SlideShare ist ein Scribd-Unternehmen logo
1 von 17
How to get your data into Sindice and Google with sitemap4rdf Boris Villazón-Terrazas (OEG), Richard Cyganiak (DERI)
Publishing Linked Data  from a triple store
Linked Data frontends for triple stores Source: Pubby website, http://www4.wiwiss.fu-berlin.de/pubby/
Search engines
Sindice: the best RDF search engine
Sindice: the best RDF search engine 120M+ documents Continuously updating since 2006 Low-latency search API RDF/XML, Turtle, RDFa, microformats
The Sitemap protocol
Sitemap Protocol Used by web crawlers Efficiently find all your content & discover what has been updated http://sitemaps.org/
Sitemap Protocol: Simple example <?xml version="1.0" encoding="UTF-8"?> <urlsetxmlns="http://www.sitemaps.org/schemas/sitemap/0.9">    <url>       <loc>http://yoursite/</loc>    </url>    <url>       <loc>http://yoursite/products/53546</loc>    </url>    <url>       <loc>http://yoursite/products/98421</loc>    </url>    <url>       <loc>http://yoursite/products/41003</loc>    </url> </urlset>
Sitemap Protocol: Optional parts <?xml version="1.0" encoding="UTF-8"?> <urlsetxmlns="http://www.sitemaps.org/schemas/sitemap/0.9">    <url>       <loc>http://yoursite/</loc>       <lastmod>2010-06-24</lastmod>       <changefreq>daily</changefreq>    </url> </urlset>
Sitemap Protocol: Huge sitemaps Gzip-compress your sitemap Limit: 50k URLs or 10MB split into multiple sitemap files add a sitemap index file
Sitemap Protocol: Discovery Publish the sitemap file Add a line to http://yoursite/robots.txt   Sitemap: http://yoursite/sitemap.xml
sitemap4rdf Generate Sitemap files from a SPARQL endpoint
sitemap4rdf Simple command line tool Sends a SPARQL query to list all URIs Generates sitemap sitemap4rdf http://yoursite/sparql http://yoursite/resource/
Submit the sitemap location - Sindice http://sindice.com/main/submit
Submit the sitemap location - Google https://www.google.com/webmasters/tools/
Summary Sitemap protocol informs search engines about available pages Supported by Sindice! sitemap4rdf generates Sitemap files by listing URIs in a SPARQL endpoint Open source, Java http://lab.linkeddata.deri.ie/2010/sitemap4rdf/

Weitere ähnliche Inhalte

Was ist angesagt?

The Power of Semantic Technologies to Explore Linked Open Data
The Power of Semantic Technologies to Explore Linked Open DataThe Power of Semantic Technologies to Explore Linked Open Data
The Power of Semantic Technologies to Explore Linked Open DataOntotext
 
ORCID cross-sector application and use cases, Funder workflow: National Resea...
ORCID cross-sector application and use cases, Funder workflow: National Resea...ORCID cross-sector application and use cases, Funder workflow: National Resea...
ORCID cross-sector application and use cases, Funder workflow: National Resea...ORCID, Inc
 
Querying the Wikidata Knowledge Graph
Querying the Wikidata Knowledge GraphQuerying the Wikidata Knowledge Graph
Querying the Wikidata Knowledge GraphIoan Toma
 
S4: The Self-Service Semantic Suite
S4: The Self-Service Semantic SuiteS4: The Self-Service Semantic Suite
S4: The Self-Service Semantic SuiteMarin Dimitrov
 
New Product Introductions - Minesoft
New Product Introductions - MinesoftNew Product Introductions - Minesoft
New Product Introductions - MinesoftDr. Haxel Consult
 
Smarter content with a Dynamic Semantic Publishing Platform
Smarter content with a Dynamic Semantic Publishing PlatformSmarter content with a Dynamic Semantic Publishing Platform
Smarter content with a Dynamic Semantic Publishing PlatformOntotext
 
Transforming Your Data with GraphDB: GraphDB Fundamentals, Jan 2018
Transforming Your Data with GraphDB: GraphDB Fundamentals, Jan 2018Transforming Your Data with GraphDB: GraphDB Fundamentals, Jan 2018
Transforming Your Data with GraphDB: GraphDB Fundamentals, Jan 2018Ontotext
 
5 Ruby Gems in 10 minutes - Faraday, Hashie, Twitter, Diametric, and Adamantium
5 Ruby Gems in 10 minutes - Faraday, Hashie, Twitter, Diametric, and Adamantium5 Ruby Gems in 10 minutes - Faraday, Hashie, Twitter, Diametric, and Adamantium
5 Ruby Gems in 10 minutes - Faraday, Hashie, Twitter, Diametric, and AdamantiumJustin Litchfield
 
GraphDB Connectors – Powering Complex SPARQL Queries
GraphDB Connectors – Powering Complex SPARQL QueriesGraphDB Connectors – Powering Complex SPARQL Queries
GraphDB Connectors – Powering Complex SPARQL QueriesMarin Dimitrov
 
Cloud architectures for data science
Cloud architectures for data scienceCloud architectures for data science
Cloud architectures for data scienceMargriet Groenendijk
 
Connected data meetup group - introduction & scope
Connected data meetup group - introduction & scopeConnected data meetup group - introduction & scope
Connected data meetup group - introduction & scopeConnected Data World
 
[Webinar] FactForge Debuts: Trump World Data and Instant Ranking of Industry ...
[Webinar] FactForge Debuts: Trump World Data and Instant Ranking of Industry ...[Webinar] FactForge Debuts: Trump World Data and Instant Ranking of Industry ...
[Webinar] FactForge Debuts: Trump World Data and Instant Ranking of Industry ...Ontotext
 
New Product Introductions - FIZ Karlsruhe
New Product Introductions - FIZ KarlsruheNew Product Introductions - FIZ Karlsruhe
New Product Introductions - FIZ KarlsruheDr. Haxel Consult
 
Smart Data Applications powered by the Wikidata Knowledge Graph
Smart Data Applications powered by the Wikidata Knowledge GraphSmart Data Applications powered by the Wikidata Knowledge Graph
Smart Data Applications powered by the Wikidata Knowledge GraphPeter Haase
 
Fast Data processing with RFX
Fast Data processing with RFXFast Data processing with RFX
Fast Data processing with RFXTrieu Nguyen
 
Discovering Related Data Sources in Data Portals
Discovering Related Data Sources in Data PortalsDiscovering Related Data Sources in Data Portals
Discovering Related Data Sources in Data PortalsPeter Haase
 
Using historical open data for family history - and the value of GB1900 data
Using historical open data for family history - and the value of GB1900 dataUsing historical open data for family history - and the value of GB1900 data
Using historical open data for family history - and the value of GB1900 dataTom Pert
 
PID Services for FAIR data
PID Services for FAIR dataPID Services for FAIR data
PID Services for FAIR dataOpenAIRE
 
PID services - understandability and findability of data
PID services - understandability and findability of dataPID services - understandability and findability of data
PID services - understandability and findability of dataEOSC-hub project
 

Was ist angesagt? (20)

The Power of Semantic Technologies to Explore Linked Open Data
The Power of Semantic Technologies to Explore Linked Open DataThe Power of Semantic Technologies to Explore Linked Open Data
The Power of Semantic Technologies to Explore Linked Open Data
 
ORCID cross-sector application and use cases, Funder workflow: National Resea...
ORCID cross-sector application and use cases, Funder workflow: National Resea...ORCID cross-sector application and use cases, Funder workflow: National Resea...
ORCID cross-sector application and use cases, Funder workflow: National Resea...
 
Querying the Wikidata Knowledge Graph
Querying the Wikidata Knowledge GraphQuerying the Wikidata Knowledge Graph
Querying the Wikidata Knowledge Graph
 
S4: The Self-Service Semantic Suite
S4: The Self-Service Semantic SuiteS4: The Self-Service Semantic Suite
S4: The Self-Service Semantic Suite
 
DataXDay - Real-Time Access log analysis
DataXDay - Real-Time Access log analysis DataXDay - Real-Time Access log analysis
DataXDay - Real-Time Access log analysis
 
New Product Introductions - Minesoft
New Product Introductions - MinesoftNew Product Introductions - Minesoft
New Product Introductions - Minesoft
 
Smarter content with a Dynamic Semantic Publishing Platform
Smarter content with a Dynamic Semantic Publishing PlatformSmarter content with a Dynamic Semantic Publishing Platform
Smarter content with a Dynamic Semantic Publishing Platform
 
Transforming Your Data with GraphDB: GraphDB Fundamentals, Jan 2018
Transforming Your Data with GraphDB: GraphDB Fundamentals, Jan 2018Transforming Your Data with GraphDB: GraphDB Fundamentals, Jan 2018
Transforming Your Data with GraphDB: GraphDB Fundamentals, Jan 2018
 
5 Ruby Gems in 10 minutes - Faraday, Hashie, Twitter, Diametric, and Adamantium
5 Ruby Gems in 10 minutes - Faraday, Hashie, Twitter, Diametric, and Adamantium5 Ruby Gems in 10 minutes - Faraday, Hashie, Twitter, Diametric, and Adamantium
5 Ruby Gems in 10 minutes - Faraday, Hashie, Twitter, Diametric, and Adamantium
 
GraphDB Connectors – Powering Complex SPARQL Queries
GraphDB Connectors – Powering Complex SPARQL QueriesGraphDB Connectors – Powering Complex SPARQL Queries
GraphDB Connectors – Powering Complex SPARQL Queries
 
Cloud architectures for data science
Cloud architectures for data scienceCloud architectures for data science
Cloud architectures for data science
 
Connected data meetup group - introduction & scope
Connected data meetup group - introduction & scopeConnected data meetup group - introduction & scope
Connected data meetup group - introduction & scope
 
[Webinar] FactForge Debuts: Trump World Data and Instant Ranking of Industry ...
[Webinar] FactForge Debuts: Trump World Data and Instant Ranking of Industry ...[Webinar] FactForge Debuts: Trump World Data and Instant Ranking of Industry ...
[Webinar] FactForge Debuts: Trump World Data and Instant Ranking of Industry ...
 
New Product Introductions - FIZ Karlsruhe
New Product Introductions - FIZ KarlsruheNew Product Introductions - FIZ Karlsruhe
New Product Introductions - FIZ Karlsruhe
 
Smart Data Applications powered by the Wikidata Knowledge Graph
Smart Data Applications powered by the Wikidata Knowledge GraphSmart Data Applications powered by the Wikidata Knowledge Graph
Smart Data Applications powered by the Wikidata Knowledge Graph
 
Fast Data processing with RFX
Fast Data processing with RFXFast Data processing with RFX
Fast Data processing with RFX
 
Discovering Related Data Sources in Data Portals
Discovering Related Data Sources in Data PortalsDiscovering Related Data Sources in Data Portals
Discovering Related Data Sources in Data Portals
 
Using historical open data for family history - and the value of GB1900 data
Using historical open data for family history - and the value of GB1900 dataUsing historical open data for family history - and the value of GB1900 data
Using historical open data for family history - and the value of GB1900 data
 
PID Services for FAIR data
PID Services for FAIR dataPID Services for FAIR data
PID Services for FAIR data
 
PID services - understandability and findability of data
PID services - understandability and findability of dataPID services - understandability and findability of data
PID services - understandability and findability of data
 

Ähnlich wie How to get your data into Sindice and Google with sitemap4rdf

Semantic Web
Semantic WebSemantic Web
Semantic Webhardchiu
 
The new CIARD RING , a machine-readable directory of datasets for agriculture
The new CIARD RING, a machine-readable directory of datasets for agricultureThe new CIARD RING, a machine-readable directory of datasets for agriculture
The new CIARD RING , a machine-readable directory of datasets for agricultureValeria Pesce
 
Datasets, APIs, and Web Scraping
Datasets, APIs, and Web ScrapingDatasets, APIs, and Web Scraping
Datasets, APIs, and Web ScrapingDamian T. Gordon
 
Dsp bbc-jem rayfield-semtech2011
Dsp bbc-jem rayfield-semtech2011Dsp bbc-jem rayfield-semtech2011
Dsp bbc-jem rayfield-semtech2011Jem Rayfield
 
Semantic web and Drupal: an introduction
Semantic web and Drupal: an introductionSemantic web and Drupal: an introduction
Semantic web and Drupal: an introductionKristof Van Tomme
 
The CIARD RING , a global directory of datasets for agriculture, by Valeria P...
The CIARD RING, a global directory of datasets for agriculture, by Valeria P...The CIARD RING, a global directory of datasets for agriculture, by Valeria P...
The CIARD RING , a global directory of datasets for agriculture, by Valeria P...CIARD Movement
 
Getting Started With The Talis Platform
Getting Started With The Talis PlatformGetting Started With The Talis Platform
Getting Started With The Talis PlatformLeigh Dodds
 
Open belgium 2015 - open tourism
Open belgium 2015 - open tourismOpen belgium 2015 - open tourism
Open belgium 2015 - open tourismRaf Buyle
 
Publishing Linked Data 3/5 Semtech2011
Publishing Linked Data 3/5 Semtech2011Publishing Linked Data 3/5 Semtech2011
Publishing Linked Data 3/5 Semtech2011Juan Sequeda
 
Smart Crawler: A Two Stage Crawler for Concept Based Semantic Search Engine.
Smart Crawler: A Two Stage Crawler for Concept Based Semantic Search Engine.Smart Crawler: A Two Stage Crawler for Concept Based Semantic Search Engine.
Smart Crawler: A Two Stage Crawler for Concept Based Semantic Search Engine.iosrjce
 
Reto2.011 APEX API
Reto2.011 APEX APIReto2.011 APEX API
Reto2.011 APEX APIreto20
 
The Semantic Web Client Library - Consuming Linked Data in Your Applications
The Semantic Web Client Library - Consuming Linked Data in Your ApplicationsThe Semantic Web Client Library - Consuming Linked Data in Your Applications
The Semantic Web Client Library - Consuming Linked Data in Your ApplicationsOlaf Hartig
 

Ähnlich wie How to get your data into Sindice and Google with sitemap4rdf (20)

Sitemap4rdf(v2 boris)
Sitemap4rdf(v2 boris)Sitemap4rdf(v2 boris)
Sitemap4rdf(v2 boris)
 
Semantic Web
Semantic WebSemantic Web
Semantic Web
 
The new CIARD RING , a machine-readable directory of datasets for agriculture
The new CIARD RING, a machine-readable directory of datasets for agricultureThe new CIARD RING, a machine-readable directory of datasets for agriculture
The new CIARD RING , a machine-readable directory of datasets for agriculture
 
Datasets, APIs, and Web Scraping
Datasets, APIs, and Web ScrapingDatasets, APIs, and Web Scraping
Datasets, APIs, and Web Scraping
 
Drupal and the Semantic Web
Drupal and the Semantic WebDrupal and the Semantic Web
Drupal and the Semantic Web
 
Dsp bbc-jem rayfield-semtech2011
Dsp bbc-jem rayfield-semtech2011Dsp bbc-jem rayfield-semtech2011
Dsp bbc-jem rayfield-semtech2011
 
Web 3 0
Web 3 0Web 3 0
Web 3 0
 
Semantic web and Drupal: an introduction
Semantic web and Drupal: an introductionSemantic web and Drupal: an introduction
Semantic web and Drupal: an introduction
 
The CIARD RING , a global directory of datasets for agriculture, by Valeria P...
The CIARD RING, a global directory of datasets for agriculture, by Valeria P...The CIARD RING, a global directory of datasets for agriculture, by Valeria P...
The CIARD RING , a global directory of datasets for agriculture, by Valeria P...
 
Getting Started With The Talis Platform
Getting Started With The Talis PlatformGetting Started With The Talis Platform
Getting Started With The Talis Platform
 
Microformats
MicroformatsMicroformats
Microformats
 
JahiaOne - Semantic Web with Jahia
JahiaOne - Semantic Web with JahiaJahiaOne - Semantic Web with Jahia
JahiaOne - Semantic Web with Jahia
 
Open belgium 2015 - open tourism
Open belgium 2015 - open tourismOpen belgium 2015 - open tourism
Open belgium 2015 - open tourism
 
Publishing Linked Data 3/5 Semtech2011
Publishing Linked Data 3/5 Semtech2011Publishing Linked Data 3/5 Semtech2011
Publishing Linked Data 3/5 Semtech2011
 
Smart Crawler: A Two Stage Crawler for Concept Based Semantic Search Engine.
Smart Crawler: A Two Stage Crawler for Concept Based Semantic Search Engine.Smart Crawler: A Two Stage Crawler for Concept Based Semantic Search Engine.
Smart Crawler: A Two Stage Crawler for Concept Based Semantic Search Engine.
 
E017624043
E017624043E017624043
E017624043
 
NCompass Live: RSS: Feed Me
NCompass Live: RSS: Feed MeNCompass Live: RSS: Feed Me
NCompass Live: RSS: Feed Me
 
Reto2.011 APEX API
Reto2.011 APEX APIReto2.011 APEX API
Reto2.011 APEX API
 
The Semantic Web Client Library - Consuming Linked Data in Your Applications
The Semantic Web Client Library - Consuming Linked Data in Your ApplicationsThe Semantic Web Client Library - Consuming Linked Data in Your Applications
The Semantic Web Client Library - Consuming Linked Data in Your Applications
 
LOD技術解説
LOD技術解説LOD技術解説
LOD技術解説
 

Mehr von Richard Cyganiak

SHACL: Shaping the Big Ball of Data Mud
SHACL: Shaping the Big Ball of Data MudSHACL: Shaping the Big Ball of Data Mud
SHACL: Shaping the Big Ball of Data MudRichard Cyganiak
 
EDF2012: The Web of Data and its Five Stars
EDF2012: The Web of Data and its Five StarsEDF2012: The Web of Data and its Five Stars
EDF2012: The Web of Data and its Five StarsRichard Cyganiak
 
VoID: Metadata for RDF Datasets
VoID: Metadata for RDF DatasetsVoID: Metadata for RDF Datasets
VoID: Metadata for RDF DatasetsRichard Cyganiak
 
Practical Cross-Dataset Queries with SPARQL (Introduction)
Practical Cross-Dataset Queries with SPARQL (Introduction)Practical Cross-Dataset Queries with SPARQL (Introduction)
Practical Cross-Dataset Queries with SPARQL (Introduction)Richard Cyganiak
 
Sigma EE: Reaping low-hanging fruits in RDF-based data integration
Sigma EE: Reaping low-hanging fruits in RDF-based data integrationSigma EE: Reaping low-hanging fruits in RDF-based data integration
Sigma EE: Reaping low-hanging fruits in RDF-based data integrationRichard Cyganiak
 
Investigating Community Implementation of the GoodRelations Ontology
Investigating Community Implementation of the GoodRelations OntologyInvestigating Community Implementation of the GoodRelations Ontology
Investigating Community Implementation of the GoodRelations OntologyRichard Cyganiak
 
Self-Service Linked Government Data with dcat and Gridworks
Self-Service Linked Government Data with dcat and GridworksSelf-Service Linked Government Data with dcat and Gridworks
Self-Service Linked Government Data with dcat and GridworksRichard Cyganiak
 
The State of Linked Government Data
The State of Linked Government DataThe State of Linked Government Data
The State of Linked Government DataRichard Cyganiak
 
dcat: An RDF vocabulary for interoperability of data catalogues
dcat: An RDF vocabulary for interoperability of data cataloguesdcat: An RDF vocabulary for interoperability of data catalogues
dcat: An RDF vocabulary for interoperability of data cataloguesRichard Cyganiak
 

Mehr von Richard Cyganiak (12)

SHACL: Shaping the Big Ball of Data Mud
SHACL: Shaping the Big Ball of Data MudSHACL: Shaping the Big Ball of Data Mud
SHACL: Shaping the Big Ball of Data Mud
 
What's New in RDF 1.1?
What's New in RDF 1.1?What's New in RDF 1.1?
What's New in RDF 1.1?
 
EDF2012: The Web of Data and its Five Stars
EDF2012: The Web of Data and its Five StarsEDF2012: The Web of Data and its Five Stars
EDF2012: The Web of Data and its Five Stars
 
VoID: Metadata for RDF Datasets
VoID: Metadata for RDF DatasetsVoID: Metadata for RDF Datasets
VoID: Metadata for RDF Datasets
 
Practical Cross-Dataset Queries with SPARQL (Introduction)
Practical Cross-Dataset Queries with SPARQL (Introduction)Practical Cross-Dataset Queries with SPARQL (Introduction)
Practical Cross-Dataset Queries with SPARQL (Introduction)
 
How to Publish Open Data
How to Publish Open DataHow to Publish Open Data
How to Publish Open Data
 
Sigma EE: Reaping low-hanging fruits in RDF-based data integration
Sigma EE: Reaping low-hanging fruits in RDF-based data integrationSigma EE: Reaping low-hanging fruits in RDF-based data integration
Sigma EE: Reaping low-hanging fruits in RDF-based data integration
 
Investigating Community Implementation of the GoodRelations Ontology
Investigating Community Implementation of the GoodRelations OntologyInvestigating Community Implementation of the GoodRelations Ontology
Investigating Community Implementation of the GoodRelations Ontology
 
Self-Service Linked Government Data with dcat and Gridworks
Self-Service Linked Government Data with dcat and GridworksSelf-Service Linked Government Data with dcat and Gridworks
Self-Service Linked Government Data with dcat and Gridworks
 
The State of Linked Government Data
The State of Linked Government DataThe State of Linked Government Data
The State of Linked Government Data
 
What is SDMX-RDF?
What is SDMX-RDF?What is SDMX-RDF?
What is SDMX-RDF?
 
dcat: An RDF vocabulary for interoperability of data catalogues
dcat: An RDF vocabulary for interoperability of data cataloguesdcat: An RDF vocabulary for interoperability of data catalogues
dcat: An RDF vocabulary for interoperability of data catalogues
 

Kürzlich hochgeladen

Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesZilliz
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfSeasiaInfotech2
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024The Digital Insurer
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 

Kürzlich hochgeladen (20)

Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector Databases
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdf
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 

How to get your data into Sindice and Google with sitemap4rdf

  • 1. How to get your data into Sindice and Google with sitemap4rdf Boris Villazón-Terrazas (OEG), Richard Cyganiak (DERI)
  • 2. Publishing Linked Data from a triple store
  • 3. Linked Data frontends for triple stores Source: Pubby website, http://www4.wiwiss.fu-berlin.de/pubby/
  • 5. Sindice: the best RDF search engine
  • 6. Sindice: the best RDF search engine 120M+ documents Continuously updating since 2006 Low-latency search API RDF/XML, Turtle, RDFa, microformats
  • 8. Sitemap Protocol Used by web crawlers Efficiently find all your content & discover what has been updated http://sitemaps.org/
  • 9. Sitemap Protocol: Simple example <?xml version="1.0" encoding="UTF-8"?> <urlsetxmlns="http://www.sitemaps.org/schemas/sitemap/0.9"> <url> <loc>http://yoursite/</loc> </url> <url> <loc>http://yoursite/products/53546</loc> </url> <url> <loc>http://yoursite/products/98421</loc> </url> <url> <loc>http://yoursite/products/41003</loc> </url> </urlset>
  • 10. Sitemap Protocol: Optional parts <?xml version="1.0" encoding="UTF-8"?> <urlsetxmlns="http://www.sitemaps.org/schemas/sitemap/0.9"> <url> <loc>http://yoursite/</loc> <lastmod>2010-06-24</lastmod> <changefreq>daily</changefreq> </url> </urlset>
  • 11. Sitemap Protocol: Huge sitemaps Gzip-compress your sitemap Limit: 50k URLs or 10MB split into multiple sitemap files add a sitemap index file
  • 12. Sitemap Protocol: Discovery Publish the sitemap file Add a line to http://yoursite/robots.txt Sitemap: http://yoursite/sitemap.xml
  • 13. sitemap4rdf Generate Sitemap files from a SPARQL endpoint
  • 14. sitemap4rdf Simple command line tool Sends a SPARQL query to list all URIs Generates sitemap sitemap4rdf http://yoursite/sparql http://yoursite/resource/
  • 15. Submit the sitemap location - Sindice http://sindice.com/main/submit
  • 16. Submit the sitemap location - Google https://www.google.com/webmasters/tools/
  • 17. Summary Sitemap protocol informs search engines about available pages Supported by Sindice! sitemap4rdf generates Sitemap files by listing URIs in a SPARQL endpoint Open source, Java http://lab.linkeddata.deri.ie/2010/sitemap4rdf/