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Realizing Service-Finder Web Service Discovery at Web Scale   http://www.service-finder.eu   Lecturer:   Emanuele Della Valle [email_address] http://emanueledellavalle.org   Authors: Emanuele Della Valle, Dario Cerizza, Irene Celino, Andrea Turati,  Holger Lausen, Nathalie Steinmetz, Michael Erdmann,  Wolfgang Schoch and Adam Funk
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SOA onto the Web ,[object Object],[object Object],0 10.000 20.000 30.000 2008 [source  http://seekda.com/about/web_services  (September, 2008)]  2009 2007 [  http://aws.amazon.com/  ] [  http://developer.ebay.com/  ] number of accessible WSDL found by seekda
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],The rise and fall of public UDDI registries
Pitfalls of public UDDI registries ,[object Object],[object Object],[object Object],[object Object]
Overcoming UDDI limitation ,[object Object],[object Object],[object Object],[object Object]
project idea Semantics Knowledge Representation & Reasoning Web Services As a basic tool to implement a S ervice  O riented  A rchitecture Semantic Web Services As a means to realize S ervice  O riented  A rchitecture Web 2.0 User clustering User-Resource correlation Semantic Search Conceptual Indexing Semantic Matching Automatic Semantic Annotation Combining smart-machine  and smart-data  Service-Finder aims at developing a  platform for service discovery in which  Web Services are embedded in a Web 2.0 environment   R ealizing  W eb  S ervice  D iscovery at  W eb  S cale http://www.service-finder.eu
key objectives ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Realizing June 2008 Jan 2008 Dec 2008 Dec 2009 Today
Use cases for  ,[object Object],[object Object],[object Object],[object Object]
Requirements for  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Provider-Related Requirements ,[object Object],[object Object],[object Object],[object Object]
Architecture and components
Service Crawler by  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Automatic Annotator by  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],1   http://www.gate.ac.uk
Conceptual indexer and matcher by  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],1   http://www.ontoprise.de/de/en/home/products/ontobroker.html
Interface by  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],1   http://swa.cefriel.it/Squiggle   2   http://swa.cefriel.it/SOIP-F
Cluster Engine by  ,[object Object],[object Object],[object Object],[object Object]
Work in progress ,[object Object],[object Object],[object Object],[object Object],[object Object]
Key innovations of Research  Activities Automatic Service Annotation ,[object Object],[object Object],[object Object],User and Service Clustering ,[object Object],[object Object],[object Object],Research and  Engineering  Activities Conceptual Indexing and Matching ,[object Object],[object Object],[object Object],Integration  Activities Service-Finder Portal ,[object Object],[object Object],[object Object]
Beyond state of the art Feature State of the art Improvement  Architecture for  lightweight semantic service discovery Approaches based on a registration process or  an editorial team Enables to  scale  service discovery with the upcoming increase of publicly available services Largest and most accurate set of publicly available services Specialized portals only containing subset of services Focused crawler able to identify services and related information Automatic metadata creation for Web Service Innovative; under-researched Metadata generation from Web 2.0 data and services Integration of formal and informal (textual) knowledge Indexed textual descriptions Hybrid match-making algorithm Automatic creation of both user and service clusters Only general-purpose clustering techniques exist Specialize clustering algorithms  that jointly cluster users and services Innovative interface that combines Web 2.0 features and service related features Current Web 2.0 portals do not include semantic metadata. Techniques that enable  handling of semantic metadata in Web 2.0 portals
Expected Impacts ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Exploitation Prospects ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Thank you for paying attention Any Questions?
Realizing Service-Finder Web Service Discovery at Web Scale   http://www.service-finder.eu   Lecturer:   Emanuele Della Valle [email_address] http://emanueledellavalle.org   Authors: Emanuele Della Valle, Dario Cerizza, Irene Celino, Andrea Turati,  Holger Lausen, Nathalie Steinmetz, Michael Erdmann,  Wolfgang Schoch and Adam Funk

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Realizing Service Discovery at Web Scale

  • 1. Realizing Service-Finder Web Service Discovery at Web Scale http://www.service-finder.eu Lecturer: Emanuele Della Valle [email_address] http://emanueledellavalle.org Authors: Emanuele Della Valle, Dario Cerizza, Irene Celino, Andrea Turati, Holger Lausen, Nathalie Steinmetz, Michael Erdmann, Wolfgang Schoch and Adam Funk
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  • 7. project idea Semantics Knowledge Representation & Reasoning Web Services As a basic tool to implement a S ervice O riented A rchitecture Semantic Web Services As a means to realize S ervice O riented A rchitecture Web 2.0 User clustering User-Resource correlation Semantic Search Conceptual Indexing Semantic Matching Automatic Semantic Annotation Combining smart-machine and smart-data Service-Finder aims at developing a platform for service discovery in which Web Services are embedded in a Web 2.0 environment R ealizing W eb S ervice D iscovery at W eb S cale http://www.service-finder.eu
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  • 9. Realizing June 2008 Jan 2008 Dec 2008 Dec 2009 Today
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  • 21. Beyond state of the art Feature State of the art Improvement Architecture for lightweight semantic service discovery Approaches based on a registration process or an editorial team Enables to scale service discovery with the upcoming increase of publicly available services Largest and most accurate set of publicly available services Specialized portals only containing subset of services Focused crawler able to identify services and related information Automatic metadata creation for Web Service Innovative; under-researched Metadata generation from Web 2.0 data and services Integration of formal and informal (textual) knowledge Indexed textual descriptions Hybrid match-making algorithm Automatic creation of both user and service clusters Only general-purpose clustering techniques exist Specialize clustering algorithms that jointly cluster users and services Innovative interface that combines Web 2.0 features and service related features Current Web 2.0 portals do not include semantic metadata. Techniques that enable handling of semantic metadata in Web 2.0 portals
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  • 24. Thank you for paying attention Any Questions?
  • 25. Realizing Service-Finder Web Service Discovery at Web Scale http://www.service-finder.eu Lecturer: Emanuele Della Valle [email_address] http://emanueledellavalle.org Authors: Emanuele Della Valle, Dario Cerizza, Irene Celino, Andrea Turati, Holger Lausen, Nathalie Steinmetz, Michael Erdmann, Wolfgang Schoch and Adam Funk

Hinweis der Redaktion

  1. Service-Finder