SlideShare a Scribd company logo
1 of 25
Download to read offline
RESTorestful semantic search tool for geospatial
Jérôme Gasperi
RESTo - restful semantic search tool for geospatial
is an implementation of OGC13-026 OpenSearch
Extension for Earth Observation
Architecture
PostgreSQL
Gazetteer
Collection	

Manager
Resource	

Manager
Query	

Storage
Query	

Analyzer
RESTo modules
More to
come...
RESTo backend
PostGIS
hstore
uses
RESTofrontend
mapshup iTag
Core
RESTo
External services
resto db
EO
collections *
(*) Collections can be stored within
RESTo database or in external
databases
PHP
javascript PHP
RESTo
Services
Admin
https POST
Ingest metadata
INGEST
ScriptsDownload
http GET
THEIA
metacatalog
HMA
catalog
CEOS
http GET
(ATOM, GeoJSON)
User
http GET
SEARCH
(HTML)
R R Rreliablerestful responsive
Rrestful
GET / List all collections
POST / Create a new collection
GET /collection/$describe Describe collection OpenSearch service
GET /collection Search collection
POST /collection Insert a resource within collection
DELETE /collection Delete collection
PUT /collection Update collection
GET /collection/identifier Show resource metadata
GET /collection/identifier/$download Download resource product
Rresponsive
DesktopsTabletsMobiles
0 to 500 px 501 to 959 px 960 to > 1280 px
Rreliable
Time period of 1 month within a 10x10 km2 box
SEARCH
INGEST
0.2s
0.5s
1 000 000
SPOT DATABASENew products retrieved every 3 hours from ADS catalog
Per product for a ~5000 products ingestion
Order of magnitude compute on a Dual Core 2.6 GHz | 4 Go RAM | HDD 500 To
RRESTo
IngestSearch
POSTGET
RRESTo
Ingest
POST
During ingestion process , resources are automatically
tagged with location and land use
github.com/jjrom/itag
!
Tag this footprint with continent, country and Land use
!
http://goo.gl/WtbcbR

iTag
Additionally, conditional ingestion rules can be defined at
the collection level to provide specific tags
Add tags #mh370,#plane,#malaysianairline
to resources acquired between 2014, march 8th and 2014, april 14th
in the south of the Indian Ocean
!
http://goo.gl/W8VlPV
e.g.
RRESTo
Search
GET
RESTo provides semantic search capabilities
It uses a Query Analyzer to translate natural language query into
a set of EO OpenSearch parameters
Query Analyzer goodies
Multilingual - current languages are EN, FR, IT and DE
Synonyms supported (e.g. unit «m» is «m», «meter» or «meters»)
Each collection can define its own dedicated keywords
Automatic typing error correction using similarity
Embed a Gazetteer containing ~9 000 000 toponyms
« Images of urban area in the US acquired in the last 10 days with less than 5 % of cloud cover »
Example
« Images of urban area in the US acquired in the last 10 days with less than 5 % of cloud cover »
Example
keyword location date acquisition parameter
2. Each search result has an « human readable url » that can
be indexed by web crawler (i.e. google robots)
1. Search parameters are derived from
Natural Language query
3. Keywords on resources are links to search requests :
they can be indexed by web crawler…and so on
Search (example)
2. Each search result has an « human readable url » that can
be indexed by web crawler (i.e. google robots)
1. Search parameters are derived from
Natural Language query
3. Keywords on resources are links to search requests :
they can be indexed by web crawler…and so on
Search (example)
http://goo.gl/GvMEHj
http://mapshup.info/resto
!
github.com/jjrom/resto

More Related Content

What's hot

Papyri.info's Linked Data Story
Papyri.info's Linked Data StoryPapyri.info's Linked Data Story
Papyri.info's Linked Data StoryHugh Cayless
 
The Directions Pipeline at Mapbox - AWS Meetup Berlin June 2015
The Directions Pipeline at Mapbox - AWS Meetup Berlin June 2015The Directions Pipeline at Mapbox - AWS Meetup Berlin June 2015
The Directions Pipeline at Mapbox - AWS Meetup Berlin June 2015Johan
 
What is Dictionary In Python? Python Dictionary Tutorial | Edureka
What is Dictionary In Python? Python Dictionary Tutorial | EdurekaWhat is Dictionary In Python? Python Dictionary Tutorial | Edureka
What is Dictionary In Python? Python Dictionary Tutorial | EdurekaEdureka!
 
Mapreduce in Search
Mapreduce in SearchMapreduce in Search
Mapreduce in SearchAmund Tveit
 
DataStructure Concepts-HEAP,HASH,Graph
DataStructure Concepts-HEAP,HASH,GraphDataStructure Concepts-HEAP,HASH,Graph
DataStructure Concepts-HEAP,HASH,GraphDurgadevi palani
 
Big Data Science with H2O in R
Big Data Science with H2O in RBig Data Science with H2O in R
Big Data Science with H2O in RAnqi Fu
 
Big Data Day LA 2015 - Large Scale Distinct Count -- The HyperLogLog algorith...
Big Data Day LA 2015 - Large Scale Distinct Count -- The HyperLogLog algorith...Big Data Day LA 2015 - Large Scale Distinct Count -- The HyperLogLog algorith...
Big Data Day LA 2015 - Large Scale Distinct Count -- The HyperLogLog algorith...Data Con LA
 
Android Lab Test : Reading the foot file list (english)
Android Lab Test : Reading the foot file list (english)Android Lab Test : Reading the foot file list (english)
Android Lab Test : Reading the foot file list (english)Bruno Delb
 
Big Data & Hadoop Data Analysis
Big Data & Hadoop Data AnalysisBig Data & Hadoop Data Analysis
Big Data & Hadoop Data AnalysisKoushik Mondal
 
HyperLogLog in Hive - How to count sheep efficiently?
HyperLogLog in Hive - How to count sheep efficiently?HyperLogLog in Hive - How to count sheep efficiently?
HyperLogLog in Hive - How to count sheep efficiently?bzamecnik
 
Using Free and Open Source GIS to Automatically Create Standards-Based Spatia...
Using Free and Open Source GIS to Automatically Create Standards-Based Spatia...Using Free and Open Source GIS to Automatically Create Standards-Based Spatia...
Using Free and Open Source GIS to Automatically Create Standards-Based Spatia...Patrick Rickles
 
PyCon 2012 - Data Driven Design
PyCon 2012 -  Data Driven DesignPyCon 2012 -  Data Driven Design
PyCon 2012 - Data Driven DesignMax Klymyshyn
 
Repl internals
Repl internalsRepl internals
Repl internalsMongoDB
 

What's hot (20)

Papyri.info's Linked Data Story
Papyri.info's Linked Data StoryPapyri.info's Linked Data Story
Papyri.info's Linked Data Story
 
The Directions Pipeline at Mapbox - AWS Meetup Berlin June 2015
The Directions Pipeline at Mapbox - AWS Meetup Berlin June 2015The Directions Pipeline at Mapbox - AWS Meetup Berlin June 2015
The Directions Pipeline at Mapbox - AWS Meetup Berlin June 2015
 
Influxdb and time series data
Influxdb and time series dataInfluxdb and time series data
Influxdb and time series data
 
2014 moore-ddd
2014 moore-ddd2014 moore-ddd
2014 moore-ddd
 
What is Dictionary In Python? Python Dictionary Tutorial | Edureka
What is Dictionary In Python? Python Dictionary Tutorial | EdurekaWhat is Dictionary In Python? Python Dictionary Tutorial | Edureka
What is Dictionary In Python? Python Dictionary Tutorial | Edureka
 
Be lazy & scale
Be lazy & scaleBe lazy & scale
Be lazy & scale
 
Mapreduce in Search
Mapreduce in SearchMapreduce in Search
Mapreduce in Search
 
Big data
Big dataBig data
Big data
 
DataStructure Concepts-HEAP,HASH,Graph
DataStructure Concepts-HEAP,HASH,GraphDataStructure Concepts-HEAP,HASH,Graph
DataStructure Concepts-HEAP,HASH,Graph
 
Big Data Science with H2O in R
Big Data Science with H2O in RBig Data Science with H2O in R
Big Data Science with H2O in R
 
Team3 presentation
Team3 presentationTeam3 presentation
Team3 presentation
 
Big Data Day LA 2015 - Large Scale Distinct Count -- The HyperLogLog algorith...
Big Data Day LA 2015 - Large Scale Distinct Count -- The HyperLogLog algorith...Big Data Day LA 2015 - Large Scale Distinct Count -- The HyperLogLog algorith...
Big Data Day LA 2015 - Large Scale Distinct Count -- The HyperLogLog algorith...
 
Android Lab Test : Reading the foot file list (english)
Android Lab Test : Reading the foot file list (english)Android Lab Test : Reading the foot file list (english)
Android Lab Test : Reading the foot file list (english)
 
Big Data & Hadoop Data Analysis
Big Data & Hadoop Data AnalysisBig Data & Hadoop Data Analysis
Big Data & Hadoop Data Analysis
 
Cscope and ctags
Cscope and ctagsCscope and ctags
Cscope and ctags
 
Insight_150115_Demo
Insight_150115_DemoInsight_150115_Demo
Insight_150115_Demo
 
HyperLogLog in Hive - How to count sheep efficiently?
HyperLogLog in Hive - How to count sheep efficiently?HyperLogLog in Hive - How to count sheep efficiently?
HyperLogLog in Hive - How to count sheep efficiently?
 
Using Free and Open Source GIS to Automatically Create Standards-Based Spatia...
Using Free and Open Source GIS to Automatically Create Standards-Based Spatia...Using Free and Open Source GIS to Automatically Create Standards-Based Spatia...
Using Free and Open Source GIS to Automatically Create Standards-Based Spatia...
 
PyCon 2012 - Data Driven Design
PyCon 2012 -  Data Driven DesignPyCon 2012 -  Data Driven Design
PyCon 2012 - Data Driven Design
 
Repl internals
Repl internalsRepl internals
Repl internals
 

Similar to RESTo - restful semantic search tool for geospatial

Semantic search within Earth Observation products databases based on automati...
Semantic search within Earth Observation products databases based on automati...Semantic search within Earth Observation products databases based on automati...
Semantic search within Earth Observation products databases based on automati...Gasperi Jerome
 
Letting In the Light: Using Solr as an External Search Component
Letting In the Light: Using Solr as an External Search ComponentLetting In the Light: Using Solr as an External Search Component
Letting In the Light: Using Solr as an External Search ComponentJay Luker
 
Relevance trilogy may dream be with you! (dec17)
Relevance trilogy  may dream be with you! (dec17)Relevance trilogy  may dream be with you! (dec17)
Relevance trilogy may dream be with you! (dec17)Woonsan Ko
 
Cross-Platform Native Mobile Development with Eclipse
Cross-Platform Native Mobile Development with EclipseCross-Platform Native Mobile Development with Eclipse
Cross-Platform Native Mobile Development with EclipsePeter Friese
 
Visualizing Austin's data with Elasticsearch and Kibana
Visualizing Austin's data with Elasticsearch and KibanaVisualizing Austin's data with Elasticsearch and Kibana
Visualizing Austin's data with Elasticsearch and KibanaObjectRocket
 
Django tech-talk
Django tech-talkDjango tech-talk
Django tech-talkdtdannen
 
Introduction to Elasticsearch with basics of Lucene
Introduction to Elasticsearch with basics of LuceneIntroduction to Elasticsearch with basics of Lucene
Introduction to Elasticsearch with basics of LuceneRahul Jain
 
An Intro to Elasticsearch and Kibana
An Intro to Elasticsearch and KibanaAn Intro to Elasticsearch and Kibana
An Intro to Elasticsearch and KibanaObjectRocket
 
ELK-Stack-Grid-KA-School.pptx
ELK-Stack-Grid-KA-School.pptxELK-Stack-Grid-KA-School.pptx
ELK-Stack-Grid-KA-School.pptxabenyeung1
 
Cloud native programming model comparison
Cloud native programming model comparisonCloud native programming model comparison
Cloud native programming model comparisonEmily Jiang
 
Advanced full text searching techniques using Lucene
Advanced full text searching techniques using LuceneAdvanced full text searching techniques using Lucene
Advanced full text searching techniques using LuceneAsad Abbas
 
Web data from R
Web data from RWeb data from R
Web data from Rschamber
 
Deep dive into the native multi model database ArangoDB
Deep dive into the native multi model database ArangoDBDeep dive into the native multi model database ArangoDB
Deep dive into the native multi model database ArangoDBArangoDB Database
 
Prototyping applications with heroku and elasticsearch
 Prototyping applications with heroku and elasticsearch Prototyping applications with heroku and elasticsearch
Prototyping applications with heroku and elasticsearchprotofy
 
Lucene Introduction
Lucene IntroductionLucene Introduction
Lucene Introductionotisg
 

Similar to RESTo - restful semantic search tool for geospatial (20)

Semantic search within Earth Observation products databases based on automati...
Semantic search within Earth Observation products databases based on automati...Semantic search within Earth Observation products databases based on automati...
Semantic search within Earth Observation products databases based on automati...
 
IR with lucene
IR with luceneIR with lucene
IR with lucene
 
Letting In the Light: Using Solr as an External Search Component
Letting In the Light: Using Solr as an External Search ComponentLetting In the Light: Using Solr as an External Search Component
Letting In the Light: Using Solr as an External Search Component
 
Relevance trilogy may dream be with you! (dec17)
Relevance trilogy  may dream be with you! (dec17)Relevance trilogy  may dream be with you! (dec17)
Relevance trilogy may dream be with you! (dec17)
 
Cross-Platform Native Mobile Development with Eclipse
Cross-Platform Native Mobile Development with EclipseCross-Platform Native Mobile Development with Eclipse
Cross-Platform Native Mobile Development with Eclipse
 
Visualizing Austin's data with Elasticsearch and Kibana
Visualizing Austin's data with Elasticsearch and KibanaVisualizing Austin's data with Elasticsearch and Kibana
Visualizing Austin's data with Elasticsearch and Kibana
 
Django tech-talk
Django tech-talkDjango tech-talk
Django tech-talk
 
Introduction to Elasticsearch with basics of Lucene
Introduction to Elasticsearch with basics of LuceneIntroduction to Elasticsearch with basics of Lucene
Introduction to Elasticsearch with basics of Lucene
 
An Intro to Elasticsearch and Kibana
An Intro to Elasticsearch and KibanaAn Intro to Elasticsearch and Kibana
An Intro to Elasticsearch and Kibana
 
Elasticsearch as a Database?
Elasticsearch as a Database?Elasticsearch as a Database?
Elasticsearch as a Database?
 
Elasticsearch as a Database?
Elasticsearch as a Database?Elasticsearch as a Database?
Elasticsearch as a Database?
 
ELK-Stack-Grid-KA-School.pptx
ELK-Stack-Grid-KA-School.pptxELK-Stack-Grid-KA-School.pptx
ELK-Stack-Grid-KA-School.pptx
 
Cloud native programming model comparison
Cloud native programming model comparisonCloud native programming model comparison
Cloud native programming model comparison
 
NetBase API Presentation
NetBase API PresentationNetBase API Presentation
NetBase API Presentation
 
Advanced full text searching techniques using Lucene
Advanced full text searching techniques using LuceneAdvanced full text searching techniques using Lucene
Advanced full text searching techniques using Lucene
 
Web data from R
Web data from RWeb data from R
Web data from R
 
Deep dive into the native multi model database ArangoDB
Deep dive into the native multi model database ArangoDBDeep dive into the native multi model database ArangoDB
Deep dive into the native multi model database ArangoDB
 
PoolParty Search Server
PoolParty Search ServerPoolParty Search Server
PoolParty Search Server
 
Prototyping applications with heroku and elasticsearch
 Prototyping applications with heroku and elasticsearch Prototyping applications with heroku and elasticsearch
Prototyping applications with heroku and elasticsearch
 
Lucene Introduction
Lucene IntroductionLucene Introduction
Lucene Introduction
 

More from Gasperi Jerome

Big data from space - Module Big Data ISAE 2017
Big data from space - Module Big Data ISAE 2017Big data from space - Module Big Data ISAE 2017
Big data from space - Module Big Data ISAE 2017Gasperi Jerome
 
Le Big Data et les données Copernicus
Le Big Data et les données CopernicusLe Big Data et les données Copernicus
Le Big Data et les données CopernicusGasperi Jerome
 
2016.02.18 big data from space toulouse data science
2016.02.18   big data from space    toulouse data science2016.02.18   big data from space    toulouse data science
2016.02.18 big data from space toulouse data scienceGasperi Jerome
 
2015.11.12 big data from space - cusi toulouse
2015.11.12   big data from space - cusi toulouse2015.11.12   big data from space - cusi toulouse
2015.11.12 big data from space - cusi toulouseGasperi Jerome
 
Big Data - Accès et traitement des données d’Observation de laTerre
Big Data - Accès et traitement des données d’Observation de laTerreBig Data - Accès et traitement des données d’Observation de laTerre
Big Data - Accès et traitement des données d’Observation de laTerreGasperi Jerome
 
2014.09.04 federated ground segments - toulouse
2014.09.04   federated ground segments - toulouse2014.09.04   federated ground segments - toulouse
2014.09.04 federated ground segments - toulouseGasperi Jerome
 
Web Processing Service
Web Processing ServiceWeb Processing Service
Web Processing ServiceGasperi Jerome
 
2014.04.22 - HyDre - Hydroweb Distribution Server
2014.04.22 - HyDre - Hydroweb Distribution Server2014.04.22 - HyDre - Hydroweb Distribution Server
2014.04.22 - HyDre - Hydroweb Distribution ServerGasperi Jerome
 
Semantic search for Earth Observation products
Semantic search for Earth Observation productsSemantic search for Earth Observation products
Semantic search for Earth Observation productsGasperi Jerome
 
Single Sign On with OAuth and OpenID
Single Sign On with OAuth and OpenIDSingle Sign On with OAuth and OpenID
Single Sign On with OAuth and OpenIDGasperi Jerome
 
CNES OpenSearch implementations
CNES OpenSearch implementationsCNES OpenSearch implementations
CNES OpenSearch implementationsGasperi Jerome
 
Web Processing Service
Web Processing ServiceWeb Processing Service
Web Processing ServiceGasperi Jerome
 
Unify Earth Observation products access with OpenSearch
Unify Earth Observation products access with OpenSearchUnify Earth Observation products access with OpenSearch
Unify Earth Observation products access with OpenSearchGasperi Jerome
 
CNES activities on semantic search
CNES activities on semantic searchCNES activities on semantic search
CNES activities on semantic searchGasperi Jerome
 
Traitements de données à la demande - Introduction au Web Processing Service
Traitements de données à la demande - Introduction au Web Processing ServiceTraitements de données à la demande - Introduction au Web Processing Service
Traitements de données à la demande - Introduction au Web Processing ServiceGasperi Jerome
 
Data access and data extraction services within the Land Imagery Portal
Data access and data extraction services within the Land Imagery PortalData access and data extraction services within the Land Imagery Portal
Data access and data extraction services within the Land Imagery PortalGasperi Jerome
 
Semantic search applied to Earth Observation products
Semantic search applied to Earth Observation productsSemantic search applied to Earth Observation products
Semantic search applied to Earth Observation productsGasperi Jerome
 
Accès à l’information satellitaire dans un contexte réactif de catastrophe na...
Accès à l’information satellitaire dans un contexte réactif de catastrophe na...Accès à l’information satellitaire dans un contexte réactif de catastrophe na...
Accès à l’information satellitaire dans un contexte réactif de catastrophe na...Gasperi Jerome
 
Experimenting a cloud based solution for image processing and data access
Experimenting a cloud based solution for image processing and data accessExperimenting a cloud based solution for image processing and data access
Experimenting a cloud based solution for image processing and data accessGasperi Jerome
 

More from Gasperi Jerome (20)

Big data from space - Module Big Data ISAE 2017
Big data from space - Module Big Data ISAE 2017Big data from space - Module Big Data ISAE 2017
Big data from space - Module Big Data ISAE 2017
 
Le Big Data et les données Copernicus
Le Big Data et les données CopernicusLe Big Data et les données Copernicus
Le Big Data et les données Copernicus
 
2016.02.18 big data from space toulouse data science
2016.02.18   big data from space    toulouse data science2016.02.18   big data from space    toulouse data science
2016.02.18 big data from space toulouse data science
 
2015.11.12 big data from space - cusi toulouse
2015.11.12   big data from space - cusi toulouse2015.11.12   big data from space - cusi toulouse
2015.11.12 big data from space - cusi toulouse
 
Big Data - Accès et traitement des données d’Observation de laTerre
Big Data - Accès et traitement des données d’Observation de laTerreBig Data - Accès et traitement des données d’Observation de laTerre
Big Data - Accès et traitement des données d’Observation de laTerre
 
2014.09.04 federated ground segments - toulouse
2014.09.04   federated ground segments - toulouse2014.09.04   federated ground segments - toulouse
2014.09.04 federated ground segments - toulouse
 
Web Processing Service
Web Processing ServiceWeb Processing Service
Web Processing Service
 
2014.04.22 - HyDre - Hydroweb Distribution Server
2014.04.22 - HyDre - Hydroweb Distribution Server2014.04.22 - HyDre - Hydroweb Distribution Server
2014.04.22 - HyDre - Hydroweb Distribution Server
 
Semantic search for Earth Observation products
Semantic search for Earth Observation productsSemantic search for Earth Observation products
Semantic search for Earth Observation products
 
Single Sign On with OAuth and OpenID
Single Sign On with OAuth and OpenIDSingle Sign On with OAuth and OpenID
Single Sign On with OAuth and OpenID
 
CNES Data Center
CNES Data CenterCNES Data Center
CNES Data Center
 
CNES OpenSearch implementations
CNES OpenSearch implementationsCNES OpenSearch implementations
CNES OpenSearch implementations
 
Web Processing Service
Web Processing ServiceWeb Processing Service
Web Processing Service
 
Unify Earth Observation products access with OpenSearch
Unify Earth Observation products access with OpenSearchUnify Earth Observation products access with OpenSearch
Unify Earth Observation products access with OpenSearch
 
CNES activities on semantic search
CNES activities on semantic searchCNES activities on semantic search
CNES activities on semantic search
 
Traitements de données à la demande - Introduction au Web Processing Service
Traitements de données à la demande - Introduction au Web Processing ServiceTraitements de données à la demande - Introduction au Web Processing Service
Traitements de données à la demande - Introduction au Web Processing Service
 
Data access and data extraction services within the Land Imagery Portal
Data access and data extraction services within the Land Imagery PortalData access and data extraction services within the Land Imagery Portal
Data access and data extraction services within the Land Imagery Portal
 
Semantic search applied to Earth Observation products
Semantic search applied to Earth Observation productsSemantic search applied to Earth Observation products
Semantic search applied to Earth Observation products
 
Accès à l’information satellitaire dans un contexte réactif de catastrophe na...
Accès à l’information satellitaire dans un contexte réactif de catastrophe na...Accès à l’information satellitaire dans un contexte réactif de catastrophe na...
Accès à l’information satellitaire dans un contexte réactif de catastrophe na...
 
Experimenting a cloud based solution for image processing and data access
Experimenting a cloud based solution for image processing and data accessExperimenting a cloud based solution for image processing and data access
Experimenting a cloud based solution for image processing and data access
 

Recently uploaded

The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitecturePixlogix Infotech
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Alan Dix
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...HostedbyConfluent
 
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...gurkirankumar98700
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 

Recently uploaded (20)

The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
 
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 

RESTo - restful semantic search tool for geospatial

  • 1. RESTorestful semantic search tool for geospatial Jérôme Gasperi
  • 2. RESTo - restful semantic search tool for geospatial is an implementation of OGC13-026 OpenSearch Extension for Earth Observation
  • 3. Architecture PostgreSQL Gazetteer Collection Manager Resource Manager Query Storage Query Analyzer RESTo modules More to come... RESTo backend PostGIS hstore uses RESTofrontend mapshup iTag Core RESTo External services resto db EO collections * (*) Collections can be stored within RESTo database or in external databases PHP javascript PHP
  • 4. RESTo Services Admin https POST Ingest metadata INGEST ScriptsDownload http GET THEIA metacatalog HMA catalog CEOS http GET (ATOM, GeoJSON) User http GET SEARCH (HTML)
  • 5. R R Rreliablerestful responsive
  • 7. GET / List all collections POST / Create a new collection GET /collection/$describe Describe collection OpenSearch service GET /collection Search collection POST /collection Insert a resource within collection DELETE /collection Delete collection PUT /collection Update collection GET /collection/identifier Show resource metadata GET /collection/identifier/$download Download resource product
  • 9. DesktopsTabletsMobiles 0 to 500 px 501 to 959 px 960 to > 1280 px
  • 11. Time period of 1 month within a 10x10 km2 box SEARCH INGEST 0.2s 0.5s 1 000 000 SPOT DATABASENew products retrieved every 3 hours from ADS catalog Per product for a ~5000 products ingestion Order of magnitude compute on a Dual Core 2.6 GHz | 4 Go RAM | HDD 500 To
  • 14. During ingestion process , resources are automatically tagged with location and land use github.com/jjrom/itag
  • 15. ! Tag this footprint with continent, country and Land use ! http://goo.gl/WtbcbR
 iTag
  • 16. Additionally, conditional ingestion rules can be defined at the collection level to provide specific tags Add tags #mh370,#plane,#malaysianairline to resources acquired between 2014, march 8th and 2014, april 14th in the south of the Indian Ocean ! http://goo.gl/W8VlPV e.g.
  • 18. RESTo provides semantic search capabilities It uses a Query Analyzer to translate natural language query into a set of EO OpenSearch parameters
  • 19. Query Analyzer goodies Multilingual - current languages are EN, FR, IT and DE Synonyms supported (e.g. unit «m» is «m», «meter» or «meters») Each collection can define its own dedicated keywords Automatic typing error correction using similarity Embed a Gazetteer containing ~9 000 000 toponyms
  • 20. « Images of urban area in the US acquired in the last 10 days with less than 5 % of cloud cover » Example
  • 21. « Images of urban area in the US acquired in the last 10 days with less than 5 % of cloud cover » Example keyword location date acquisition parameter
  • 22. 2. Each search result has an « human readable url » that can be indexed by web crawler (i.e. google robots) 1. Search parameters are derived from Natural Language query 3. Keywords on resources are links to search requests : they can be indexed by web crawler…and so on Search (example)
  • 23. 2. Each search result has an « human readable url » that can be indexed by web crawler (i.e. google robots) 1. Search parameters are derived from Natural Language query 3. Keywords on resources are links to search requests : they can be indexed by web crawler…and so on Search (example) http://goo.gl/GvMEHj