Movatterモバイル変換


[0]ホーム

URL:


Alvaro Graves, profile picture
Uploaded byAlvaro Graves
KEY, PDF5,191 views

Creating Visualizations with Linked Open Data

This document discusses creating visualizations with linked open data using Visualbox. It begins with an overview of linked data and how to query it using SPARQL. Examples are provided of SPARQL queries to retrieve data about London and schools in London from public linked data sets. The document then introduces Visualbox as a tool for applying visualizations to the query results. It describes the components of Visualbox including using a SPARQL query to obtain data, selecting a visualization type and filters, testing the query, and viewing or embedding the final visualization.

Related topics:

Embed presentation

Downloaded 61 times
CREATING VISUALIZATIONSWITH LINKED OPEN DATA                  Alvaro Graves                 @alvarograves               alvaro@graves.cl
AGENDA• What   is Linked Data?• How   can I query Linked Data?• How   to create visualizations using Visualbox
WHAT IS LINKED DATA?• Linked Data is a way to  publish data in a machine-  readable way• Itallows you to describe  information about things on  the Web and their  relationships• Government, NGOs       and  universities publish Linked  Data
WHAT IS LINKED DATA?• Example: • London    is the capital of England. • London’s   population is 8 million people • England   is a Country.
WHAT IS LINKED DATA?                                    England           is a                capital of                                                             Country       London                       population                                          8.000.000• England   is a Country.• England   ‘s capital is London.• London’s   population is 8 million people
ON THE WEB...•   We create a URI (i.e., “web address”-like identifier) for everything    •   London → http://dbpedia.org/resource/London    •   England → http://dbpedia.org/resource/England    •   Country → http://dbpedia.org/ontology/Country•   Same for relations!    •   capital of → http://dbpedia.org/ontology/capital    •   is a → http://www.w3.org/1999/02/22-rdf-syntax-ns#type    •   population → http://dbpedia.org/ontology/populationUrban
LINKED DATA                                                            England           is a                                        capital of                                                                                            Country                            London                                               population                                                                  8.000.000                                                      http://dbpedia.org/resource/England                            http://dbpedia.org/ontology/capital       http://www.w3.org/1999/02/22-rdf-syntax-ns#typehttp://dbpedia.org/resource/London                            http://dbpedia.org/ontology/populationUrban                                                                                            http://dbpedia.org/ontology/Country                                                              8.000.000
HOW CAN I QUERY             LINKED DATA?• We   can use SPARQL, a query language for Linked Data• People       (and governments) publishes Linked Data in SPARQL endpoints that can be queried
HOW SPARQL LOOKSPREFIX dbo: <http://dbpedia.org/ontology/>PREFIX dbp: <http://dbpedia.org/resource/>SELECT ?city ?population WHERE{    dbp:England dbo:capital ?city .    ?city dbo:populationUrban ?population .}
RESULTSExecuted against http://dbpedia.org/sparql
SCHOOLS IN THE CITY OF               LONDONPREFIX sch-ont:    <http://education.data.gov.uk/def/school/>PREFIX geo:        <http://www.w3.org/2003/01/geo/wgs84_pos#>PREFIX district: <http://statistics.data.gov.uk/id/local-authority-district/>SELECT ?school ?name ?lat ?long WHERE {    ?school a sch-ont:School;            sch-ont:establishmentName ?name;            geo:lat ?lat;            geo:long ?long;            sch-ont:districtAdministrative district:00AA .}ORDER BY ?name
RESULTS                      Executed against    http://education.data.gov.uk/sparql/education/query                  school                                name               lat       longhttp://education.data.gov.uk/id/school/581261   Barbican Playgroup      51.51879   -0.09267                                                Buffer Bear @ Barts &http://education.data.gov.uk/id/school/531003                           51.51697   -0.10086                                                the London                                                Charterhouse Squarehttp://education.data.gov.uk/id/school/590270                           51.52038   -0.09886                                                School
APPLY VISUALIZATION{{models.main|GoogleMaps:”lat,long,name”}}
HOW TO CREATE                VISUALIZATIONS• Part   1: Obtain the data ✓• Part   2: Apply a visualization → Visualbox
VISUALBOX
VISUALBOXComponents
VISUALBOX            SPARQL             query
VISUALBOX            Visualization               (HTML)
VISUALBOX            Visualization               Filters
VISUALBOX
VISUALBOX             Query            testing  Results
VISUALBOXView & embed component
START PLAYING WITH       VISUALBOX            Edit: Final demos available athttp://orion.tw.rpi.edu/~agraves/mozfest/index.html

Recommended

PPTX
BIBFRAME : the future of cataloguing?
PPT
Cultural Heritage Information Dashboards
PPTX
Linked Digital Collection "Rainis and Aspazija"
PPTX
Tools for Data Manipulation - UKAD Open Refine Workshop
PPTX
Biblissima: Medieval Manuscripts and the Semantic Web
PPTX
Linking Data with sameAs: Challenges and Solutions - Workshop
PDF
Publication Web Semantic Biblissima - DH2016
PPT
IMLS DCC Progress Update to the Chief Officers of State Library Agencies (COSLA)
PPTX
Beyond MARC: MARC, linked data, and Bibframe
PDF
Linked open data and libraries
PDF
Peter webster interrogating the archived uk web
ODP
Wikipedia as Knowledge Organization System
PPTX
Da Biblissima a Biblissima+ : per un osservatorio delle culture scritte
PPTX
MARC and BIBFRAME
PPTX
BIBFRAME and Moving Away From MARC
PPTX
Viaf and isni ifla 2013 08-16
PPTX
Copac: your union catalogue today and tomorrow
PDF
Provenance in the bibliographic model / Anne Welsh
PPTX
What is #LODLAM?! (revised January 2015)
ODP
Charper.lawdi.20130531
PDF
Peter Webster - Digital History - 11 June 2013
PPTX
The Impact of Bibframe
PPTX
Nemeth Marton - Widening the limits of cognitive reception with online digita...
PDF
Thinking of Linking
PDF
Digital Manuscripts Without Borders: A Discovery Platform of Manuscripts and ...
PDF
The Past's Present Future: Emerging Trends in Online Cultural Heritage
PDF
Semantic Web Applications in Libraries: The Road to BIBFRAME
PPTX
Usage of Linked Data: Introduction and Application Scenarios
PPT
Google

More Related Content

PPTX
BIBFRAME : the future of cataloguing?
PPT
Cultural Heritage Information Dashboards
PPTX
Linked Digital Collection "Rainis and Aspazija"
PPTX
Tools for Data Manipulation - UKAD Open Refine Workshop
PPTX
Biblissima: Medieval Manuscripts and the Semantic Web
PPTX
Linking Data with sameAs: Challenges and Solutions - Workshop
PDF
Publication Web Semantic Biblissima - DH2016
PPT
IMLS DCC Progress Update to the Chief Officers of State Library Agencies (COSLA)
BIBFRAME : the future of cataloguing?
Cultural Heritage Information Dashboards
Linked Digital Collection "Rainis and Aspazija"
Tools for Data Manipulation - UKAD Open Refine Workshop
Biblissima: Medieval Manuscripts and the Semantic Web
Linking Data with sameAs: Challenges and Solutions - Workshop
Publication Web Semantic Biblissima - DH2016
IMLS DCC Progress Update to the Chief Officers of State Library Agencies (COSLA)

What's hot

PPTX
Beyond MARC: MARC, linked data, and Bibframe
PDF
Linked open data and libraries
PDF
Peter webster interrogating the archived uk web
ODP
Wikipedia as Knowledge Organization System
PPTX
Da Biblissima a Biblissima+ : per un osservatorio delle culture scritte
PPTX
MARC and BIBFRAME
PPTX
BIBFRAME and Moving Away From MARC
PPTX
Viaf and isni ifla 2013 08-16
PPTX
Copac: your union catalogue today and tomorrow
PDF
Provenance in the bibliographic model / Anne Welsh
PPTX
What is #LODLAM?! (revised January 2015)
ODP
Charper.lawdi.20130531
PDF
Peter Webster - Digital History - 11 June 2013
PPTX
The Impact of Bibframe
PPTX
Nemeth Marton - Widening the limits of cognitive reception with online digita...
PDF
Thinking of Linking
PDF
Digital Manuscripts Without Borders: A Discovery Platform of Manuscripts and ...
PDF
The Past's Present Future: Emerging Trends in Online Cultural Heritage
PDF
Semantic Web Applications in Libraries: The Road to BIBFRAME
Beyond MARC: MARC, linked data, and Bibframe
Linked open data and libraries
Peter webster interrogating the archived uk web
Wikipedia as Knowledge Organization System
Da Biblissima a Biblissima+ : per un osservatorio delle culture scritte
MARC and BIBFRAME
BIBFRAME and Moving Away From MARC
Viaf and isni ifla 2013 08-16
Copac: your union catalogue today and tomorrow
Provenance in the bibliographic model / Anne Welsh
What is #LODLAM?! (revised January 2015)
Charper.lawdi.20130531
Peter Webster - Digital History - 11 June 2013
The Impact of Bibframe
Nemeth Marton - Widening the limits of cognitive reception with online digita...
Thinking of Linking
Digital Manuscripts Without Borders: A Discovery Platform of Manuscripts and ...
The Past's Present Future: Emerging Trends in Online Cultural Heritage
Semantic Web Applications in Libraries: The Road to BIBFRAME

Viewers also liked

PPTX
Usage of Linked Data: Introduction and Application Scenarios
PPT
Google
KEY
Publishing Linked Data with LODSPeaKr
PDF
Finding data BBC 15
PDF
Visualizations using Visualbox
PDF
Creation of visualizations based on Linked Data
KEY
Como crear aplicaciones basadas en linked data usando lods pea kr
PDF
Creating visualizations using Linked Data
PPT
Integrating and publishing public safety data using semantic technologies
PPTX
Querying Linked Data on Android
PDF
Datos malos, robots tristes
PPT
Towards a better understanding of Social Machines
PDF
Data Tuesday
Usage of Linked Data: Introduction and Application Scenarios
Google
Publishing Linked Data with LODSPeaKr
Finding data BBC 15
Visualizations using Visualbox
Creation of visualizations based on Linked Data
Como crear aplicaciones basadas en linked data usando lods pea kr
Creating visualizations using Linked Data
Integrating and publishing public safety data using semantic technologies
Querying Linked Data on Android
Datos malos, robots tristes
Towards a better understanding of Social Machines
Data Tuesday

Similar to Creating Visualizations with Linked Open Data

PPT
Exploring the Semantic Web
PDF
Informal presentation about RES
PDF
Intertwingularity, Semantic Web and linked Geo data
PDF
Statistical Linked Data
PPTX
Linked Open Data Utrecht University Library
PDF
Linked Open Data for Digital Humanities
PDF
Visualize open data with Plone - eea.daviz PLOG 2013
PDF
2010 05 edinburgh
PPT
Radically Open Cultural Heritage Data on the Web
PPT
Geo-linked data: towards deep integration of location in the web of data
PPTX
Lecture linked data cloud & sparql
PPTX
Omitola birmingham cityuniv
PPT
Linked Data in Learning Analytics Tools
PDF
wimmics and DBpedia FR
PDF
EDF2012 Mariana Damova - Factforge
PPT
Accessing the Linked Open Data Cloud via ODBC
PPTX
Collaborative Semantic Web Applications and Linked Justifications
PDF
Managing Ontologies
 
PDF
Visualisation and linked data applications edf 2013
PDF
Measuring and Mapping Population
Exploring the Semantic Web
Informal presentation about RES
Intertwingularity, Semantic Web and linked Geo data
Statistical Linked Data
Linked Open Data Utrecht University Library
Linked Open Data for Digital Humanities
Visualize open data with Plone - eea.daviz PLOG 2013
2010 05 edinburgh
Radically Open Cultural Heritage Data on the Web
Geo-linked data: towards deep integration of location in the web of data
Lecture linked data cloud & sparql
Omitola birmingham cityuniv
Linked Data in Learning Analytics Tools
wimmics and DBpedia FR
EDF2012 Mariana Damova - Factforge
Accessing the Linked Open Data Cloud via ODBC
Collaborative Semantic Web Applications and Linked Justifications
Managing Ontologies
 
Visualisation and linked data applications edf 2013
Measuring and Mapping Population

More from Alvaro Graves

PPT
POMELo: A PML Online Editor
PPT
TWC LOGD: A Portal for Linking Government Data
KEY
Publishing Linked Open Data in 15 minutes
KEY
Creating web applications with LODSPeaKr
KEY
Explotando la Web de Datos: Como crear aplicaciones usando Linked Open Data
PPT
Democratizing Open Data
KEY
Web semántica y linked data la web como bd
KEY
Publicando RDF y Linked Data con LODSPeaKr
KEY
LODSPeaKr - Use cases Lighting Talk
PDF
Open Data y participación ciudadana
KEY
Improving decision-making based on government data and visualizations
POMELo: A PML Online Editor
TWC LOGD: A Portal for Linking Government Data
Publishing Linked Open Data in 15 minutes
Creating web applications with LODSPeaKr
Explotando la Web de Datos: Como crear aplicaciones usando Linked Open Data
Democratizing Open Data
Web semántica y linked data la web como bd
Publicando RDF y Linked Data con LODSPeaKr
LODSPeaKr - Use cases Lighting Talk
Open Data y participación ciudadana
Improving decision-making based on government data and visualizations

Recently uploaded

PDF
[DevFest Strasbourg 2025] - NodeJs Can do that !!
PDF
Agentic Intro and Hands-on: Build your first Coded Agent
PDF
[BDD 2025 - Mobile Development] Mobile Engineer and Software Engineer: Are we...
PDF
[BDD 2025 - Full-Stack Development] Digital Accessibility: Why Developers nee...
PPTX
MuleSoft AI Series : Introduction to MCP
PDF
KMWorld - KM & AI Bring Collectivity, Nostalgia, & Selectivity
PDF
[BDD 2025 - Full-Stack Development] Agentic AI Architecture: Redefining Syste...
PDF
[BDD 2025 - Full-Stack Development] The Modern Stack: Building Web & AI Appli...
PPTX
UFCD 0797 - SISTEMAS OPERATIVOS_Unidade Completa.pptx
PDF
[BDD 2025 - Mobile Development] Exploring Apple’s On-Device FoundationModels
PPTX
The power of Slack and MuleSoft | Bangalore MuleSoft Meetup #60
PDF
10 Best Automation QA Testing Software Tools in 2025.pdf
PDF
The Necessity of Digital Forensics, the Digital Forensics Process & Laborator...
PDF
ODSC AI West: Agent Optimization: Beyond Context engineering
PDF
MuleSoft Meetup: Dreamforce'25 Tour- Vibing With AI & Agents.pdf
PDF
Mastering Agentic Orchestration with UiPath Maestro | Hands on Workshop
PDF
DUBAI IT MODERNIZATION WITH AZURE MANAGED SERVICES.pdf
PDF
[BDD 2025 - Mobile Development] Crafting Immersive UI with E2E and AGSL Shade...
PDF
Integrating AI with Meaningful Human Collaboration
PPTX
Leon Brands - Intro to GPU Occlusion (Graphics Programming Conference 2024)
[DevFest Strasbourg 2025] - NodeJs Can do that !!
Agentic Intro and Hands-on: Build your first Coded Agent
[BDD 2025 - Mobile Development] Mobile Engineer and Software Engineer: Are we...
[BDD 2025 - Full-Stack Development] Digital Accessibility: Why Developers nee...
MuleSoft AI Series : Introduction to MCP
KMWorld - KM & AI Bring Collectivity, Nostalgia, & Selectivity
[BDD 2025 - Full-Stack Development] Agentic AI Architecture: Redefining Syste...
[BDD 2025 - Full-Stack Development] The Modern Stack: Building Web & AI Appli...
UFCD 0797 - SISTEMAS OPERATIVOS_Unidade Completa.pptx
[BDD 2025 - Mobile Development] Exploring Apple’s On-Device FoundationModels
The power of Slack and MuleSoft | Bangalore MuleSoft Meetup #60
10 Best Automation QA Testing Software Tools in 2025.pdf
The Necessity of Digital Forensics, the Digital Forensics Process & Laborator...
ODSC AI West: Agent Optimization: Beyond Context engineering
MuleSoft Meetup: Dreamforce'25 Tour- Vibing With AI & Agents.pdf
Mastering Agentic Orchestration with UiPath Maestro | Hands on Workshop
DUBAI IT MODERNIZATION WITH AZURE MANAGED SERVICES.pdf
[BDD 2025 - Mobile Development] Crafting Immersive UI with E2E and AGSL Shade...
Integrating AI with Meaningful Human Collaboration
Leon Brands - Intro to GPU Occlusion (Graphics Programming Conference 2024)

Creating Visualizations with Linked Open Data

  • 1.
    CREATING VISUALIZATIONSWITH LINKEDOPEN DATA Alvaro Graves @alvarograves alvaro@graves.cl
  • 2.
    AGENDA• What is Linked Data?• How can I query Linked Data?• How to create visualizations using Visualbox
  • 3.
    WHAT IS LINKEDDATA?• Linked Data is a way to publish data in a machine- readable way• Itallows you to describe information about things on the Web and their relationships• Government, NGOs and universities publish Linked Data
  • 4.
    WHAT IS LINKEDDATA?• Example: • London is the capital of England. • London’s population is 8 million people • England is a Country.
  • 5.
    WHAT IS LINKEDDATA? England is a capital of Country London population 8.000.000• England is a Country.• England ‘s capital is London.• London’s population is 8 million people
  • 6.
    ON THE WEB...• We create a URI (i.e., “web address”-like identifier) for everything • London → http://dbpedia.org/resource/London • England → http://dbpedia.org/resource/England • Country → http://dbpedia.org/ontology/Country• Same for relations! • capital of → http://dbpedia.org/ontology/capital • is a → http://www.w3.org/1999/02/22-rdf-syntax-ns#type • population → http://dbpedia.org/ontology/populationUrban
  • 7.
    LINKED DATA England is a capital of Country London population 8.000.000 http://dbpedia.org/resource/England http://dbpedia.org/ontology/capital http://www.w3.org/1999/02/22-rdf-syntax-ns#typehttp://dbpedia.org/resource/London http://dbpedia.org/ontology/populationUrban http://dbpedia.org/ontology/Country 8.000.000
  • 8.
    HOW CAN IQUERY LINKED DATA?• We can use SPARQL, a query language for Linked Data• People (and governments) publishes Linked Data in SPARQL endpoints that can be queried
  • 9.
    HOW SPARQL LOOKSPREFIXdbo: <http://dbpedia.org/ontology/>PREFIX dbp: <http://dbpedia.org/resource/>SELECT ?city ?population WHERE{ dbp:England dbo:capital ?city . ?city dbo:populationUrban ?population .}
  • 10.
  • 11.
    SCHOOLS IN THECITY OF LONDONPREFIX sch-ont: <http://education.data.gov.uk/def/school/>PREFIX geo: <http://www.w3.org/2003/01/geo/wgs84_pos#>PREFIX district: <http://statistics.data.gov.uk/id/local-authority-district/>SELECT ?school ?name ?lat ?long WHERE { ?school a sch-ont:School; sch-ont:establishmentName ?name; geo:lat ?lat; geo:long ?long; sch-ont:districtAdministrative district:00AA .}ORDER BY ?name
  • 12.
    RESULTS Executed against http://education.data.gov.uk/sparql/education/query school name lat longhttp://education.data.gov.uk/id/school/581261 Barbican Playgroup 51.51879 -0.09267 Buffer Bear @ Barts &http://education.data.gov.uk/id/school/531003 51.51697 -0.10086 the London Charterhouse Squarehttp://education.data.gov.uk/id/school/590270 51.52038 -0.09886 School
  • 13.
  • 14.
    HOW TO CREATE VISUALIZATIONS• Part 1: Obtain the data ✓• Part 2: Apply a visualization → Visualbox
  • 15.
  • 16.
  • 17.
    VISUALBOX SPARQL query
  • 18.
    VISUALBOX Visualization (HTML)
  • 19.
    VISUALBOX Visualization Filters
  • 20.
  • 21.
    VISUALBOX Query testing Results
  • 22.
  • 23.
    START PLAYING WITH VISUALBOX Edit: Final demos available athttp://orion.tw.rpi.edu/~agraves/mozfest/index.html

Editor's Notes


[8]ページ先頭

©2009-2025 Movatter.jp