SlideShare a Scribd company logo

Semantic web: where are we now?

H
horvadam

Introduction to semantic web. The first results in publication of library data into the semantic web at the National Széchényi Libary (National Library of Hungary)

1 of 56
Download to read offline
Semantic web: where are weSemantic web: where are we
now?now?
ADLUG Users Group MeetingADLUG Users Group Meeting
Bilbao, 16-18 September, 2009Bilbao, 16-18 September, 2009
ÁdámÁdám HorváthHorváth
NSZLNSZL
2 Semantic web: where are we
ContentsContents
TutorialTutorial
Where are we now?Where are we now?
3 Semantic web: where are we
Linked data on the webLinked data on the web
Use RDF data modelUse RDF data model
Use RDF linksUse RDF links
Web of Data or Semantic WebWeb of Data or Semantic Web
Linked Data browsersLinked Data browsers
Linked Data provides a single,Linked Data provides a single,
standardised access mechanismstandardised access mechanism
(compared to APIs)(compared to APIs)
4 Semantic web: where are we
Advantage of Linked DataAdvantage of Linked Data
Linked Data provides a single,Linked Data provides a single,
standardised access mechanismstandardised access mechanism
– Easily crawlableEasily crawlable
– Accessible using generic data browserAccessible using generic data browserss
– Enables link between data from differentEnables link between data from different
data sourcesdata sources
5 Semantic web: where are we
Web architecture : resourcesWeb architecture : resources
We have to identify the items of interestWe have to identify the items of interest
in our domainin our domain
All items of interest are calledAll items of interest are called
resourcesresources
– Information resources (everything in theInformation resources (everything in the
traditional web)traditional web)
– Non-information resources (real worldNon-information resources (real world
objects, things)objects, things)
6 Semantic web: where are we
Web architecture : resourcesWeb architecture : resources
identifiersidentifiers
 Uniform Resource Identifiers (URIs)Uniform Resource Identifiers (URIs)
HTTP URIHTTP URI
– Not URN, DOI and so onNot URN, DOI and so on
Why HTTP URIWhy HTTP URI
– Simple way of creating globally uniqueSimple way of creating globally unique
identifier without centralised managementidentifier without centralised management
– Can also be used for accessing humanCan also be used for accessing human
readable information (information on thereadable information (information on the
Web)Web)

Recommended

Inference on the Semantic Web
Inference on the Semantic WebInference on the Semantic Web
Inference on the Semantic WebMyungjin Lee
 
Linked data for librarians
Linked data for librariansLinked data for librarians
Linked data for librarianstrevorthornton
 
Linked Data MLA 2015
Linked Data MLA 2015Linked Data MLA 2015
Linked Data MLA 2015Cason Snow
 
Linked data MLA 2015
Linked data MLA 2015Linked data MLA 2015
Linked data MLA 2015Cason Snow
 
Linked Data Tutorial
Linked Data TutorialLinked Data Tutorial
Linked Data TutorialSören Auer
 
Linked Data Usecases
Linked Data UsecasesLinked Data Usecases
Linked Data UsecasesMyungjin Lee
 
A Semantic Data Model for Web Applications
A Semantic Data Model for Web ApplicationsA Semantic Data Model for Web Applications
A Semantic Data Model for Web ApplicationsArmin Haller
 

More Related Content

What's hot

Linked Data Tutorial
Linked Data TutorialLinked Data Tutorial
Linked Data Tutorialtomasknap
 
RDFa Introductory Course Session 2/4 How RDFa
RDFa Introductory Course Session 2/4 How RDFaRDFa Introductory Course Session 2/4 How RDFa
RDFa Introductory Course Session 2/4 How RDFaPlatypus
 
Usage of Linked Data: Introduction and Application Scenarios
Usage of Linked Data: Introduction and Application ScenariosUsage of Linked Data: Introduction and Application Scenarios
Usage of Linked Data: Introduction and Application ScenariosEUCLID project
 
Get on the Linked Data Web!
Get on the Linked Data Web!Get on the Linked Data Web!
Get on the Linked Data Web!Armin Haller
 
Archives Hub - Data in :: Data out
Archives Hub - Data in :: Data outArchives Hub - Data in :: Data out
Archives Hub - Data in :: Data outJane Stevenson
 
WWW2014 Overview of W3C Linked Data Platform 20140410
WWW2014 Overview of W3C Linked Data Platform 20140410WWW2014 Overview of W3C Linked Data Platform 20140410
WWW2014 Overview of W3C Linked Data Platform 20140410Arnaud Le Hors
 
RDF and Open Linked Data, a first approach
RDF and Open Linked Data, a first approachRDF and Open Linked Data, a first approach
RDF and Open Linked Data, a first approachhorvadam
 
The Bounties of Semantic Data Integration for the Enterprise
The Bounties of Semantic Data Integration for the Enterprise The Bounties of Semantic Data Integration for the Enterprise
The Bounties of Semantic Data Integration for the Enterprise Ontotext
 
Lotus: Linked Open Text UnleaShed - ISWC COLD '15
Lotus: Linked Open Text UnleaShed - ISWC COLD '15Lotus: Linked Open Text UnleaShed - ISWC COLD '15
Lotus: Linked Open Text UnleaShed - ISWC COLD '15Filip Ilievski
 
LOTUS: Adaptive Text Search for Big Linked Data
LOTUS: Adaptive Text Search for Big Linked DataLOTUS: Adaptive Text Search for Big Linked Data
LOTUS: Adaptive Text Search for Big Linked DataFilip Ilievski
 
AAT LOD Microthesauri
AAT LOD MicrothesauriAAT LOD Microthesauri
AAT LOD MicrothesauriMarcia Zeng
 
Open hpi semweb-06-part4
Open hpi semweb-06-part4Open hpi semweb-06-part4
Open hpi semweb-06-part4Nadine Ludwig
 
RDFa Introductory Course Session 3/4 Why RDFa
RDFa Introductory Course Session 3/4 Why RDFaRDFa Introductory Course Session 3/4 Why RDFa
RDFa Introductory Course Session 3/4 Why RDFaPlatypus
 
Resource description framework
Resource description frameworkResource description framework
Resource description frameworkStanley Wang
 
First Steps in Semantic Data Modelling and Search & Analytics in the Cloud
First Steps in Semantic Data Modelling and Search & Analytics in the CloudFirst Steps in Semantic Data Modelling and Search & Analytics in the Cloud
First Steps in Semantic Data Modelling and Search & Analytics in the CloudOntotext
 

What's hot (20)

Linked Data Tutorial
Linked Data TutorialLinked Data Tutorial
Linked Data Tutorial
 
RDFa Introductory Course Session 2/4 How RDFa
RDFa Introductory Course Session 2/4 How RDFaRDFa Introductory Course Session 2/4 How RDFa
RDFa Introductory Course Session 2/4 How RDFa
 
Hacia la Internet del Futuro: Web Semántica y Open Linked Data, Parte 2
Hacia la Internet del Futuro: Web Semántica y Open Linked Data, Parte 2Hacia la Internet del Futuro: Web Semántica y Open Linked Data, Parte 2
Hacia la Internet del Futuro: Web Semántica y Open Linked Data, Parte 2
 
RDFa Tutorial
RDFa TutorialRDFa Tutorial
RDFa Tutorial
 
Web of Data Usage Mining
Web of Data Usage MiningWeb of Data Usage Mining
Web of Data Usage Mining
 
Usage of Linked Data: Introduction and Application Scenarios
Usage of Linked Data: Introduction and Application ScenariosUsage of Linked Data: Introduction and Application Scenarios
Usage of Linked Data: Introduction and Application Scenarios
 
Semantic Web and Linked Open Data
Semantic Web and Linked Open DataSemantic Web and Linked Open Data
Semantic Web and Linked Open Data
 
Get on the Linked Data Web!
Get on the Linked Data Web!Get on the Linked Data Web!
Get on the Linked Data Web!
 
Introduction to RDF
Introduction to RDFIntroduction to RDF
Introduction to RDF
 
Archives Hub - Data in :: Data out
Archives Hub - Data in :: Data outArchives Hub - Data in :: Data out
Archives Hub - Data in :: Data out
 
WWW2014 Overview of W3C Linked Data Platform 20140410
WWW2014 Overview of W3C Linked Data Platform 20140410WWW2014 Overview of W3C Linked Data Platform 20140410
WWW2014 Overview of W3C Linked Data Platform 20140410
 
RDF and Open Linked Data, a first approach
RDF and Open Linked Data, a first approachRDF and Open Linked Data, a first approach
RDF and Open Linked Data, a first approach
 
The Bounties of Semantic Data Integration for the Enterprise
The Bounties of Semantic Data Integration for the Enterprise The Bounties of Semantic Data Integration for the Enterprise
The Bounties of Semantic Data Integration for the Enterprise
 
Lotus: Linked Open Text UnleaShed - ISWC COLD '15
Lotus: Linked Open Text UnleaShed - ISWC COLD '15Lotus: Linked Open Text UnleaShed - ISWC COLD '15
Lotus: Linked Open Text UnleaShed - ISWC COLD '15
 
LOTUS: Adaptive Text Search for Big Linked Data
LOTUS: Adaptive Text Search for Big Linked DataLOTUS: Adaptive Text Search for Big Linked Data
LOTUS: Adaptive Text Search for Big Linked Data
 
AAT LOD Microthesauri
AAT LOD MicrothesauriAAT LOD Microthesauri
AAT LOD Microthesauri
 
Open hpi semweb-06-part4
Open hpi semweb-06-part4Open hpi semweb-06-part4
Open hpi semweb-06-part4
 
RDFa Introductory Course Session 3/4 Why RDFa
RDFa Introductory Course Session 3/4 Why RDFaRDFa Introductory Course Session 3/4 Why RDFa
RDFa Introductory Course Session 3/4 Why RDFa
 
Resource description framework
Resource description frameworkResource description framework
Resource description framework
 
First Steps in Semantic Data Modelling and Search & Analytics in the Cloud
First Steps in Semantic Data Modelling and Search & Analytics in the CloudFirst Steps in Semantic Data Modelling and Search & Analytics in the Cloud
First Steps in Semantic Data Modelling and Search & Analytics in the Cloud
 

Similar to Semantic web: where are we now?

Linked data HHS 2015
Linked data HHS 2015Linked data HHS 2015
Linked data HHS 2015Cason Snow
 
Deploying RDF Linked Data via Virtuoso Universal Server
Deploying RDF Linked Data via Virtuoso Universal ServerDeploying RDF Linked Data via Virtuoso Universal Server
Deploying RDF Linked Data via Virtuoso Universal Serverrumito
 
Linked data for Enterprise Data Integration
Linked data for Enterprise Data IntegrationLinked data for Enterprise Data Integration
Linked data for Enterprise Data IntegrationSören Auer
 
2010 06 ipaw_prv
2010 06 ipaw_prv2010 06 ipaw_prv
2010 06 ipaw_prvJun Zhao
 
Linked Data Technology and Status
Linked Data Technology and StatusLinked Data Technology and Status
Linked Data Technology and StatusMyungjin Lee
 
PoolParty SKOS and Linked Data
PoolParty SKOS and Linked DataPoolParty SKOS and Linked Data
PoolParty SKOS and Linked DataAndreas Blumauer
 
From Linked Documentary Resources to Linked Computational Resources
From Linked Documentary Resources to Linked Computational ResourcesFrom Linked Documentary Resources to Linked Computational Resources
From Linked Documentary Resources to Linked Computational ResourcesPhiloWeb
 
Introduction to linked data
Introduction to linked dataIntroduction to linked data
Introduction to linked dataLaura Po
 
From Structured Data to Linked Open Governmental Data
From Structured Data to Linked Open Governmental DataFrom Structured Data to Linked Open Governmental Data
From Structured Data to Linked Open Governmental DataDongpo Deng
 
Engineering a Semantic Web: ITWS Capstone Lecture (Spring 2014)
Engineering a Semantic Web: ITWS Capstone Lecture (Spring 2014)Engineering a Semantic Web: ITWS Capstone Lecture (Spring 2014)
Engineering a Semantic Web: ITWS Capstone Lecture (Spring 2014)Rensselaer Polytechnic Institute
 
OpenCalais in Linked Data context
OpenCalais in Linked Data contextOpenCalais in Linked Data context
OpenCalais in Linked Data contexteldorina
 
Semantic Web - Lecture 09 - Web Information Systems (4011474FNR)
Semantic Web - Lecture 09 - Web Information Systems (4011474FNR)Semantic Web - Lecture 09 - Web Information Systems (4011474FNR)
Semantic Web - Lecture 09 - Web Information Systems (4011474FNR)Beat Signer
 
It19 20140721 linked data personal perspective
It19 20140721 linked data personal perspectiveIt19 20140721 linked data personal perspective
It19 20140721 linked data personal perspectiveJanifer Gatenby
 
Lifting the Lid on Linked Data
Lifting the Lid on Linked DataLifting the Lid on Linked Data
Lifting the Lid on Linked DataJane Stevenson
 

Similar to Semantic web: where are we now? (20)

Linked data HHS 2015
Linked data HHS 2015Linked data HHS 2015
Linked data HHS 2015
 
Linking up your data
Linking up your dataLinking up your data
Linking up your data
 
Linked Data
Linked DataLinked Data
Linked Data
 
Deploying RDF Linked Data via Virtuoso Universal Server
Deploying RDF Linked Data via Virtuoso Universal ServerDeploying RDF Linked Data via Virtuoso Universal Server
Deploying RDF Linked Data via Virtuoso Universal Server
 
Linked data for Enterprise Data Integration
Linked data for Enterprise Data IntegrationLinked data for Enterprise Data Integration
Linked data for Enterprise Data Integration
 
Linked Data
Linked DataLinked Data
Linked Data
 
2010 06 ipaw_prv
2010 06 ipaw_prv2010 06 ipaw_prv
2010 06 ipaw_prv
 
Linked Data Technology and Status
Linked Data Technology and StatusLinked Data Technology and Status
Linked Data Technology and Status
 
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
 
PoolParty SKOS and Linked Data
PoolParty SKOS and Linked DataPoolParty SKOS and Linked Data
PoolParty SKOS and Linked Data
 
From Linked Documentary Resources to Linked Computational Resources
From Linked Documentary Resources to Linked Computational ResourcesFrom Linked Documentary Resources to Linked Computational Resources
From Linked Documentary Resources to Linked Computational Resources
 
Introduction to linked data
Introduction to linked dataIntroduction to linked data
Introduction to linked data
 
From Structured Data to Linked Open Governmental Data
From Structured Data to Linked Open Governmental DataFrom Structured Data to Linked Open Governmental Data
From Structured Data to Linked Open Governmental Data
 
Engineering a Semantic Web: ITWS Capstone Lecture (Spring 2014)
Engineering a Semantic Web: ITWS Capstone Lecture (Spring 2014)Engineering a Semantic Web: ITWS Capstone Lecture (Spring 2014)
Engineering a Semantic Web: ITWS Capstone Lecture (Spring 2014)
 
ITWS Capstone: Engineering a Semantic Web (Fall 2022)
ITWS Capstone: Engineering a Semantic Web (Fall 2022)ITWS Capstone: Engineering a Semantic Web (Fall 2022)
ITWS Capstone: Engineering a Semantic Web (Fall 2022)
 
Linked (Open) Data
Linked (Open) DataLinked (Open) Data
Linked (Open) Data
 
OpenCalais in Linked Data context
OpenCalais in Linked Data contextOpenCalais in Linked Data context
OpenCalais in Linked Data context
 
Semantic Web - Lecture 09 - Web Information Systems (4011474FNR)
Semantic Web - Lecture 09 - Web Information Systems (4011474FNR)Semantic Web - Lecture 09 - Web Information Systems (4011474FNR)
Semantic Web - Lecture 09 - Web Information Systems (4011474FNR)
 
It19 20140721 linked data personal perspective
It19 20140721 linked data personal perspectiveIt19 20140721 linked data personal perspective
It19 20140721 linked data personal perspective
 
Lifting the Lid on Linked Data
Lifting the Lid on Linked DataLifting the Lid on Linked Data
Lifting the Lid on Linked Data
 

More from horvadam

A szemantikus web és a könyvtárak, különös tekintettel a BIBFRAME formátumra
A szemantikus web és a könyvtárak, különös tekintettel a BIBFRAME formátumraA szemantikus web és a könyvtárak, különös tekintettel a BIBFRAME formátumra
A szemantikus web és a könyvtárak, különös tekintettel a BIBFRAME formátumrahorvadam
 
Szemantikus web
Szemantikus webSzemantikus web
Szemantikus webhorvadam
 
Személynevek a szemantikus térben
Személynevek a szemantikus térbenSzemélynevek a szemantikus térben
Személynevek a szemantikus térbenhorvadam
 
Az aggregáció általános modellje : Synergy modell
Az aggregáció általános modellje : Synergy modellAz aggregáció általános modellje : Synergy modell
Az aggregáció általános modellje : Synergy modellhorvadam
 
Urn oszkkm 01
Urn oszkkm 01Urn oszkkm 01
Urn oszkkm 01horvadam
 
TELplus és EDLnet úton az Európai Digitális Könyvtár felé - Múzeumok az EURO...
TELplus és EDLnet úton az EurópaiDigitális Könyvtár felé - Múzeumok az EURO...TELplus és EDLnet úton az EurópaiDigitális Könyvtár felé - Múzeumok az EURO...
TELplus és EDLnet úton az Európai Digitális Könyvtár felé - Múzeumok az EURO...horvadam
 
NBN:URN Generator and Resolver
NBN:URN Generator and ResolverNBN:URN Generator and Resolver
NBN:URN Generator and Resolverhorvadam
 
ZING: the Next Generation of Z39.50
ZING: the Next Generation of Z39.50ZING: the Next Generation of Z39.50
ZING: the Next Generation of Z39.50horvadam
 
Automation at the National Széchényi Library
Automation at the National Széchényi LibraryAutomation at the National Széchényi Library
Automation at the National Széchényi Libraryhorvadam
 
First steps towards publishing library data on the semantic web
First steps towards publishing library data on the semantic webFirst steps towards publishing library data on the semantic web
First steps towards publishing library data on the semantic webhorvadam
 
FRBR in a simplified way : Status report
FRBR in a simplified way : Status reportFRBR in a simplified way : Status report
FRBR in a simplified way : Status reporthorvadam
 
WEB2 developments at the National Széchényi Library
WEB2 developments at the National Széchényi LibraryWEB2 developments at the National Széchényi Library
WEB2 developments at the National Széchényi Libraryhorvadam
 
LibriVision via the OpenSocial protocol
LibriVision via the OpenSocial protocolLibriVision via the OpenSocial protocol
LibriVision via the OpenSocial protocolhorvadam
 
Catalogue enrichment in LibriVision
Catalogue enrichment in LibriVision Catalogue enrichment in LibriVision
Catalogue enrichment in LibriVision horvadam
 
Az RFID bevezetésének kérdései
Az RFID bevezetésének kérdéseiAz RFID bevezetésének kérdései
Az RFID bevezetésének kérdéseihorvadam
 
Linked Data at the National Széchényi Library : road to the publication
Linked Data at the National Széchényi Library : road to the publicationLinked Data at the National Széchényi Library : road to the publication
Linked Data at the National Széchényi Library : road to the publicationhorvadam
 
Szemantikus web és a könyvtárak
Szemantikus web és a könyvtárakSzemantikus web és a könyvtárak
Szemantikus web és a könyvtárakhorvadam
 
Szemantikus web és a könyvtárak
Szemantikus web és a könyvtárakSzemantikus web és a könyvtárak
Szemantikus web és a könyvtárakhorvadam
 
Linked Open Data
Linked Open DataLinked Open Data
Linked Open Datahorvadam
 

More from horvadam (20)

A szemantikus web és a könyvtárak, különös tekintettel a BIBFRAME formátumra
A szemantikus web és a könyvtárak, különös tekintettel a BIBFRAME formátumraA szemantikus web és a könyvtárak, különös tekintettel a BIBFRAME formátumra
A szemantikus web és a könyvtárak, különös tekintettel a BIBFRAME formátumra
 
Szemantikus web
Szemantikus webSzemantikus web
Szemantikus web
 
Személynevek a szemantikus térben
Személynevek a szemantikus térbenSzemélynevek a szemantikus térben
Személynevek a szemantikus térben
 
Az aggregáció általános modellje : Synergy modell
Az aggregáció általános modellje : Synergy modellAz aggregáció általános modellje : Synergy modell
Az aggregáció általános modellje : Synergy modell
 
Urn oszkkm 01
Urn oszkkm 01Urn oszkkm 01
Urn oszkkm 01
 
TELplus és EDLnet úton az Európai Digitális Könyvtár felé - Múzeumok az EURO...
TELplus és EDLnet úton az EurópaiDigitális Könyvtár felé - Múzeumok az EURO...TELplus és EDLnet úton az EurópaiDigitális Könyvtár felé - Múzeumok az EURO...
TELplus és EDLnet úton az Európai Digitális Könyvtár felé - Múzeumok az EURO...
 
RDA
RDARDA
RDA
 
NBN:URN Generator and Resolver
NBN:URN Generator and ResolverNBN:URN Generator and Resolver
NBN:URN Generator and Resolver
 
ZING: the Next Generation of Z39.50
ZING: the Next Generation of Z39.50ZING: the Next Generation of Z39.50
ZING: the Next Generation of Z39.50
 
Automation at the National Széchényi Library
Automation at the National Széchényi LibraryAutomation at the National Széchényi Library
Automation at the National Széchényi Library
 
First steps towards publishing library data on the semantic web
First steps towards publishing library data on the semantic webFirst steps towards publishing library data on the semantic web
First steps towards publishing library data on the semantic web
 
FRBR in a simplified way : Status report
FRBR in a simplified way : Status reportFRBR in a simplified way : Status report
FRBR in a simplified way : Status report
 
WEB2 developments at the National Széchényi Library
WEB2 developments at the National Széchényi LibraryWEB2 developments at the National Széchényi Library
WEB2 developments at the National Széchényi Library
 
LibriVision via the OpenSocial protocol
LibriVision via the OpenSocial protocolLibriVision via the OpenSocial protocol
LibriVision via the OpenSocial protocol
 
Catalogue enrichment in LibriVision
Catalogue enrichment in LibriVision Catalogue enrichment in LibriVision
Catalogue enrichment in LibriVision
 
Az RFID bevezetésének kérdései
Az RFID bevezetésének kérdéseiAz RFID bevezetésének kérdései
Az RFID bevezetésének kérdései
 
Linked Data at the National Széchényi Library : road to the publication
Linked Data at the National Széchényi Library : road to the publicationLinked Data at the National Széchényi Library : road to the publication
Linked Data at the National Széchényi Library : road to the publication
 
Szemantikus web és a könyvtárak
Szemantikus web és a könyvtárakSzemantikus web és a könyvtárak
Szemantikus web és a könyvtárak
 
Szemantikus web és a könyvtárak
Szemantikus web és a könyvtárakSzemantikus web és a könyvtárak
Szemantikus web és a könyvtárak
 
Linked Open Data
Linked Open DataLinked Open Data
Linked Open Data
 

Recently uploaded

Improving IT Investment Decisions and Business Outcomes with Integrated Enter...
Improving IT Investment Decisions and Business Outcomes with Integrated Enter...Improving IT Investment Decisions and Business Outcomes with Integrated Enter...
Improving IT Investment Decisions and Business Outcomes with Integrated Enter...Cprime
 
Python For Kids - Sách Lập trình cho trẻ em
Python For Kids - Sách Lập trình cho trẻ emPython For Kids - Sách Lập trình cho trẻ em
Python For Kids - Sách Lập trình cho trẻ emNho Vĩnh
 
LF Energy Webinar: Introduction to TROLIE
LF Energy Webinar: Introduction to TROLIELF Energy Webinar: Introduction to TROLIE
LF Energy Webinar: Introduction to TROLIEDanBrown980551
 
Establishing data sharing standards to promote global industry development
Establishing data sharing standards to promote global industry developmentEstablishing data sharing standards to promote global industry development
Establishing data sharing standards to promote global industry developmentThorsten Huelsmann
 
Building Bridges: Merging RPA Processes, UiPath Apps, and Data Service to bu...
Building Bridges:  Merging RPA Processes, UiPath Apps, and Data Service to bu...Building Bridges:  Merging RPA Processes, UiPath Apps, and Data Service to bu...
Building Bridges: Merging RPA Processes, UiPath Apps, and Data Service to bu...DianaGray10
 
Relationship Counselling: From Disjointed Features to Product-First Thinking ...
Relationship Counselling: From Disjointed Features to Product-First Thinking ...Relationship Counselling: From Disjointed Features to Product-First Thinking ...
Relationship Counselling: From Disjointed Features to Product-First Thinking ...Product School
 
PrismCRM-RealEstate-SalesCRM_byCode5Company
PrismCRM-RealEstate-SalesCRM_byCode5CompanyPrismCRM-RealEstate-SalesCRM_byCode5Company
PrismCRM-RealEstate-SalesCRM_byCode5CompanyMustafa Kuğu
 
HBR SERIES METAL HOUSED RESISTORS POWER ELECTRICAL ABSORBS HIGH CURRENT DURIN...
HBR SERIES METAL HOUSED RESISTORS POWER ELECTRICAL ABSORBS HIGH CURRENT DURIN...HBR SERIES METAL HOUSED RESISTORS POWER ELECTRICAL ABSORBS HIGH CURRENT DURIN...
HBR SERIES METAL HOUSED RESISTORS POWER ELECTRICAL ABSORBS HIGH CURRENT DURIN...htrindia
 
Pragmatic UI testing with Compose Semantics.pdf
Pragmatic UI testing with Compose Semantics.pdfPragmatic UI testing with Compose Semantics.pdf
Pragmatic UI testing with Compose Semantics.pdfinfogdgmi
 
ASTRAZENECA. Knowledge Graphs Powering a Fast-moving Global Life Sciences Org...
ASTRAZENECA. Knowledge Graphs Powering a Fast-moving Global Life Sciences Org...ASTRAZENECA. Knowledge Graphs Powering a Fast-moving Global Life Sciences Org...
ASTRAZENECA. Knowledge Graphs Powering a Fast-moving Global Life Sciences Org...Neo4j
 
Introducing the New FME Community Webinar - Feb 21, 2024 (2).pdf
Introducing the New FME Community Webinar - Feb 21, 2024 (2).pdfIntroducing the New FME Community Webinar - Feb 21, 2024 (2).pdf
Introducing the New FME Community Webinar - Feb 21, 2024 (2).pdfSafe Software
 
The Art of the Possible with Graph by Dr Jim Webber Neo4j.pptx
The Art of the Possible with Graph by Dr Jim Webber Neo4j.pptxThe Art of the Possible with Graph by Dr Jim Webber Neo4j.pptx
The Art of the Possible with Graph by Dr Jim Webber Neo4j.pptxNeo4j
 
Q4 2023 Quarterly Investor Presentation - FINAL.pdf
Q4 2023 Quarterly Investor Presentation - FINAL.pdfQ4 2023 Quarterly Investor Presentation - FINAL.pdf
Q4 2023 Quarterly Investor Presentation - FINAL.pdfTejal81
 
Leonis Insights: The State of AI (7 trends for 2023 and 7 predictions for 2024)
Leonis Insights: The State of AI (7 trends for 2023 and 7 predictions for 2024)Leonis Insights: The State of AI (7 trends for 2023 and 7 predictions for 2024)
Leonis Insights: The State of AI (7 trends for 2023 and 7 predictions for 2024)Jay Zhao
 
How AI and ChatGPT are changing cybersecurity forever.pptx
How AI and ChatGPT are changing cybersecurity forever.pptxHow AI and ChatGPT are changing cybersecurity forever.pptx
How AI and ChatGPT are changing cybersecurity forever.pptxInfosec
 
Act Like an Owner, Challenge Like a VC by former CPO, Tripadvisor
Act Like an Owner,  Challenge Like a VC by former CPO, TripadvisorAct Like an Owner,  Challenge Like a VC by former CPO, Tripadvisor
Act Like an Owner, Challenge Like a VC by former CPO, TripadvisorProduct School
 
Enterprise Architecture As Strategy - Book Review
Enterprise Architecture As Strategy - Book ReviewEnterprise Architecture As Strategy - Book Review
Enterprise Architecture As Strategy - Book ReviewAshraf Fouad
 
Huntly presentation deck design for Behance
Huntly presentation deck design for BehanceHuntly presentation deck design for Behance
Huntly presentation deck design for Behancewhalesdesign
 
Roundtable_-_API_Research__Testing_Tools.pdf
Roundtable_-_API_Research__Testing_Tools.pdfRoundtable_-_API_Research__Testing_Tools.pdf
Roundtable_-_API_Research__Testing_Tools.pdfMostafa Higazy
 
National Institute of Standards and Technology (NIST) Cybersecurity Framework...
National Institute of Standards and Technology (NIST) Cybersecurity Framework...National Institute of Standards and Technology (NIST) Cybersecurity Framework...
National Institute of Standards and Technology (NIST) Cybersecurity Framework...MichaelBenis1
 

Recently uploaded (20)

Improving IT Investment Decisions and Business Outcomes with Integrated Enter...
Improving IT Investment Decisions and Business Outcomes with Integrated Enter...Improving IT Investment Decisions and Business Outcomes with Integrated Enter...
Improving IT Investment Decisions and Business Outcomes with Integrated Enter...
 
Python For Kids - Sách Lập trình cho trẻ em
Python For Kids - Sách Lập trình cho trẻ emPython For Kids - Sách Lập trình cho trẻ em
Python For Kids - Sách Lập trình cho trẻ em
 
LF Energy Webinar: Introduction to TROLIE
LF Energy Webinar: Introduction to TROLIELF Energy Webinar: Introduction to TROLIE
LF Energy Webinar: Introduction to TROLIE
 
Establishing data sharing standards to promote global industry development
Establishing data sharing standards to promote global industry developmentEstablishing data sharing standards to promote global industry development
Establishing data sharing standards to promote global industry development
 
Building Bridges: Merging RPA Processes, UiPath Apps, and Data Service to bu...
Building Bridges:  Merging RPA Processes, UiPath Apps, and Data Service to bu...Building Bridges:  Merging RPA Processes, UiPath Apps, and Data Service to bu...
Building Bridges: Merging RPA Processes, UiPath Apps, and Data Service to bu...
 
Relationship Counselling: From Disjointed Features to Product-First Thinking ...
Relationship Counselling: From Disjointed Features to Product-First Thinking ...Relationship Counselling: From Disjointed Features to Product-First Thinking ...
Relationship Counselling: From Disjointed Features to Product-First Thinking ...
 
PrismCRM-RealEstate-SalesCRM_byCode5Company
PrismCRM-RealEstate-SalesCRM_byCode5CompanyPrismCRM-RealEstate-SalesCRM_byCode5Company
PrismCRM-RealEstate-SalesCRM_byCode5Company
 
HBR SERIES METAL HOUSED RESISTORS POWER ELECTRICAL ABSORBS HIGH CURRENT DURIN...
HBR SERIES METAL HOUSED RESISTORS POWER ELECTRICAL ABSORBS HIGH CURRENT DURIN...HBR SERIES METAL HOUSED RESISTORS POWER ELECTRICAL ABSORBS HIGH CURRENT DURIN...
HBR SERIES METAL HOUSED RESISTORS POWER ELECTRICAL ABSORBS HIGH CURRENT DURIN...
 
Pragmatic UI testing with Compose Semantics.pdf
Pragmatic UI testing with Compose Semantics.pdfPragmatic UI testing with Compose Semantics.pdf
Pragmatic UI testing with Compose Semantics.pdf
 
ASTRAZENECA. Knowledge Graphs Powering a Fast-moving Global Life Sciences Org...
ASTRAZENECA. Knowledge Graphs Powering a Fast-moving Global Life Sciences Org...ASTRAZENECA. Knowledge Graphs Powering a Fast-moving Global Life Sciences Org...
ASTRAZENECA. Knowledge Graphs Powering a Fast-moving Global Life Sciences Org...
 
Introducing the New FME Community Webinar - Feb 21, 2024 (2).pdf
Introducing the New FME Community Webinar - Feb 21, 2024 (2).pdfIntroducing the New FME Community Webinar - Feb 21, 2024 (2).pdf
Introducing the New FME Community Webinar - Feb 21, 2024 (2).pdf
 
The Art of the Possible with Graph by Dr Jim Webber Neo4j.pptx
The Art of the Possible with Graph by Dr Jim Webber Neo4j.pptxThe Art of the Possible with Graph by Dr Jim Webber Neo4j.pptx
The Art of the Possible with Graph by Dr Jim Webber Neo4j.pptx
 
Q4 2023 Quarterly Investor Presentation - FINAL.pdf
Q4 2023 Quarterly Investor Presentation - FINAL.pdfQ4 2023 Quarterly Investor Presentation - FINAL.pdf
Q4 2023 Quarterly Investor Presentation - FINAL.pdf
 
Leonis Insights: The State of AI (7 trends for 2023 and 7 predictions for 2024)
Leonis Insights: The State of AI (7 trends for 2023 and 7 predictions for 2024)Leonis Insights: The State of AI (7 trends for 2023 and 7 predictions for 2024)
Leonis Insights: The State of AI (7 trends for 2023 and 7 predictions for 2024)
 
How AI and ChatGPT are changing cybersecurity forever.pptx
How AI and ChatGPT are changing cybersecurity forever.pptxHow AI and ChatGPT are changing cybersecurity forever.pptx
How AI and ChatGPT are changing cybersecurity forever.pptx
 
Act Like an Owner, Challenge Like a VC by former CPO, Tripadvisor
Act Like an Owner,  Challenge Like a VC by former CPO, TripadvisorAct Like an Owner,  Challenge Like a VC by former CPO, Tripadvisor
Act Like an Owner, Challenge Like a VC by former CPO, Tripadvisor
 
Enterprise Architecture As Strategy - Book Review
Enterprise Architecture As Strategy - Book ReviewEnterprise Architecture As Strategy - Book Review
Enterprise Architecture As Strategy - Book Review
 
Huntly presentation deck design for Behance
Huntly presentation deck design for BehanceHuntly presentation deck design for Behance
Huntly presentation deck design for Behance
 
Roundtable_-_API_Research__Testing_Tools.pdf
Roundtable_-_API_Research__Testing_Tools.pdfRoundtable_-_API_Research__Testing_Tools.pdf
Roundtable_-_API_Research__Testing_Tools.pdf
 
National Institute of Standards and Technology (NIST) Cybersecurity Framework...
National Institute of Standards and Technology (NIST) Cybersecurity Framework...National Institute of Standards and Technology (NIST) Cybersecurity Framework...
National Institute of Standards and Technology (NIST) Cybersecurity Framework...
 

Semantic web: where are we now?

  • 1. Semantic web: where are weSemantic web: where are we now?now? ADLUG Users Group MeetingADLUG Users Group Meeting Bilbao, 16-18 September, 2009Bilbao, 16-18 September, 2009 ÁdámÁdám HorváthHorváth NSZLNSZL
  • 2. 2 Semantic web: where are we ContentsContents TutorialTutorial Where are we now?Where are we now?
  • 3. 3 Semantic web: where are we Linked data on the webLinked data on the web Use RDF data modelUse RDF data model Use RDF linksUse RDF links Web of Data or Semantic WebWeb of Data or Semantic Web Linked Data browsersLinked Data browsers Linked Data provides a single,Linked Data provides a single, standardised access mechanismstandardised access mechanism (compared to APIs)(compared to APIs)
  • 4. 4 Semantic web: where are we Advantage of Linked DataAdvantage of Linked Data Linked Data provides a single,Linked Data provides a single, standardised access mechanismstandardised access mechanism – Easily crawlableEasily crawlable – Accessible using generic data browserAccessible using generic data browserss – Enables link between data from differentEnables link between data from different data sourcesdata sources
  • 5. 5 Semantic web: where are we Web architecture : resourcesWeb architecture : resources We have to identify the items of interestWe have to identify the items of interest in our domainin our domain All items of interest are calledAll items of interest are called resourcesresources – Information resources (everything in theInformation resources (everything in the traditional web)traditional web) – Non-information resources (real worldNon-information resources (real world objects, things)objects, things)
  • 6. 6 Semantic web: where are we Web architecture : resourcesWeb architecture : resources identifiersidentifiers  Uniform Resource Identifiers (URIs)Uniform Resource Identifiers (URIs) HTTP URIHTTP URI – Not URN, DOI and so onNot URN, DOI and so on Why HTTP URIWhy HTTP URI – Simple way of creating globally uniqueSimple way of creating globally unique identifier without centralised managementidentifier without centralised management – Can also be used for accessing humanCan also be used for accessing human readable information (information on thereadable information (information on the Web)Web)
  • 7. 7 Semantic web: where are we Web architecture : representationWeb architecture : representation Information resources can haveInformation resources can have representationsrepresentations Representations are stream of bytesRepresentations are stream of bytes A resource can have manyA resource can have many representationsrepresentations
  • 8. 8 Semantic web: where are we Web architecture : dereferencingWeb architecture : dereferencing HTTP URIHTTP URI  This is the process of looking up URI on theThis is the process of looking up URI on the WEB to get information about the referencedWEB to get information about the referenced resourceresource  Information resourcesInformation resources – HTTP 200HTTP 200 „OK”„OK” response coderesponse code  Non-information resourcesNon-information resources – HTTP 303HTTP 303 „„SeeSee OOtherther”” reference codereference code – The client dereferences the new URI and getsThe client dereferences the new URI and gets representation describing the original non-representation describing the original non- information objectinformation object
  • 9. 9 Semantic web: where are we Web architecture : contentWeb architecture : content negotiationnegotiation  For non-information resources it is aFor non-information resources it is a good practice to create an HTMLgood practice to create an HTML representation describing the thing forrepresentation describing the thing for human being and an RDFhuman being and an RDF representation for machinesrepresentation for machines The different representations can beThe different representations can be reached via the content negotiationreached via the content negotiation
  • 12. 12 Semantic web: where are we Web architecture : URI aliasesWeb architecture : URI aliases  Two data provider can assign differentTwo data provider can assign different URI for the same resourceURI for the same resource – http://dbpedia.org/resource/Berlinhttp://dbpedia.org/resource/Berlin – http://sws.geonames.org/2950159/http://sws.geonames.org/2950159/ Information providers often setInformation providers often set owl:sameAsowl:sameAs link to URI aliases they know aboutlink to URI aliases they know about
  • 13. 13 Semantic web: where are we Web architecture : AssociatedWeb architecture : Associated descriptionsdescriptions RDF description of a non-informationRDF description of a non-information object that a client obtains byobject that a client obtains by dereferencing the URI of the non-dereferencing the URI of the non- information objectinformation object
  • 14. 14 Semantic web: where are we The RDF data modelThe RDF data model RDF (Resource Description Framework)RDF (Resource Description Framework) is used to represent information aboutis used to represent information about resourcesresources A description of a resource isA description of a resource is represented as a number of triplesrepresented as a number of triples Triples contain subject, predicate,Triples contain subject, predicate, objectobject
  • 15. 15 Semantic web: where are we The RDF data modelThe RDF data model ExampleExample – The bookThe book has the titlehas the title DekameronDekameron – SubjectSubject PredicatePredicate ObjectObject
  • 16. 16 Semantic web: where are we The RDF data modelThe RDF data model SubjectSubject – URI identifying the described resourceURI identifying the described resource ObjectObject – Literal value (string, number, date, etc)Literal value (string, number, date, etc) – URI that is related somehow to the subjectURI that is related somehow to the subject PredicatePredicate – Indicates the relationship between theIndicates the relationship between the subject and objectsubject and object – URI, and comes from vocabulariesURI, and comes from vocabularies
  • 17. 17 Semantic web: where are we The RDF data modelThe RDF data model Two types of RDF triplesTwo types of RDF triples – Literal RDFLiteral RDF • Used to describe the properties of resourcesUsed to describe the properties of resources – The title of a bookThe title of a book – RDF linksRDF links • Three URIThree URI • Subject and Object identify the interlinkedSubject and Object identify the interlinked resourcesresources • Predicate tells the relationshipPredicate tells the relationship
  • 18. 18 Semantic web: where are we The RDF data modelThe RDF data model  ExampleExample 11 – The bookThe book has the titlehas the title DekameronDekameron – SubjectSubject PredicatePredicate ObjectObject  Example 2Example 2 – SubjectSubject • http://nektar.oszk.hu/resource/manifestation/2645471http://nektar.oszk.hu/resource/manifestation/2645471 – PredicatePredicate • <dc:title><dc:title> – ObjectObject • DekameronDekameron
  • 23. 23 Semantic web: where are we The RDF data modelThe RDF data model The most valuable RDF links are thoseThe most valuable RDF links are those that connect the resource to externalthat connect the resource to external data published by other data sourcesdata published by other data sources
  • 24. 24 Semantic web: where are we The RDF data modelThe RDF data model Benefits of using the RDF data modelBenefits of using the RDF data model – Clients can lookup every URI in the RDFClients can lookup every URI in the RDF graph over the Web to retrieve additionalgraph over the Web to retrieve additional informationinformation – Information from different sources mergeInformation from different sources merge naturallynaturally – RDF links between data from differentRDF links between data from different sources can be setsources can be set – Information expressed in different schemaInformation expressed in different schema can be represented in a single modelcan be represented in a single model
  • 25. 25 Semantic web: where are we Choosing URIsChoosing URIs Good nameGood name – ExpressiveExpressive – Others can use confidentlyOthers can use confidently Technical infrastructure to make themTechnical infrastructure to make them dereferencabledereferencable
  • 26. 26 Semantic web: where are we Choosing URIsChoosing URIs Good practice (Cool URIs)Good practice (Cool URIs) – Use HTTP URIUse HTTP URI • Not URN, DOINot URN, DOI – Define URI in the namespace under yourDefine URI in the namespace under your controlcontrol
  • 27. 27 Semantic web: where are we Choosing URIsChoosing URIs Good practice (Cool URIs)Good practice (Cool URIs) – Implementation specific things should notImplementation specific things should not appearappear – Compare:Compare: http://link.oszk.hu/libriurl.php?http://link.oszk.hu/libriurl.php? LN=hu&DB=OSZK&SRY=an&SRE=000002645471LN=hu&DB=OSZK&SRY=an&SRE=000002645471 http://nektar.oszk.hu/hu/manifestation/2645471http://nektar.oszk.hu/hu/manifestation/2645471
  • 28. 28 Semantic web: where are we Choosing URIsChoosing URIs Good practice (Cool URIs)Good practice (Cool URIs) – Try to keep stable and persistentTry to keep stable and persistent
  • 29. 29 Semantic web: where are we VocabulariesVocabularies  Well-known vocabulariesWell-known vocabularies – Friend-of-a-Friend (FOAF), vocabulary for describing people.Friend-of-a-Friend (FOAF), vocabulary for describing people. – Dublin Core (DC) defines general metadata attributes. See also theirDublin Core (DC) defines general metadata attributes. See also their new domains and ranges draft.new domains and ranges draft. – Semantically-Interlinked Online Communities (SIOC), vocabulary forSemantically-Interlinked Online Communities (SIOC), vocabulary for representing online communities.representing online communities. – Description of a Project (DOAP), vocabulary for describing projects.Description of a Project (DOAP), vocabulary for describing projects. – Simple Knowledge Organization System (SKOS), vocabulary forSimple Knowledge Organization System (SKOS), vocabulary for representing taxonomies and loosely structured knowledge.representing taxonomies and loosely structured knowledge. – Music Ontology provides terms for describing artists, albums andMusic Ontology provides terms for describing artists, albums and tracks.tracks. – Review Vocabulary, vocabulary for representing reviews.Review Vocabulary, vocabulary for representing reviews. – Creative Commons (CC), vocabulary for describing license terms.Creative Commons (CC), vocabulary for describing license terms.
  • 30. 30 Semantic web: where are we Serving information as Linked DataServing information as Linked Data RequirementRequirement – Things must be identified with dereferenceableThings must be identified with dereferenceable HTTP URIsHTTP URIs – Data source must return an RDF/XMLData source must return an RDF/XML description of the identified resourcedescription of the identified resource – Links to external resourcesLinks to external resources – Links from external resources (ensure that thereLinks from external resources (ensure that there are external RDF links pointing at URIs fromare external RDF links pointing at URIs from your dataset)your dataset)
  • 31. 31 Semantic web: where are we Serving information as Linked DataServing information as Linked Data How to create external links pointing to yourHow to create external links pointing to your data?data? – In your FOAF file point the central resources ofIn your FOAF file point the central resources of your datasetyour dataset • If one of your friends has a FOAF file and points toIf one of your friends has a FOAF file and points to you your dataset is now part of the Web of Datayou your dataset is now part of the Web of Data – Convince the owners of related data sets toConvince the owners of related data sets to auto-generate links to your datasetauto-generate links to your dataset
  • 32. 32 Semantic web: where are we Serving information as Linked DataServing information as Linked Data Serving the dataset as static RDF fileServing the dataset as static RDF file – Which cases?Which cases? • RDF files are created manuallyRDF files are created manually • RDF files are created programs that produces fileRDF files are created programs that produces file outputoutput – HowHow • Give .rdf filename extensionGive .rdf filename extension • In httpd.conf add this lineIn httpd.conf add this line – AddType application/rdf+xml .rdfAddType application/rdf+xml .rdf – Problem: 303 redirect does not workProblem: 303 redirect does not work
  • 33. 33 Semantic web: where are we Serving information as Linked DataServing information as Linked Data Serving relational databasesServing relational databases – D2R serverD2R server • Provides a SPARQL endpoint to the relationalProvides a SPARQL endpoint to the relational database by the means of mapping filedatabase by the means of mapping file
  • 34. 34 Semantic web: where are we Serving information as Linked DataServing information as Linked Data Wrappers around existing applications andWrappers around existing applications and WEB APIWEB API – RDF Book MashupRDF Book Mashup • The RDF Book Mashup assigns a HTTP URI to eachThe RDF Book Mashup assigns a HTTP URI to each book that has an ISBN numberbook that has an ISBN number • Whenever the HTTP URI is dereferenceWhenever the HTTP URI is dereferencedd RDF BookRDF Book Mashup requires data from Amazon API and GoogleMashup requires data from Amazon API and Google Base APIBase API
  • 35. 35 Semantic web: where are we Serving information as Linked DataServing information as Linked Data RDF databaseRDF database – JenaJena • SPARQL endpoint is JoSPARQL endpoint is Josekiseki
  • 36. 36 Semantic web: where are we Testing and debuggingTesting and debugging RDF browsersRDF browsers – TabulatorTabulator – MarblesMarbles – Open Link RDF BrowserOpen Link RDF Browser – DiscoDisco Testing dereferencingTesting dereferencing – curlcurl W3C RDF validation serviceW3C RDF validation service
  • 37. 37 Semantic web: where are we Discovering linked data on the webDiscovering linked data on the web Ping the semantic webPing the semantic web – Registry service for RDF documentsRegistry service for RDF documents HTML link auto-discoveryHTML link auto-discovery – Set links from existing web pages to RDF dataSet links from existing web pages to RDF data – HTML <link> element in the <head> of yourHTML <link> element in the <head> of your HTML pageHTML page – <link rel="alternate" type="application/rdf+xml"<link rel="alternate" type="application/rdf+xml" href="link_to_the_RDF_version"/>href="link_to_the_RDF_version"/>
  • 38. 38 Semantic web: where are we Discovering linked data on the webDiscovering linked data on the web Semantic Web Crawling: a SitemapSemantic Web Crawling: a Sitemap ExtensionExtension – Data publishers can state where RDF is locatedData publishers can state where RDF is located – Robot.txtRobot.txt Dataset List on the ESW WikiDataset List on the ESW Wiki
  • 39. 39 Semantic web: where are we Web of data search enginesWeb of data search engines FalconsFalcons developed by IWS Chinadeveloped by IWS China SindiceSindice developed by DERI Irelanddeveloped by DERI Ireland WatsonWatson developed by KMi, UKdeveloped by KMi, UK Semantic Web Search Engine (SWSE)Semantic Web Search Engine (SWSE) developed by DERI Irelanddeveloped by DERI Ireland SwoogleSwoogle developed by ubiquity group atdeveloped by ubiquity group at UMBC USAUMBC USA
  • 40. 40 Semantic web: where are we Semantic web: where are we now?Semantic web: where are we now?
  • 42. 42 Semantic web: where are we The model in detailThe model in detail The thing URIThe thing URI http://nektar.oszk.hu/resource/manifestation/2645471http://nektar.oszk.hu/resource/manifestation/2645471 – The 303 redirection code indicates that this URI is for thingThe 303 redirection code indicates that this URI is for thing The RDF document URIThe RDF document URI http://nektar.oszk.hu/data/manifestation/2645471http://nektar.oszk.hu/data/manifestation/2645471  The WEB (LibriVision) document URIThe WEB (LibriVision) document URI http://nektar.oszk.hu/http://nektar.oszk.hu/huhu/manifestation/2645471/manifestation/2645471 http://nektar.oszk.hu/http://nektar.oszk.hu/enen/manifestation/2645471/manifestation/2645471
  • 43. 43 Semantic web: where are we The model in detailThe model in detail  Content negotiation rulesContent negotiation rules – If application/rdf+xml is accepted the xml is givenIf application/rdf+xml is accepted the xml is given from this address via content negotiation and 303from this address via content negotiation and 303 redirect:redirect: http://nektar.oszk.hu/data/manifestation/2645471http://nektar.oszk.hu/data/manifestation/2645471 – If text/html is acceptedIf text/html is accepted • Depending on the language of the browser either theDepending on the language of the browser either the Hungarian or the English interface of LibriVision is given.Hungarian or the English interface of LibriVision is given. The default is Hungarian (again via content negotiation):The default is Hungarian (again via content negotiation): http://nektar.oszk.hu/hu/manifestation/2645471http://nektar.oszk.hu/hu/manifestation/2645471
  • 44. 44 Semantic web: where are we The working modelThe working model
  • 45. 45 Semantic web: where are we The record in LibriVisionThe record in LibriVision
  • 46. 46 Semantic web: where are we The record in LibriVisionThe record in LibriVision
  • 47. 47 Semantic web: where are we The record in LibriVisionThe record in LibriVision
  • 48. 48 Semantic web: where are we The record in LibriVisionThe record in LibriVision
  • 49. 49 Semantic web: where are we The record in LibriVisionThe record in LibriVision
  • 50. 50 Semantic web: where are we The record in LibriVisionThe record in LibriVision
  • 51. 51 Semantic web: where are we The record in LibriVisionThe record in LibriVision
  • 52. 52 Semantic web: where are we The record in LibriVisionThe record in LibriVision
  • 53. 53 Semantic web: where are we The record in LibriVisionThe record in LibriVision
  • 54. 54 Semantic web: where are we SKOSSKOS SKOS is now a W3C recommendationSKOS is now a W3C recommendation – Last year it just was a proposedLast year it just was a proposed recommendationrecommendation NSZL is among the first implementersNSZL is among the first implementers
  • 55. 55 Semantic web: where are we Useful linksUseful links  How to Publish Linked Data on the WebHow to Publish Linked Data on the Web – http://www4.wiwiss.fu-berlin.de/bizer/pub/LinkedDataTutorial/http://www4.wiwiss.fu-berlin.de/bizer/pub/LinkedDataTutorial/  Cool URIs for the Semantic WebCool URIs for the Semantic Web – http://www.w3.org/TR/2008/NOTE-cooluris-20080331/http://www.w3.org/TR/2008/NOTE-cooluris-20080331/  SKOS Simple Knowledge Organization SystemSKOS Simple Knowledge Organization System ReferenceReference – http://www.w3.org/TR/skos-reference/http://www.w3.org/TR/skos-reference/  SKOS Simple Knowledge Organization System PrimerSKOS Simple Knowledge Organization System Primer – http://www.w3.org/TR/skos-primer/http://www.w3.org/TR/skos-primer/  SKOS implementation reportSKOS implementation report – http://www.w3.org/2006/07/SWD/SKOS/reference/20090315/implehttp://www.w3.org/2006/07/SWD/SKOS/reference/20090315/imple mentation.htmlmentation.html
  • 56. adam@oszk.huadam@oszk.hu Thank you for your attentionThank you for your attention