SlideShare una empresa de Scribd logo
1 de 34
Descargar para leer sin conexión
ELIS – Multimedia Lab




           RESTdesc
   Efficient runtime service
 discovery and consumption.

            Ruben Verborgh, Thomas Steiner,
Davy Van Deursen, Rik Van de Walle, Joaquim Gabarró Vallés
ELIS – Multimedia Lab
                Talking with others is difficult
                    when you’re different.




                                              RESTdesc
© Jule Berlin           Efficient runtime service discovery and consumption.                           2
ELIS – Multimedia Lab




                                                   The goal is not
                                    RESTdesc
                                                    to blend in…
© Eric Vest   Efficient runtime service discovery and consumption.                           3
ELIS – Multimedia Lab




  …but to
 stand out.




                                             RESTdesc
© Nicholas Kreidberg   Efficient runtime service discovery and consumption.                           4
What makes a Web service
 stand out from others?




   Functionality.
Capturing functionality
 is vital for automated
service consumption.
ELIS – Multimedia Lab




       RESTdesc
  Efficient runtime service
discovery and consumption.

1. Why? – need and challenges

2. What? – syntax and structure

3. So what? – benefits and potential



                                RESTdesc
          Efficient runtime service discovery and consumption.                           7
ELIS – Multimedia Lab




       RESTdesc
  Efficient runtime service
discovery and consumption.

1. Why? – need and challenges

2. What? – syntax and structure

3. So what? – benefits and potential



                                RESTdesc
          Efficient runtime service discovery and consumption.                           8
ELIS – Multimedia Lab


Example service: calculating photo height




                                                                                        768




photo height service
send a photo, retrieve its height in pixels


                                     RESTdesc
               Efficient runtime service discovery and consumption.                           9
ELIS – Multimedia Lab


 Several service description methods exist.




FACT: there are already lots of ways to describe that
 • the input is an image;
 • the output is a height in pixels.

FACT: none of them really helps... wait?




                                        RESTdesc
                  Efficient runtime service discovery and consumption.                           10
ELIS – Multimedia Lab


       They don’t describe functionality.



         53                                                    768                       23.489




What height in pixels?

 • The height of the face rectangle in the image?
 • The optimal height on a certain mobile device?
 • The height of the costume, mysteriously converted to pixels?

                                          RESTdesc
                    Efficient runtime service discovery and consumption.                           11
ELIS – Multimedia Lab


Functional descriptions tell the whole story.



                                                                   768




What height in pixels?
Only the functional relation tells us this:


send a photo, retrieve its height in pixels



                                        RESTdesc
                  Efficient runtime service discovery and consumption.                           12
ELIS – Multimedia Lab




       RESTdesc
  Efficient runtime service
discovery and consumption.

1. Why? – need and challenges

2. What? – syntax and structure

3. So what? – benefits and potential



                                RESTdesc
          Efficient runtime service discovery and consumption.                           13
ELIS – Multimedia Lab


           Ingredients of RESTdesc




• HTTP
  • resources




                                      RESTdesc
                Efficient runtime service discovery and consumption.                           14
ELIS – Multimedia Lab


REST-style HTTP is resource-oriented.
        http://example.com/images/wolfie
        This is a resource.



                       http://example.com/images/wolfie/height
                       This is a resource, too.




                                  They’re even the same resources
                    768           as those on the Semantic Web:
                                  “Resource Description Framework”.




                                 RESTdesc
           Efficient runtime service discovery and consumption.                           15
ELIS – Multimedia Lab


           Ingredients of RESTdesc




• HTTP
  • resources
• Notation3 (N3)
  • small superset of RDF




                                      RESTdesc
                Efficient runtime service discovery and consumption.                           16
ELIS – Multimedia Lab


     Everything in RDF has 3 parts.



  
  


           :MyPhoto  :a  :Photo.
             subject verb object
                                                                        
                                                                        
                        




                                 RESTdesc
           Efficient runtime service discovery and consumption.                           17
ELIS – Multimedia Lab


        RDF is organized in vocabularies.


@prefix  :  <http://example.org/photo/>.  
@prefix  rdf:  <http://www.w3.org/1999/02/22-­‐rdf-­‐syntax-­‐ns#>.
@prefix  dbpedia:  <http://dbpedia.org/resource/>.


           :MyPhoto  rdf:type  dbpedia:Photo.
                                                                              
                                                                              
                              




                                            RESTdesc
                      Efficient runtime service discovery and consumption.                           18
ELIS – Multimedia Lab


           Ingredients of RESTdesc




• HTTP
  • resources
• Notation3 (N3)
  • small superset of RDF
• your own vocabulary



                                      RESTdesc
                Efficient runtime service discovery and consumption.                           19
ELIS – Multimedia Lab


 How do we describe this functionality?




                                                                                        768




photo height service
send a photo, retrieve its height in pixels


                                     RESTdesc
               Efficient runtime service discovery and consumption.                           20
ELIS – Multimedia Lab


         Photo height service in RESTdesc
@prefix  :  <http://restdesc.no.de/ontlogies/photos#>.
@prefix  http:  <http://www.w3.org/2006/http#>.
@prefix  tmpl:  <http://purl.org/restdesc/http-­‐template#>.

{                                                           Not a new model.
    ?photo  :photoId  ?id.                          This is RDF in Notation3,
}                                                  a Semantic Web language.
=>
{
      _:request  http:methodName  "GET";
                          tmpl:requestURI  ("/photos/"  ?id  "/height");
                          http:resp  [  tmpl:represents  ?pixels  ].
      ?photo  :height  ?pixels.
}.

                                              RESTdesc
                        Efficient runtime service discovery and consumption.                           21
ELIS – Multimedia Lab


         Photo height service in RESTdesc

If your photo
has identifier “wolfie”...

{                                                            “wolfie
                                                                    ”
    ?photo  :photoId  ?id.
}
=>
{
      _:request  http:methodName  "GET";
                          tmpl:requestURI  ("/photos/"  ?id  "/height");
                          http:resp  [  tmpl:represents  ?pixels  ].
      ?photo  :height  ?pixels.
}.

                                             RESTdesc
                       Efficient runtime service discovery and consumption.                           22
ELIS – Multimedia Lab


         Photo height service in RESTdesc

... then ...


{
    ?photo  :photoId  ?id.
}
=>
{
      _:request  http:methodName  "GET";
                          tmpl:requestURI  ("/photos/"  ?id  "/height");
                          http:resp  [  tmpl:represents  ?pixels  ].
      ?photo  :height  ?pixels.
}.

                                             RESTdesc
                       Efficient runtime service discovery and consumption.                           23
ELIS – Multimedia Lab


         Photo height service in RESTdesc

...you can use HTTP to get
/photos/wolfie/height...

{
    ?photo  :photoId  ?id.
}
=>
{
      _:request  http:methodName  "GET";
                          tmpl:requestURI  ("/photos/"  ?id  "/height");
                          http:resp  [  tmpl:represents  ?pixels  ].
      ?photo  :height  ?pixels.
}.

                                             RESTdesc
                       Efficient runtime service discovery and consumption.                           24
ELIS – Multimedia Lab


         Photo height service in RESTdesc

...and the response will                                                      768
represent a value...

{
    ?photo  :photoId  ?id.
}
=>
{
      _:request  http:methodName  "GET";
                          tmpl:requestURI  ("/photos/"  ?id  "/height");
                          http:resp  [  tmpl:represents  ?pixels  ].
      ?photo  :height  ?pixels.
}.

                                             RESTdesc
                       Efficient runtime service discovery and consumption.                                 25
ELIS – Multimedia Lab


         Photo height service in RESTdesc

...which is                                                                   768
that photo’s height.

{                                                             “wolfie
                                                                     ”
    ?photo  :photoId  ?id.
}
=>
{
      _:request  http:methodName  "GET";
                          tmpl:requestURI  ("/photos/"  ?id  "/height");
                          http:resp  [  tmpl:represents  ?pixels  ].
      ?photo  :height  ?pixels.
}.

                                             RESTdesc
                       Efficient runtime service discovery and consumption.                                 26
ELIS – Multimedia Lab


This description contains everything you need.

                                                                                768



  “wolfie”
                                                                                       “wolfie
                                                                                              ”

{
    ?photo  :photoId  ?id.                      It’s that simple.
}
                                            And it’s that powerful.
=>
{
      _:request  http:methodName  "GET";
                          tmpl:requestURI  ("/photos/"  ?id  "/height");
                          http:resp  [  tmpl:represents  ?pixels  ].
      ?photo  :height  ?pixels.
}.

                                             RESTdesc
                       Efficient runtime service discovery and consumption.                           27
ELIS – Multimedia Lab




       RESTdesc
  Efficient runtime service
discovery and consumption.

1. Why? – need and challenges

2. What? – syntax and structure

3. So what? – benefits and potential



                                RESTdesc
          Efficient runtime service discovery and consumption.                           28
ELIS – Multimedia Lab


RESTdesc descriptions are simple, because…


They rely on HTTP and HTTP best practices.
 • resource-oriented

They use the vocabulary you choose.
 • descriptions adapts to your domain

They describe only what you need.
 • concepts live in vocabularies
   • “height” is an integer, expresses a length in pixels



                                         RESTdesc
                   Efficient runtime service discovery and consumption.                           29
ELIS – Multimedia Lab


RESTdesc descriptions are powerful, because…


They use the Resource Description Framework.
 • logically sound
 • allows complex expressions
 • interoperable with other services and data

They can be composed by generic reasoners.
 • all N3 reasoners understand RESTdesc
 • enables goal-driven service composition



                                      RESTdesc
                Efficient runtime service discovery and consumption.                           30
RESTdesc enables
     straightforward
automated use of services.
Seeing services as resources
      leads to elegant
 functional descriptions.
In functional descriptions,
 services are not defined
 by what they look like…
ELIS – Multimedia Lab




  …but by
what they do.




                                  http://restdesc.org/
                                  RESTdesc
            Efficient runtime service discovery and consumption.                           34

Más contenido relacionado

La actualidad más candente

Sustainable queryable access to Linked Data
Sustainable queryable access to Linked DataSustainable queryable access to Linked Data
Sustainable queryable access to Linked DataRuben Verborgh
 
The Future is Federated
The Future is FederatedThe Future is Federated
The Future is FederatedRuben Verborgh
 
Querying federations 
of Triple Pattern Fragments
Querying federations 
of Triple Pattern FragmentsQuerying federations 
of Triple Pattern Fragments
Querying federations 
of Triple Pattern FragmentsRuben Verborgh
 
Functional Composition of Sensor Web APIs
Functional Composition of Sensor Web APIsFunctional Composition of Sensor Web APIs
Functional Composition of Sensor Web APIsRuben Verborgh
 
Mobile Offline OData Framework for Azure
Mobile Offline OData Framework for AzureMobile Offline OData Framework for Azure
Mobile Offline OData Framework for AzurePeter O'Blenis
 
Raven db byexample
Raven db byexampleRaven db byexample
Raven db byexampleEmil Cardell
 
The Internet as Web Services: introduction to ReST
The Internet as Web Services: introduction to ReSTThe Internet as Web Services: introduction to ReST
The Internet as Web Services: introduction to ReSTBruno Kessler Foundation
 

La actualidad más candente (8)

Sustainable queryable access to Linked Data
Sustainable queryable access to Linked DataSustainable queryable access to Linked Data
Sustainable queryable access to Linked Data
 
The Future is Federated
The Future is FederatedThe Future is Federated
The Future is Federated
 
Querying federations 
of Triple Pattern Fragments
Querying federations 
of Triple Pattern FragmentsQuerying federations 
of Triple Pattern Fragments
Querying federations 
of Triple Pattern Fragments
 
Functional Composition of Sensor Web APIs
Functional Composition of Sensor Web APIsFunctional Composition of Sensor Web APIs
Functional Composition of Sensor Web APIs
 
Mobile Offline OData Framework for Azure
Mobile Offline OData Framework for AzureMobile Offline OData Framework for Azure
Mobile Offline OData Framework for Azure
 
Raven db byexample
Raven db byexampleRaven db byexample
Raven db byexample
 
REST Presentation
REST PresentationREST Presentation
REST Presentation
 
The Internet as Web Services: introduction to ReST
The Internet as Web Services: introduction to ReSTThe Internet as Web Services: introduction to ReST
The Internet as Web Services: introduction to ReST
 

Destacado

Adrs Presentation March 2008
Adrs Presentation March 2008Adrs Presentation March 2008
Adrs Presentation March 2008guestabd20
 
Semantic Web Services: State of the Art
Semantic Web Services: State of the ArtSemantic Web Services: State of the Art
Semantic Web Services: State of the ArtMarkus Lanthaler
 
Hypermedia Cannot be the Engine
Hypermedia Cannot be the EngineHypermedia Cannot be the Engine
Hypermedia Cannot be the EngineRuben Verborgh
 
The web – A hypermedia story
The web – A hypermedia storyThe web – A hypermedia story
The web – A hypermedia storyRuben Verborgh
 
Aligning Web Services with the Semantic Web to Create a Global Read-Write Gra...
Aligning Web Services with the Semantic Web to Create a Global Read-Write Gra...Aligning Web Services with the Semantic Web to Create a Global Read-Write Gra...
Aligning Web Services with the Semantic Web to Create a Global Read-Write Gra...Markus Lanthaler
 
SAPS - Semantic AtomPub-based Services
SAPS - Semantic AtomPub-based ServicesSAPS - Semantic AtomPub-based Services
SAPS - Semantic AtomPub-based ServicesMarkus Lanthaler
 
A Deep Dive into JSON-LD and Hydra
A Deep Dive into JSON-LD and HydraA Deep Dive into JSON-LD and Hydra
A Deep Dive into JSON-LD and HydraMarkus Lanthaler
 
A Semantic Description Language for RESTful Data Services to Combat Semaphobia
A Semantic Description Language for RESTful Data Services to Combat SemaphobiaA Semantic Description Language for RESTful Data Services to Combat Semaphobia
A Semantic Description Language for RESTful Data Services to Combat SemaphobiaMarkus Lanthaler
 
The Lonesome LOD Cloud
The Lonesome LOD CloudThe Lonesome LOD Cloud
The Lonesome LOD CloudRuben Verborgh
 
Stop Reinventing the Wheel! Use Linked Data to Build Better APIs
Stop Reinventing the Wheel! Use Linked Data to Build Better APIsStop Reinventing the Wheel! Use Linked Data to Build Better APIs
Stop Reinventing the Wheel! Use Linked Data to Build Better APIsMarkus Lanthaler
 
End-to-end W3C APIs - tpac 2012
End-to-end W3C APIs - tpac 2012End-to-end W3C APIs - tpac 2012
End-to-end W3C APIs - tpac 2012Alexandre Morgaut
 
Creating 3rd Generation Web APIs with Hydra
Creating 3rd Generation Web APIs with HydraCreating 3rd Generation Web APIs with Hydra
Creating 3rd Generation Web APIs with HydraMarkus Lanthaler
 
Web Standards adoption in the AR market
Web Standards adoption in the AR marketWeb Standards adoption in the AR market
Web Standards adoption in the AR marketRob Manson
 
LODeX: Schema Summarization and automatic SPARQL query generation for Linked ...
LODeX: Schema Summarization and automatic SPARQL query generation for Linked ...LODeX: Schema Summarization and automatic SPARQL query generation for Linked ...
LODeX: Schema Summarization and automatic SPARQL query generation for Linked ...Fabio Benedetti
 
Linked Data Generation Process
Linked Data Generation ProcessLinked Data Generation Process
Linked Data Generation ProcessLD4SC
 
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
 
HTTP and Your Angry Dog
HTTP and Your Angry DogHTTP and Your Angry Dog
HTTP and Your Angry DogRoss Tuck
 
What is Hydra?
What is Hydra?What is Hydra?
What is Hydra?Findwise
 
What's New With Markup and Structured Data By Aaron Bradley
What's New With Markup and Structured Data By Aaron BradleyWhat's New With Markup and Structured Data By Aaron Bradley
What's New With Markup and Structured Data By Aaron BradleySearch Marketing Expo - SMX
 

Destacado (20)

Adrs Presentation March 2008
Adrs Presentation March 2008Adrs Presentation March 2008
Adrs Presentation March 2008
 
Semantic Web Services: State of the Art
Semantic Web Services: State of the ArtSemantic Web Services: State of the Art
Semantic Web Services: State of the Art
 
F-interop Meetup
F-interop MeetupF-interop Meetup
F-interop Meetup
 
Hypermedia Cannot be the Engine
Hypermedia Cannot be the EngineHypermedia Cannot be the Engine
Hypermedia Cannot be the Engine
 
The web – A hypermedia story
The web – A hypermedia storyThe web – A hypermedia story
The web – A hypermedia story
 
Aligning Web Services with the Semantic Web to Create a Global Read-Write Gra...
Aligning Web Services with the Semantic Web to Create a Global Read-Write Gra...Aligning Web Services with the Semantic Web to Create a Global Read-Write Gra...
Aligning Web Services with the Semantic Web to Create a Global Read-Write Gra...
 
SAPS - Semantic AtomPub-based Services
SAPS - Semantic AtomPub-based ServicesSAPS - Semantic AtomPub-based Services
SAPS - Semantic AtomPub-based Services
 
A Deep Dive into JSON-LD and Hydra
A Deep Dive into JSON-LD and HydraA Deep Dive into JSON-LD and Hydra
A Deep Dive into JSON-LD and Hydra
 
A Semantic Description Language for RESTful Data Services to Combat Semaphobia
A Semantic Description Language for RESTful Data Services to Combat SemaphobiaA Semantic Description Language for RESTful Data Services to Combat Semaphobia
A Semantic Description Language for RESTful Data Services to Combat Semaphobia
 
The Lonesome LOD Cloud
The Lonesome LOD CloudThe Lonesome LOD Cloud
The Lonesome LOD Cloud
 
Stop Reinventing the Wheel! Use Linked Data to Build Better APIs
Stop Reinventing the Wheel! Use Linked Data to Build Better APIsStop Reinventing the Wheel! Use Linked Data to Build Better APIs
Stop Reinventing the Wheel! Use Linked Data to Build Better APIs
 
End-to-end W3C APIs - tpac 2012
End-to-end W3C APIs - tpac 2012End-to-end W3C APIs - tpac 2012
End-to-end W3C APIs - tpac 2012
 
Creating 3rd Generation Web APIs with Hydra
Creating 3rd Generation Web APIs with HydraCreating 3rd Generation Web APIs with Hydra
Creating 3rd Generation Web APIs with Hydra
 
Web Standards adoption in the AR market
Web Standards adoption in the AR marketWeb Standards adoption in the AR market
Web Standards adoption in the AR market
 
LODeX: Schema Summarization and automatic SPARQL query generation for Linked ...
LODeX: Schema Summarization and automatic SPARQL query generation for Linked ...LODeX: Schema Summarization and automatic SPARQL query generation for Linked ...
LODeX: Schema Summarization and automatic SPARQL query generation for Linked ...
 
Linked Data Generation Process
Linked Data Generation ProcessLinked Data Generation Process
Linked Data Generation Process
 
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
 
HTTP and Your Angry Dog
HTTP and Your Angry DogHTTP and Your Angry Dog
HTTP and Your Angry Dog
 
What is Hydra?
What is Hydra?What is Hydra?
What is Hydra?
 
What's New With Markup and Structured Data By Aaron Bradley
What's New With Markup and Structured Data By Aaron BradleyWhat's New With Markup and Structured Data By Aaron Bradley
What's New With Markup and Structured Data By Aaron Bradley
 

Similar a RESTdesc: Describing Services Functionally

Our Brave Modular Future
Our Brave Modular FutureOur Brave Modular Future
Our Brave Modular FutureOrchestrate
 
D6.2.1 e sens kick off meeting - 2013-04-10 - isa action 1.1 on semantic inte...
D6.2.1 e sens kick off meeting - 2013-04-10 - isa action 1.1 on semantic inte...D6.2.1 e sens kick off meeting - 2013-04-10 - isa action 1.1 on semantic inte...
D6.2.1 e sens kick off meeting - 2013-04-10 - isa action 1.1 on semantic inte...Goedertier Stijn
 
Restful Best Practices
Restful Best PracticesRestful Best Practices
Restful Best PracticesBelighted
 
Experience with MarkLogic at Elsevier
Experience with MarkLogic at ElsevierExperience with MarkLogic at Elsevier
Experience with MarkLogic at ElsevierDATAVERSITY
 
RESTful SOA and the Spring Framework (EMCWorld 2011)
RESTful SOA and the Spring Framework (EMCWorld 2011)RESTful SOA and the Spring Framework (EMCWorld 2011)
RESTful SOA and the Spring Framework (EMCWorld 2011)EMC
 
Introduction to REST and Jersey
Introduction to REST and JerseyIntroduction to REST and Jersey
Introduction to REST and JerseyChris Winters
 
Research ON Big Data
Research ON Big DataResearch ON Big Data
Research ON Big Datamysqlops
 
Research on big data
Research on big dataResearch on big data
Research on big dataRoby Chen
 
Sem tech 2011 v8
Sem tech 2011 v8Sem tech 2011 v8
Sem tech 2011 v8dallemang
 
DAT101 Understanding AWS Database Options - AWS re: Invent 2012
DAT101 Understanding AWS Database Options - AWS re: Invent 2012DAT101 Understanding AWS Database Options - AWS re: Invent 2012
DAT101 Understanding AWS Database Options - AWS re: Invent 2012Amazon Web Services
 
CEPH & OPENSTACK - Red Hat's Winning Combination for Enterprise Clouds
CEPH & OPENSTACK - Red Hat's Winning Combination for Enterprise CloudsCEPH & OPENSTACK - Red Hat's Winning Combination for Enterprise Clouds
CEPH & OPENSTACK - Red Hat's Winning Combination for Enterprise CloudsRed Hat India Pvt. Ltd.
 
Linked services for the Web of Data
Linked services for the Web of DataLinked services for the Web of Data
Linked services for the Web of DataJohn Domingue
 
Microservice Pattern Launguage
Microservice Pattern LaunguageMicroservice Pattern Launguage
Microservice Pattern LaunguageInho Kang
 
OSIS19_Cloud : Des objets dans le cloud, et qui y restent -- L'expérience du ...
OSIS19_Cloud : Des objets dans le cloud, et qui y restent -- L'expérience du ...OSIS19_Cloud : Des objets dans le cloud, et qui y restent -- L'expérience du ...
OSIS19_Cloud : Des objets dans le cloud, et qui y restent -- L'expérience du ...Pôle Systematic Paris-Region
 
Introduction to Apache Mesos and DC/OS
Introduction to Apache Mesos and DC/OSIntroduction to Apache Mesos and DC/OS
Introduction to Apache Mesos and DC/OSSteve Wong
 
The New CyREST: Economical Delivery of Complex, Reproducible Network Biology ...
The New CyREST: Economical Delivery of Complex, Reproducible Network Biology ...The New CyREST: Economical Delivery of Complex, Reproducible Network Biology ...
The New CyREST: Economical Delivery of Complex, Reproducible Network Biology ...bdemchak
 

Similar a RESTdesc: Describing Services Functionally (20)

Our Brave Modular Future
Our Brave Modular FutureOur Brave Modular Future
Our Brave Modular Future
 
D6.2.1 e sens kick off meeting - 2013-04-10 - isa action 1.1 on semantic inte...
D6.2.1 e sens kick off meeting - 2013-04-10 - isa action 1.1 on semantic inte...D6.2.1 e sens kick off meeting - 2013-04-10 - isa action 1.1 on semantic inte...
D6.2.1 e sens kick off meeting - 2013-04-10 - isa action 1.1 on semantic inte...
 
Restful Best Practices
Restful Best PracticesRestful Best Practices
Restful Best Practices
 
Experience with MarkLogic at Elsevier
Experience with MarkLogic at ElsevierExperience with MarkLogic at Elsevier
Experience with MarkLogic at Elsevier
 
RESTful SOA and the Spring Framework (EMCWorld 2011)
RESTful SOA and the Spring Framework (EMCWorld 2011)RESTful SOA and the Spring Framework (EMCWorld 2011)
RESTful SOA and the Spring Framework (EMCWorld 2011)
 
Closer17.ppt
Closer17.pptCloser17.ppt
Closer17.ppt
 
Closer17.ppt
Closer17.pptCloser17.ppt
Closer17.ppt
 
Introduction to REST and Jersey
Introduction to REST and JerseyIntroduction to REST and Jersey
Introduction to REST and Jersey
 
Research ON Big Data
Research ON Big DataResearch ON Big Data
Research ON Big Data
 
Research on big data
Research on big dataResearch on big data
Research on big data
 
Sem tech 2011 v8
Sem tech 2011 v8Sem tech 2011 v8
Sem tech 2011 v8
 
DAT101 Understanding AWS Database Options - AWS re: Invent 2012
DAT101 Understanding AWS Database Options - AWS re: Invent 2012DAT101 Understanding AWS Database Options - AWS re: Invent 2012
DAT101 Understanding AWS Database Options - AWS re: Invent 2012
 
CEPH & OPENSTACK - Red Hat's Winning Combination for Enterprise Clouds
CEPH & OPENSTACK - Red Hat's Winning Combination for Enterprise CloudsCEPH & OPENSTACK - Red Hat's Winning Combination for Enterprise Clouds
CEPH & OPENSTACK - Red Hat's Winning Combination for Enterprise Clouds
 
Docker meetup-nyc-v1
Docker meetup-nyc-v1Docker meetup-nyc-v1
Docker meetup-nyc-v1
 
Linked services for the Web of Data
Linked services for the Web of DataLinked services for the Web of Data
Linked services for the Web of Data
 
Microservice Pattern Launguage
Microservice Pattern LaunguageMicroservice Pattern Launguage
Microservice Pattern Launguage
 
OSIS19_Cloud : Des objets dans le cloud, et qui y restent -- L'expérience du ...
OSIS19_Cloud : Des objets dans le cloud, et qui y restent -- L'expérience du ...OSIS19_Cloud : Des objets dans le cloud, et qui y restent -- L'expérience du ...
OSIS19_Cloud : Des objets dans le cloud, et qui y restent -- L'expérience du ...
 
Big Data
Big DataBig Data
Big Data
 
Introduction to Apache Mesos and DC/OS
Introduction to Apache Mesos and DC/OSIntroduction to Apache Mesos and DC/OS
Introduction to Apache Mesos and DC/OS
 
The New CyREST: Economical Delivery of Complex, Reproducible Network Biology ...
The New CyREST: Economical Delivery of Complex, Reproducible Network Biology ...The New CyREST: Economical Delivery of Complex, Reproducible Network Biology ...
The New CyREST: Economical Delivery of Complex, Reproducible Network Biology ...
 

Último

Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991RKavithamani
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Sapana Sha
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesFatimaKhan178732
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3JemimahLaneBuaron
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactPECB
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptxVS Mahajan Coaching Centre
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingTechSoup
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxRoyAbrique
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdfssuser54595a
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application ) Sakshi Ghasle
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13Steve Thomason
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104misteraugie
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfchloefrazer622
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdfSoniaTolstoy
 

Último (20)

Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and Actinides
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application )
 
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
 
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdf
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
 

RESTdesc: Describing Services Functionally

  • 1. ELIS – Multimedia Lab RESTdesc Efficient runtime service discovery and consumption. Ruben Verborgh, Thomas Steiner, Davy Van Deursen, Rik Van de Walle, Joaquim Gabarró Vallés
  • 2. ELIS – Multimedia Lab Talking with others is difficult when you’re different. RESTdesc © Jule Berlin Efficient runtime service discovery and consumption. 2
  • 3. ELIS – Multimedia Lab The goal is not RESTdesc to blend in… © Eric Vest Efficient runtime service discovery and consumption. 3
  • 4. ELIS – Multimedia Lab …but to stand out. RESTdesc © Nicholas Kreidberg Efficient runtime service discovery and consumption. 4
  • 5. What makes a Web service stand out from others? Functionality.
  • 6. Capturing functionality is vital for automated service consumption.
  • 7. ELIS – Multimedia Lab RESTdesc Efficient runtime service discovery and consumption. 1. Why? – need and challenges 2. What? – syntax and structure 3. So what? – benefits and potential RESTdesc Efficient runtime service discovery and consumption. 7
  • 8. ELIS – Multimedia Lab RESTdesc Efficient runtime service discovery and consumption. 1. Why? – need and challenges 2. What? – syntax and structure 3. So what? – benefits and potential RESTdesc Efficient runtime service discovery and consumption. 8
  • 9. ELIS – Multimedia Lab Example service: calculating photo height 768 photo height service send a photo, retrieve its height in pixels RESTdesc Efficient runtime service discovery and consumption. 9
  • 10. ELIS – Multimedia Lab Several service description methods exist. FACT: there are already lots of ways to describe that • the input is an image; • the output is a height in pixels. FACT: none of them really helps... wait? RESTdesc Efficient runtime service discovery and consumption. 10
  • 11. ELIS – Multimedia Lab They don’t describe functionality. 53 768 23.489 What height in pixels? • The height of the face rectangle in the image? • The optimal height on a certain mobile device? • The height of the costume, mysteriously converted to pixels? RESTdesc Efficient runtime service discovery and consumption. 11
  • 12. ELIS – Multimedia Lab Functional descriptions tell the whole story. 768 What height in pixels? Only the functional relation tells us this: send a photo, retrieve its height in pixels RESTdesc Efficient runtime service discovery and consumption. 12
  • 13. ELIS – Multimedia Lab RESTdesc Efficient runtime service discovery and consumption. 1. Why? – need and challenges 2. What? – syntax and structure 3. So what? – benefits and potential RESTdesc Efficient runtime service discovery and consumption. 13
  • 14. ELIS – Multimedia Lab Ingredients of RESTdesc • HTTP • resources RESTdesc Efficient runtime service discovery and consumption. 14
  • 15. ELIS – Multimedia Lab REST-style HTTP is resource-oriented. http://example.com/images/wolfie This is a resource. http://example.com/images/wolfie/height This is a resource, too. They’re even the same resources 768 as those on the Semantic Web: “Resource Description Framework”. RESTdesc Efficient runtime service discovery and consumption. 15
  • 16. ELIS – Multimedia Lab Ingredients of RESTdesc • HTTP • resources • Notation3 (N3) • small superset of RDF RESTdesc Efficient runtime service discovery and consumption. 16
  • 17. ELIS – Multimedia Lab Everything in RDF has 3 parts.     :MyPhoto  :a  :Photo. subject verb object                                                       RESTdesc Efficient runtime service discovery and consumption. 17
  • 18. ELIS – Multimedia Lab RDF is organized in vocabularies. @prefix  :  <http://example.org/photo/>.   @prefix  rdf:  <http://www.w3.org/1999/02/22-­‐rdf-­‐syntax-­‐ns#>. @prefix  dbpedia:  <http://dbpedia.org/resource/>. :MyPhoto  rdf:type  dbpedia:Photo.                                                       RESTdesc Efficient runtime service discovery and consumption. 18
  • 19. ELIS – Multimedia Lab Ingredients of RESTdesc • HTTP • resources • Notation3 (N3) • small superset of RDF • your own vocabulary RESTdesc Efficient runtime service discovery and consumption. 19
  • 20. ELIS – Multimedia Lab How do we describe this functionality? 768 photo height service send a photo, retrieve its height in pixels RESTdesc Efficient runtime service discovery and consumption. 20
  • 21. ELIS – Multimedia Lab Photo height service in RESTdesc @prefix  :  <http://restdesc.no.de/ontlogies/photos#>. @prefix  http:  <http://www.w3.org/2006/http#>. @prefix  tmpl:  <http://purl.org/restdesc/http-­‐template#>. { Not a new model.    ?photo  :photoId  ?id. This is RDF in Notation3, } a Semantic Web language. => {      _:request  http:methodName  "GET";                          tmpl:requestURI  ("/photos/"  ?id  "/height");                          http:resp  [  tmpl:represents  ?pixels  ].      ?photo  :height  ?pixels. }. RESTdesc Efficient runtime service discovery and consumption. 21
  • 22. ELIS – Multimedia Lab Photo height service in RESTdesc If your photo has identifier “wolfie”... { “wolfie ”    ?photo  :photoId  ?id. } => {      _:request  http:methodName  "GET";                          tmpl:requestURI  ("/photos/"  ?id  "/height");                          http:resp  [  tmpl:represents  ?pixels  ].      ?photo  :height  ?pixels. }. RESTdesc Efficient runtime service discovery and consumption. 22
  • 23. ELIS – Multimedia Lab Photo height service in RESTdesc ... then ... {    ?photo  :photoId  ?id. } => {      _:request  http:methodName  "GET";                          tmpl:requestURI  ("/photos/"  ?id  "/height");                          http:resp  [  tmpl:represents  ?pixels  ].      ?photo  :height  ?pixels. }. RESTdesc Efficient runtime service discovery and consumption. 23
  • 24. ELIS – Multimedia Lab Photo height service in RESTdesc ...you can use HTTP to get /photos/wolfie/height... {    ?photo  :photoId  ?id. } => {      _:request  http:methodName  "GET";                          tmpl:requestURI  ("/photos/"  ?id  "/height");                          http:resp  [  tmpl:represents  ?pixels  ].      ?photo  :height  ?pixels. }. RESTdesc Efficient runtime service discovery and consumption. 24
  • 25. ELIS – Multimedia Lab Photo height service in RESTdesc ...and the response will 768 represent a value... {    ?photo  :photoId  ?id. } => {      _:request  http:methodName  "GET";                          tmpl:requestURI  ("/photos/"  ?id  "/height");                          http:resp  [  tmpl:represents  ?pixels  ].      ?photo  :height  ?pixels. }. RESTdesc Efficient runtime service discovery and consumption. 25
  • 26. ELIS – Multimedia Lab Photo height service in RESTdesc ...which is 768 that photo’s height. { “wolfie ”    ?photo  :photoId  ?id. } => {      _:request  http:methodName  "GET";                          tmpl:requestURI  ("/photos/"  ?id  "/height");                          http:resp  [  tmpl:represents  ?pixels  ].      ?photo  :height  ?pixels. }. RESTdesc Efficient runtime service discovery and consumption. 26
  • 27. ELIS – Multimedia Lab This description contains everything you need. 768 “wolfie” “wolfie ” {    ?photo  :photoId  ?id. It’s that simple. } And it’s that powerful. => {      _:request  http:methodName  "GET";                          tmpl:requestURI  ("/photos/"  ?id  "/height");                          http:resp  [  tmpl:represents  ?pixels  ].      ?photo  :height  ?pixels. }. RESTdesc Efficient runtime service discovery and consumption. 27
  • 28. ELIS – Multimedia Lab RESTdesc Efficient runtime service discovery and consumption. 1. Why? – need and challenges 2. What? – syntax and structure 3. So what? – benefits and potential RESTdesc Efficient runtime service discovery and consumption. 28
  • 29. ELIS – Multimedia Lab RESTdesc descriptions are simple, because… They rely on HTTP and HTTP best practices. • resource-oriented They use the vocabulary you choose. • descriptions adapts to your domain They describe only what you need. • concepts live in vocabularies • “height” is an integer, expresses a length in pixels RESTdesc Efficient runtime service discovery and consumption. 29
  • 30. ELIS – Multimedia Lab RESTdesc descriptions are powerful, because… They use the Resource Description Framework. • logically sound • allows complex expressions • interoperable with other services and data They can be composed by generic reasoners. • all N3 reasoners understand RESTdesc • enables goal-driven service composition RESTdesc Efficient runtime service discovery and consumption. 30
  • 31. RESTdesc enables straightforward automated use of services.
  • 32. Seeing services as resources leads to elegant functional descriptions.
  • 33. In functional descriptions, services are not defined by what they look like…
  • 34. ELIS – Multimedia Lab …but by what they do. http://restdesc.org/ RESTdesc Efficient runtime service discovery and consumption. 34