SlideShare une entreprise Scribd logo
1  sur  13
Linked Data: Summary and Outlook	 Juan F. Sequeda Semantic Technology Conference June 2011
Linked Data is a set of best practices to publish data on the Web
Standardized Data Model (RDF) and Access (HTTP) Integrating Linked Data from different sources is easier compared to integrating data from proprietary Web 2.0 APIs, as Linked Data relies on a standardized data model and standardized data access mechanism, and as data is published in a self-descriptive fashion. Thanks Heath & Bizer
Openness of the Web of Data The Linked Data architecture is open and enables the discovery of new data sources at runtime. This enables applications to automatically take advantage of new data sources as they become available on the Web of Data. Thanks Heath & Bizer
Linked Data Checklist Does your data link to other data sets? Do you provide provenance metadata? Do you provide licensing metadata? Do you reuse common vocabularies? Do you map proprietary vocabulary terms to other common vocabularies? Do you provide other access methods? Thanks Heath & Bizer
Remember, you can apply Linked Data to your intranet! Data Integration
Time to create new and innovative ways to interact with Linked Data New and improved search
What is the Killer App of Semantic Web/Linked Data? What was the killer app of the Web?
This may be one of the Killer Apps that we have all been waiting for http://en.wikipedia.org/wiki/File:Mosaic_browser_plaque_ncsa.jpg
It’s time to partner with HCI community Semantic Web UIs don’t have to be ugly
Semantic Web technologies integrate data across boundaries "National Instruments is currently releasing an internal system based on an RDF triple store.  This technology provides  increased flexibility and agility in managing and accessing data for our complex and ever-evolving product offerings.  With RDF powering one of our key information delivery infrastructures, we will enable greater capabilities at lower total cost that what we have seen with any competing platform."
Hot Research Topics Search and Ranking Interlinking Algorithms Provenance, Trust and Privacy Dataset Dynamics UI Distributed Query Evaluation “You want a good thesis? IR is based on precision and recall. The minute you add semantics, it is a meaningless feature.  Logic is based on soundness and completeness. We don’t want soundness and completeness. We want a few good answers quickly.” – Jim Hendler at WWW2009 during the LOD gathering
THANKS Juan Sequeda www.juansequeda.com @juansequeda Acknowledgements:  ,[object Object]

Contenu connexe

Tendances

One Ontology, One Data Set, Multiple Shapes with SHACL
One Ontology, One Data Set, Multiple Shapes with SHACLOne Ontology, One Data Set, Multiple Shapes with SHACL
One Ontology, One Data Set, Multiple Shapes with SHACL
Connected Data World
 
Semantic Technologies for Big Data
Semantic Technologies for Big DataSemantic Technologies for Big Data
Semantic Technologies for Big Data
Marin Dimitrov
 
Supporting GDPR Compliance through effectively governing Data Lineage and Dat...
Supporting GDPR Compliance through effectively governing Data Lineage and Dat...Supporting GDPR Compliance through effectively governing Data Lineage and Dat...
Supporting GDPR Compliance through effectively governing Data Lineage and Dat...
Connected Data World
 

Tendances (20)

Enterprise Data Governance: Leveraging Knowledge Graph & AI in support of a d...
Enterprise Data Governance: Leveraging Knowledge Graph & AI in support of a d...Enterprise Data Governance: Leveraging Knowledge Graph & AI in support of a d...
Enterprise Data Governance: Leveraging Knowledge Graph & AI in support of a d...
 
Vital AI: Big Data Modeling
Vital AI: Big Data ModelingVital AI: Big Data Modeling
Vital AI: Big Data Modeling
 
Using the Semantic Web Stack to Make Big Data Smarter
Using the Semantic Web Stack to Make  Big Data SmarterUsing the Semantic Web Stack to Make  Big Data Smarter
Using the Semantic Web Stack to Make Big Data Smarter
 
One Ontology, One Data Set, Multiple Shapes with SHACL
One Ontology, One Data Set, Multiple Shapes with SHACLOne Ontology, One Data Set, Multiple Shapes with SHACL
One Ontology, One Data Set, Multiple Shapes with SHACL
 
Semantic Technologies for Big Data
Semantic Technologies for Big DataSemantic Technologies for Big Data
Semantic Technologies for Big Data
 
InfiniteGraph
InfiniteGraphInfiniteGraph
InfiniteGraph
 
Sebastian Hellmann
Sebastian HellmannSebastian Hellmann
Sebastian Hellmann
 
Semantic Web For Dummies
Semantic Web For DummiesSemantic Web For Dummies
Semantic Web For Dummies
 
Connected data meetup group - introduction & scope
Connected data meetup group - introduction & scopeConnected data meetup group - introduction & scope
Connected data meetup group - introduction & scope
 
Building Knowledge Graphs in 10 steps
Building Knowledge Graphs in 10 stepsBuilding Knowledge Graphs in 10 steps
Building Knowledge Graphs in 10 steps
 
Structured Document Search and Retrieval
Structured Document Search and RetrievalStructured Document Search and Retrieval
Structured Document Search and Retrieval
 
Graph db
Graph dbGraph db
Graph db
 
Semantics for Big Data Integration and Analysis
Semantics for Big Data Integration and AnalysisSemantics for Big Data Integration and Analysis
Semantics for Big Data Integration and Analysis
 
Supporting GDPR Compliance through effectively governing Data Lineage and Dat...
Supporting GDPR Compliance through effectively governing Data Lineage and Dat...Supporting GDPR Compliance through effectively governing Data Lineage and Dat...
Supporting GDPR Compliance through effectively governing Data Lineage and Dat...
 
Linked Open Data in the World of Patents
Linked Open Data in the World of Patents Linked Open Data in the World of Patents
Linked Open Data in the World of Patents
 
FIBO & Schema.org
FIBO & Schema.orgFIBO & Schema.org
FIBO & Schema.org
 
Using A Distributed Graph Database To Make Sense Of Disparate Data Stores
Using A Distributed Graph Database To Make Sense Of Disparate Data StoresUsing A Distributed Graph Database To Make Sense Of Disparate Data Stores
Using A Distributed Graph Database To Make Sense Of Disparate Data Stores
 
Linking Open, Big Data Using Semantic Web Technologies - An Introduction
Linking Open, Big Data Using Semantic Web Technologies - An IntroductionLinking Open, Big Data Using Semantic Web Technologies - An Introduction
Linking Open, Big Data Using Semantic Web Technologies - An Introduction
 
How to Reveal Hidden Relationships in Data and Risk Analytics
How to Reveal Hidden Relationships in Data and Risk AnalyticsHow to Reveal Hidden Relationships in Data and Risk Analytics
How to Reveal Hidden Relationships in Data and Risk Analytics
 
Couchbase and Apache Kafka - Bridging the gap between RDBMS and NoSQL
Couchbase and Apache Kafka - Bridging the gap between RDBMS and NoSQLCouchbase and Apache Kafka - Bridging the gap between RDBMS and NoSQL
Couchbase and Apache Kafka - Bridging the gap between RDBMS and NoSQL
 

En vedette

WTF is the Semantic Web
WTF is the Semantic WebWTF is the Semantic Web
WTF is the Semantic Web
Juan Sequeda
 
Drupal 7 and Semantic Web Hands-on Tutorial
Drupal 7 and Semantic Web Hands-on TutorialDrupal 7 and Semantic Web Hands-on Tutorial
Drupal 7 and Semantic Web Hands-on Tutorial
Juan Sequeda
 
Publishing Linked Data 3/5 Semtech2011
Publishing Linked Data 3/5 Semtech2011Publishing Linked Data 3/5 Semtech2011
Publishing Linked Data 3/5 Semtech2011
Juan Sequeda
 
Introduction to Linked Data 1/5
Introduction to Linked Data 1/5Introduction to Linked Data 1/5
Introduction to Linked Data 1/5
Juan Sequeda
 
Consuming Linked Data 4/5 Semtech2011
Consuming Linked Data 4/5 Semtech2011Consuming Linked Data 4/5 Semtech2011
Consuming Linked Data 4/5 Semtech2011
Juan Sequeda
 
Creating Linked Data 2/5 Semtech2011
Creating Linked Data 2/5 Semtech2011Creating Linked Data 2/5 Semtech2011
Creating Linked Data 2/5 Semtech2011
Juan Sequeda
 

En vedette (20)

Linked Data Applications - WWW2010
Linked Data Applications - WWW2010Linked Data Applications - WWW2010
Linked Data Applications - WWW2010
 
Introduction to Linked Data - WWW2010
Introduction to Linked Data - WWW2010 Introduction to Linked Data - WWW2010
Introduction to Linked Data - WWW2010
 
Consuming Linked Data by Humans - WWW2010
Consuming Linked Data by Humans - WWW2010Consuming Linked Data by Humans - WWW2010
Consuming Linked Data by Humans - WWW2010
 
Free Money (a.k.a Fellowships)
Free Money (a.k.a Fellowships)Free Money (a.k.a Fellowships)
Free Money (a.k.a Fellowships)
 
Welcome to Linked Data 0/5 Semtech2011
Welcome to Linked Data 0/5 Semtech2011Welcome to Linked Data 0/5 Semtech2011
Welcome to Linked Data 0/5 Semtech2011
 
Consuming Linked Data by Machines - WWW2010
Consuming Linked Data by Machines - WWW2010Consuming Linked Data by Machines - WWW2010
Consuming Linked Data by Machines - WWW2010
 
Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010Welcome to Consuming Linked Data tutorial WWW2010
Welcome to Consuming Linked Data tutorial WWW2010
 
WTF is the Semantic Web
WTF is the Semantic WebWTF is the Semantic Web
WTF is the Semantic Web
 
Introduccion a la Web Semantica
Introduccion a la Web SemanticaIntroduccion a la Web Semantica
Introduccion a la Web Semantica
 
Drupal 7 and Semantic Web Hands-on Tutorial
Drupal 7 and Semantic Web Hands-on TutorialDrupal 7 and Semantic Web Hands-on Tutorial
Drupal 7 and Semantic Web Hands-on Tutorial
 
What is the Semantic Web
What is the Semantic WebWhat is the Semantic Web
What is the Semantic Web
 
Publishing Linked Data 3/5 Semtech2011
Publishing Linked Data 3/5 Semtech2011Publishing Linked Data 3/5 Semtech2011
Publishing Linked Data 3/5 Semtech2011
 
Open Research Problems in Linked Data - WWW2010
Open Research Problems in Linked Data - WWW2010Open Research Problems in Linked Data - WWW2010
Open Research Problems in Linked Data - WWW2010
 
WTF is the Semantic Web and Linked Data
WTF is the Semantic Web and Linked DataWTF is the Semantic Web and Linked Data
WTF is the Semantic Web and Linked Data
 
Linked Data tutorial at Semtech 2012
Linked Data tutorial at Semtech 2012Linked Data tutorial at Semtech 2012
Linked Data tutorial at Semtech 2012
 
Introduction to Linked Data 1/5
Introduction to Linked Data 1/5Introduction to Linked Data 1/5
Introduction to Linked Data 1/5
 
Consuming Linked Data 4/5 Semtech2011
Consuming Linked Data 4/5 Semtech2011Consuming Linked Data 4/5 Semtech2011
Consuming Linked Data 4/5 Semtech2011
 
How to Get My Paper Accepted at Top Software Engineering Conferences
How to Get My Paper Accepted at Top Software Engineering ConferencesHow to Get My Paper Accepted at Top Software Engineering Conferences
How to Get My Paper Accepted at Top Software Engineering Conferences
 
Consuming Linked Data SemTech2010
Consuming Linked Data SemTech2010Consuming Linked Data SemTech2010
Consuming Linked Data SemTech2010
 
Creating Linked Data 2/5 Semtech2011
Creating Linked Data 2/5 Semtech2011Creating Linked Data 2/5 Semtech2011
Creating Linked Data 2/5 Semtech2011
 

Similaire à Conclusions - Linked Data

Taking A Look At Web Services
Taking A Look At Web ServicesTaking A Look At Web Services
Taking A Look At Web Services
Stacey Cruz
 
Sears web30e connectionartificialintelligence
Sears web30e connectionartificialintelligenceSears web30e connectionartificialintelligence
Sears web30e connectionartificialintelligence
hrpiza
 
Sears web30e connectionartificialintelligence
Sears web30e connectionartificialintelligenceSears web30e connectionartificialintelligence
Sears web30e connectionartificialintelligence
hrpiza
 
Explaining The Semantic Web
Explaining The Semantic WebExplaining The Semantic Web
Explaining The Semantic Web
Aditya Tuli
 
Linked Data Planet Key Note
Linked Data Planet Key NoteLinked Data Planet Key Note
Linked Data Planet Key Note
rumito
 
Spivack Blogtalk 2008
Spivack Blogtalk 2008Spivack Blogtalk 2008
Spivack Blogtalk 2008
Blogtalk 2008
 
Mooc And Document Orientated Nosql Database
Mooc And Document Orientated Nosql DatabaseMooc And Document Orientated Nosql Database
Mooc And Document Orientated Nosql Database
Karen Oliver
 
Lee Feigenbaum Presentation
Lee Feigenbaum PresentationLee Feigenbaum Presentation
Lee Feigenbaum Presentation
Mediabistro
 

Similaire à Conclusions - Linked Data (20)

Linked Data to Improve the OER Experience
Linked Data to Improve the OER ExperienceLinked Data to Improve the OER Experience
Linked Data to Improve the OER Experience
 
Semantic web technology
Semantic web technologySemantic web technology
Semantic web technology
 
Semantic web
Semantic webSemantic web
Semantic web
 
AHM 2014: OceanLink, Smart Data versus Smart Applications
AHM 2014: OceanLink, Smart Data versus Smart Applications AHM 2014: OceanLink, Smart Data versus Smart Applications
AHM 2014: OceanLink, Smart Data versus Smart Applications
 
Taking A Look At Web Services
Taking A Look At Web ServicesTaking A Look At Web Services
Taking A Look At Web Services
 
Sears web30e connectionartificialintelligence
Sears web30e connectionartificialintelligenceSears web30e connectionartificialintelligence
Sears web30e connectionartificialintelligence
 
Sears web30e connectionartificialintelligence
Sears web30e connectionartificialintelligenceSears web30e connectionartificialintelligence
Sears web30e connectionartificialintelligence
 
Semantic web
Semantic webSemantic web
Semantic web
 
Explaining The Semantic Web
Explaining The Semantic WebExplaining The Semantic Web
Explaining The Semantic Web
 
Linked Data Planet Key Note
Linked Data Planet Key NoteLinked Data Planet Key Note
Linked Data Planet Key Note
 
Spivack Blogtalk 2008
Spivack Blogtalk 2008Spivack Blogtalk 2008
Spivack Blogtalk 2008
 
Linked Data for the Masses: The approach and the Software
Linked Data for the Masses: The approach and the SoftwareLinked Data for the Masses: The approach and the Software
Linked Data for the Masses: The approach and the Software
 
Big data data lake and beyond
Big data data lake and beyond Big data data lake and beyond
Big data data lake and beyond
 
1
11
1
 
Mooc And Document Orientated Nosql Database
Mooc And Document Orientated Nosql DatabaseMooc And Document Orientated Nosql Database
Mooc And Document Orientated Nosql Database
 
Lee Feigenbaum Presentation
Lee Feigenbaum PresentationLee Feigenbaum Presentation
Lee Feigenbaum Presentation
 
Linked Open Data_mlanet13
Linked Open Data_mlanet13Linked Open Data_mlanet13
Linked Open Data_mlanet13
 
Data Access and Semantic Interoperability
Data Access and Semantic InteroperabilityData Access and Semantic Interoperability
Data Access and Semantic Interoperability
 
Dr. Christian Kurze from Denodo, "Data Virtualization: Fulfilling the Promise...
Dr. Christian Kurze from Denodo, "Data Virtualization: Fulfilling the Promise...Dr. Christian Kurze from Denodo, "Data Virtualization: Fulfilling the Promise...
Dr. Christian Kurze from Denodo, "Data Virtualization: Fulfilling the Promise...
 
Session 0.0 poster minutes madness
Session 0.0   poster minutes madnessSession 0.0   poster minutes madness
Session 0.0 poster minutes madness
 

Dernier

The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
heathfieldcps1
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
ciinovamais
 
Spellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please PractiseSpellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please Practise
AnaAcapella
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
kauryashika82
 

Dernier (20)

Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 
Spatium Project Simulation student brief
Spatium Project Simulation student briefSpatium Project Simulation student brief
Spatium Project Simulation student brief
 
How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSHow to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POS
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
 
Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdf
 
Asian American Pacific Islander Month DDSD 2024.pptx
Asian American Pacific Islander Month DDSD 2024.pptxAsian American Pacific Islander Month DDSD 2024.pptx
Asian American Pacific Islander Month DDSD 2024.pptx
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
 
Understanding Accommodations and Modifications
Understanding  Accommodations and ModificationsUnderstanding  Accommodations and Modifications
Understanding Accommodations and Modifications
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.
 
Spellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please PractiseSpellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please Practise
 
Dyslexia AI Workshop for Slideshare.pptx
Dyslexia AI Workshop for Slideshare.pptxDyslexia AI Workshop for Slideshare.pptx
Dyslexia AI Workshop for Slideshare.pptx
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
 
PROCESS RECORDING FORMAT.docx
PROCESS      RECORDING        FORMAT.docxPROCESS      RECORDING        FORMAT.docx
PROCESS RECORDING FORMAT.docx
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptx
 

Conclusions - Linked Data

  • 1. Linked Data: Summary and Outlook Juan F. Sequeda Semantic Technology Conference June 2011
  • 2. Linked Data is a set of best practices to publish data on the Web
  • 3. Standardized Data Model (RDF) and Access (HTTP) Integrating Linked Data from different sources is easier compared to integrating data from proprietary Web 2.0 APIs, as Linked Data relies on a standardized data model and standardized data access mechanism, and as data is published in a self-descriptive fashion. Thanks Heath & Bizer
  • 4. Openness of the Web of Data The Linked Data architecture is open and enables the discovery of new data sources at runtime. This enables applications to automatically take advantage of new data sources as they become available on the Web of Data. Thanks Heath & Bizer
  • 5. Linked Data Checklist Does your data link to other data sets? Do you provide provenance metadata? Do you provide licensing metadata? Do you reuse common vocabularies? Do you map proprietary vocabulary terms to other common vocabularies? Do you provide other access methods? Thanks Heath & Bizer
  • 6. Remember, you can apply Linked Data to your intranet! Data Integration
  • 7. Time to create new and innovative ways to interact with Linked Data New and improved search
  • 8. What is the Killer App of Semantic Web/Linked Data? What was the killer app of the Web?
  • 9. This may be one of the Killer Apps that we have all been waiting for http://en.wikipedia.org/wiki/File:Mosaic_browser_plaque_ncsa.jpg
  • 10. It’s time to partner with HCI community Semantic Web UIs don’t have to be ugly
  • 11. Semantic Web technologies integrate data across boundaries "National Instruments is currently releasing an internal system based on an RDF triple store. This technology provides increased flexibility and agility in managing and accessing data for our complex and ever-evolving product offerings. With RDF powering one of our key information delivery infrastructures, we will enable greater capabilities at lower total cost that what we have seen with any competing platform."
  • 12. Hot Research Topics Search and Ranking Interlinking Algorithms Provenance, Trust and Privacy Dataset Dynamics UI Distributed Query Evaluation “You want a good thesis? IR is based on precision and recall. The minute you add semantics, it is a meaningless feature. Logic is based on soundness and completeness. We don’t want soundness and completeness. We want a few good answers quickly.” – Jim Hendler at WWW2009 during the LOD gathering
  • 13.
  • 14. Olaf Hartig – Humboldt University Berlin
  • 17. Tom Heath & Chris Bizer
  • 18. Linked Data: Evolving the Web into a Global Data Space