValeria Pesce
 
Investigating plant systems using data integration and network analysis
Investigating plant systems using data integration and network analysisInvestigating plant systems using data integration and network analysis
Investigating plant systems using data integration and network analysisCatherine Canevet
 
Open Data - Principles and Techniques
Open Data - Principles and TechniquesOpen Data - Principles and Techniques
Open Data - Principles and TechniquesBernhard Haslhofer
 
2 Discovery and Acquisition of Data1.pptx
2 Discovery and Acquisition of Data1.pptx2 Discovery and Acquisition of Data1.pptx
2 Discovery and Acquisition of Data1.pptxvijayapraba1
 

Similar to Linked Open Data and Scientific Knowledge Management (20)

Introduction of Linked Data for Science
Introduction of Linked Data for ScienceIntroduction of Linked Data for Science
Introduction of Linked Data for Science
 
Global RDF Descriptors for Germplasm Data
Global RDF Descriptors for Germplasm DataGlobal RDF Descriptors for Germplasm Data
Global RDF Descriptors for Germplasm Data
 
FAIRy stories: the FAIR Data principles in theory and in practice
FAIRy stories: the FAIR Data principles in theory and in practiceFAIRy stories: the FAIR Data principles in theory and in practice
FAIRy stories: the FAIR Data principles in theory and in practice
 
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
 
Being FAIR: FAIR data and model management SSBSS 2017 Summer School
Being FAIR:  FAIR data and model management SSBSS 2017 Summer SchoolBeing FAIR:  FAIR data and model management SSBSS 2017 Summer School
Being FAIR: FAIR data and model management SSBSS 2017 Summer School
 
Linking Open Government Data at Scale
Linking Open Government Data at Scale Linking Open Government Data at Scale
Linking Open Government Data at Scale
 
eROSA Stakeholder WS1: Data discovery through federated dataset catalogues
eROSA Stakeholder WS1: Data discovery through federated dataset catalogueseROSA Stakeholder WS1: Data discovery through federated dataset catalogues
eROSA Stakeholder WS1: Data discovery through federated dataset catalogues
 
Linked Data
Linked DataLinked Data
Linked Data
 
FAIR BioData Management
FAIR BioData ManagementFAIR BioData Management
FAIR BioData Management
 
Linked Data (1st Linked Data Meetup Malmö)
Linked Data (1st Linked Data Meetup Malmö)Linked Data (1st Linked Data Meetup Malmö)
Linked Data (1st Linked Data Meetup Malmö)
 
Building a Network of Interoperable and Independently Produced Linked and Ope...
Building a Network of Interoperable and Independently Produced Linked and Ope...Building a Network of Interoperable and Independently Produced Linked and Ope...
Building a Network of Interoperable and Independently Produced Linked and Ope...
 
Sandra Collins - Building a linked data based content discovery service for t...
Sandra Collins - Building a linked data based content discovery service for t...Sandra Collins - Building a linked data based content discovery service for t...
Sandra Collins - Building a linked data based content discovery service for t...
 
The Future of Semantics on the Web
The Future of Semantics on the WebThe Future of Semantics on the Web
The Future of Semantics on the Web
 
Building a linked data based content discovery service for the RTÉ Archives
Building a linked data based content discovery service for the RTÉ ArchivesBuilding a linked data based content discovery service for the RTÉ Archives
Building a linked data based content discovery service for the RTÉ Archives
 
DBpedia Mappings Wiki, SMWCon Fall 2013, Berlin
DBpedia Mappings Wiki, SMWCon Fall 2013, BerlinDBpedia Mappings Wiki, SMWCon Fall 2013, Berlin
DBpedia Mappings Wiki, SMWCon Fall 2013, Berlin
 
Data discovery through federated dataset catalogs
Data discovery through federated dataset catalogsData discovery through federated dataset catalogs
Data discovery through federated dataset catalogs
 
Investigating plant systems using data integration and network analysis
Investigating plant systems using data integration and network analysisInvestigating plant systems using data integration and network analysis
Investigating plant systems using data integration and network analysis
 
Open Data - Principles and Techniques
Open Data - Principles and TechniquesOpen Data - Principles and Techniques
Open Data - Principles and Techniques
 
Semantic Technologies for Big Sciences including Astrophysics
Semantic Technologies for Big Sciences including AstrophysicsSemantic Technologies for Big Sciences including Astrophysics
Semantic Technologies for Big Sciences including Astrophysics
 
2 Discovery and Acquisition of Data1.pptx
2 Discovery and Acquisition of Data1.pptx2 Discovery and Acquisition of Data1.pptx
2 Discovery and Acquisition of Data1.pptx
 

More from Gregor Hagedorn

Haben die Fridays for Future recht? – Ein Statement von Scientists4Future – G...
Haben die Fridays for Future recht? – Ein Statement von Scientists4Future – G...Haben die Fridays for Future recht? – Ein Statement von Scientists4Future – G...
Haben die Fridays for Future recht? – Ein Statement von Scientists4Future – G...Gregor Hagedorn
 
Herausforderung Nachhaltigkeit – NABU Landesverband Berlin (2018-09-17)
Herausforderung Nachhaltigkeit – NABU Landesverband Berlin (2018-09-17)Herausforderung Nachhaltigkeit – NABU Landesverband Berlin (2018-09-17)
Herausforderung Nachhaltigkeit – NABU Landesverband Berlin (2018-09-17)Gregor Hagedorn
 
Focus on Priorities and Impact for Our Sustainable Future (Impact School, Gre...
Focus on Priorities and Impact for Our Sustainable Future (Impact School, Gre...Focus on Priorities and Impact for Our Sustainable Future (Impact School, Gre...
Focus on Priorities and Impact for Our Sustainable Future (Impact School, Gre...Gregor Hagedorn
 
Sustainable Development Goals: Research Communication Ideas to Accelerate the...
Sustainable Development Goals: Research Communication Ideas to Accelerate the...Sustainable Development Goals: Research Communication Ideas to Accelerate the...
Sustainable Development Goals: Research Communication Ideas to Accelerate the...Gregor Hagedorn
 
Quo Vadis Erde - G. Hagedorn, NABU/naturgucker Kongress Kassel 2017-10-07
Quo Vadis Erde - G. Hagedorn,  NABU/naturgucker Kongress Kassel 2017-10-07Quo Vadis Erde - G. Hagedorn,  NABU/naturgucker Kongress Kassel 2017-10-07
Quo Vadis Erde - G. Hagedorn, NABU/naturgucker Kongress Kassel 2017-10-07Gregor Hagedorn
 
Fellowprogramm Freies Wissen - Konferenz Netzpolitik 2017 - Gregor Hagedorn &...
Fellowprogramm Freies Wissen - Konferenz Netzpolitik 2017 - Gregor Hagedorn &...Fellowprogramm Freies Wissen - Konferenz Netzpolitik 2017 - Gregor Hagedorn &...
Fellowprogramm Freies Wissen - Konferenz Netzpolitik 2017 - Gregor Hagedorn &...Gregor Hagedorn
 
Warum wir durch Teilen gewinnen können - Konferenz der Arten 2016-07-01 (Gre...
Warum wir durch Teilen gewinnen können - Konferenz der Arten 2016-07-01  (Gre...Warum wir durch Teilen gewinnen können - Konferenz der Arten 2016-07-01  (Gre...
Warum wir durch Teilen gewinnen können - Konferenz der Arten 2016-07-01 (Gre...Gregor Hagedorn
 

More from Gregor Hagedorn (7)

Haben die Fridays for Future recht? – Ein Statement von Scientists4Future – G...
Haben die Fridays for Future recht? – Ein Statement von Scientists4Future – G...Haben die Fridays for Future recht? – Ein Statement von Scientists4Future – G...
Haben die Fridays for Future recht? – Ein Statement von Scientists4Future – G...
 
Herausforderung Nachhaltigkeit – NABU Landesverband Berlin (2018-09-17)
Herausforderung Nachhaltigkeit – NABU Landesverband Berlin (2018-09-17)Herausforderung Nachhaltigkeit – NABU Landesverband Berlin (2018-09-17)
Herausforderung Nachhaltigkeit – NABU Landesverband Berlin (2018-09-17)
 
Focus on Priorities and Impact for Our Sustainable Future (Impact School, Gre...
Focus on Priorities and Impact for Our Sustainable Future (Impact School, Gre...Focus on Priorities and Impact for Our Sustainable Future (Impact School, Gre...
Focus on Priorities and Impact for Our Sustainable Future (Impact School, Gre...
 
Sustainable Development Goals: Research Communication Ideas to Accelerate the...
Sustainable Development Goals: Research Communication Ideas to Accelerate the...Sustainable Development Goals: Research Communication Ideas to Accelerate the...
Sustainable Development Goals: Research Communication Ideas to Accelerate the...
 
Quo Vadis Erde - G. Hagedorn, NABU/naturgucker Kongress Kassel 2017-10-07
Quo Vadis Erde - G. Hagedorn,  NABU/naturgucker Kongress Kassel 2017-10-07Quo Vadis Erde - G. Hagedorn,  NABU/naturgucker Kongress Kassel 2017-10-07
Quo Vadis Erde - G. Hagedorn, NABU/naturgucker Kongress Kassel 2017-10-07
 
Fellowprogramm Freies Wissen - Konferenz Netzpolitik 2017 - Gregor Hagedorn &...
Fellowprogramm Freies Wissen - Konferenz Netzpolitik 2017 - Gregor Hagedorn &...Fellowprogramm Freies Wissen - Konferenz Netzpolitik 2017 - Gregor Hagedorn &...
Fellowprogramm Freies Wissen - Konferenz Netzpolitik 2017 - Gregor Hagedorn &...
 
Warum wir durch Teilen gewinnen können - Konferenz der Arten 2016-07-01 (Gre...
Warum wir durch Teilen gewinnen können - Konferenz der Arten 2016-07-01  (Gre...Warum wir durch Teilen gewinnen können - Konferenz der Arten 2016-07-01  (Gre...
Warum wir durch Teilen gewinnen können - Konferenz der Arten 2016-07-01 (Gre...
 

Linked Open Data and Scientific Knowledge Management