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Open Mashup Enterprise Service
         Platform for
   Linked Data in the Telco
           Domain


        Project Presentation

         December 2010
Table of contents

●   Consortium
●   Project Overview
●   Expected Results
●   Objectives
●   Initial scenarios
●   Contact Information




                                   2
Consortium overview

GESFOR      ES   Coordinator, Mashups, Security

HUAWEI      CH   Use case definition

SAP         DE   End-user mashups and usability

TIE         NL   Assisted manual mashups

TUC         DE   Web engineering

UNITN       IT   Web mashups and service
                 composition

UPM         ES   Telco mashups, automatic mashups,
                 user experience, Linked Data

UNIBOL      UK   Widget technology

T-SYSTEMS   DE   Multimedia mashups, use case
MMS              definition


                                                  3
Opportunities, Challenges and Problems
    Confluence IT/Web/Content
● Plenty of opportunities for new services, but
  not following the traditional telco approach.
● Telco assets can be exposed as Services.




                                            4
Opportunities, Challenges and Problems
    Confluence IT/Web/Content
● New revenue sources.
   Telco operator is more than “bit pipes”.
● New challenges:
   How can telco take a piece of the full Web pie?
   How can integrators provide an added value in a
    crowd-sourcing model?




                                                      5
Opportunities, Challenges and Problems
          Internet of Services
● Huge dynamic service offer / demand.
● Need of tools and technologies for
  managing this 'service complexity‘.
● Need of new paradigms for managing this
  complexity.




                                        6
Opportunities, Challenges and Problems
                Mashups
● Mashups: a new challenging paradigm:
   Born in the web2.0 for data-based services.
   Can transfer the potentials of Service development /
    customisation to both end users and engineers.




                                                     7
Opportunities, Challenges and Problems
                Mashups
● Need of standardisation on mashup
  technology:
   Runtime.
   Development tool.
   Interoperability.
● Telco mashups, a new concept:
     Voice 2.0 / Multimedia services:
     Real-time services.
     Converged services.
     New handset capabilities: Geolocation,
      gyroscope.

                                               8
OMELETTE Main Objective

Research on interoperability of Mashups at
  delivery and user-oriented development
               levels focused
            on the telco domain




                                         9
S/T Objectives (I)

1. Define extended usability concepts for
   end-user service creation.
2. Define and provide an open interoperable
   service platform for converged mashup
   services.
3. Research on innovative approaches on
   converged service engineering integrating
   telecommunication capabilities in
   multimodal mashup-based interaction.



                                         10
S/T Objectives (II)

4. Research on the relationship of widgets and
   mashup technologies, taking into account
   governance and security issues.
5. Enable automatic service description and
   discovery in order to provide automatic
   mashup composition in a open Future
   Internet of Services.




                                          11
Goal I: Usability concepts

● Human-centric composition: Different
  strategies:
   End-users: Non programming skills.
   Developers: Programming skills.
● Context of usage.
   Component offer depending on the context.
● Assistance mechanisms.
   Help in composition.




                                                12
Goal II: Open interoperable service
                platform
● Definition of a reference architecture for
  mashups.
   Description: Mashup Description Language (MDL).
   Runtime: Mashup Delivery Platform (MDP).
● Implementation of this reference
  architecture.
● Collaboration with:
   W3C Widgets working group.
   Participation in the Open Mashup Alliance.




                                                 13
Goal III: Converged Services

● Research on converged services: IT, Web &
  Telco combination.
● Mashing-up different kind of components:
   Multimedia: Real-time mashup such us video
    streaming.
   Speech: Voice Processing as a service.
   Web: Any exposed web service.
● Multi-device access.




                                                 14
Goal IV: Widget-Mashup relationship

● Communication among mashups
   Mashup-widget communication (MWC),
   Inter-widget communication (IWC)
● Definition mashup delivery specification
  based on W3C Widget specification.




                                             15
Goal V: Automatic service description &
             Discovery
● User assistance:
   Recommendation mechanisms for manual
    composition.
   Automatic mechanisms for mashup composition.
● Definition of a lightweight description
  framework.




                                               16
Expected results




                   17
Expected results




                   18
Initial Scenarios

● Main scenarios:
   Scenario 1: Time & Travel Management.
     o Electronic Travel Service.
   Scenario 2: Collaboration & Meetings.
     o Minute assistance.
   Scenario 3: Advanced Call Services.
     o Intelligent Call Forwarding.
   Scenario 4: Maintanance & Helpdesk.
     o Mobile Multilingual Miner.




                                            19
For any contact information

● Coordinator:
     Saúl Navarro
     Informática Gesfor
     Avenida de Manoteras 32, 28050 Madrid (Spain)
     Email: snavarrob@grupogesfor.com
     Web: http://www.ict-omelette.eu




                                                      20

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Omelette Project Overview

  • 1. Open Mashup Enterprise Service Platform for Linked Data in the Telco Domain Project Presentation December 2010
  • 2. Table of contents ● Consortium ● Project Overview ● Expected Results ● Objectives ● Initial scenarios ● Contact Information 2
  • 3. Consortium overview GESFOR ES Coordinator, Mashups, Security HUAWEI CH Use case definition SAP DE End-user mashups and usability TIE NL Assisted manual mashups TUC DE Web engineering UNITN IT Web mashups and service composition UPM ES Telco mashups, automatic mashups, user experience, Linked Data UNIBOL UK Widget technology T-SYSTEMS DE Multimedia mashups, use case MMS definition 3
  • 4. Opportunities, Challenges and Problems Confluence IT/Web/Content ● Plenty of opportunities for new services, but not following the traditional telco approach. ● Telco assets can be exposed as Services. 4
  • 5. Opportunities, Challenges and Problems Confluence IT/Web/Content ● New revenue sources.  Telco operator is more than “bit pipes”. ● New challenges:  How can telco take a piece of the full Web pie?  How can integrators provide an added value in a crowd-sourcing model? 5
  • 6. Opportunities, Challenges and Problems Internet of Services ● Huge dynamic service offer / demand. ● Need of tools and technologies for managing this 'service complexity‘. ● Need of new paradigms for managing this complexity. 6
  • 7. Opportunities, Challenges and Problems Mashups ● Mashups: a new challenging paradigm:  Born in the web2.0 for data-based services.  Can transfer the potentials of Service development / customisation to both end users and engineers. 7
  • 8. Opportunities, Challenges and Problems Mashups ● Need of standardisation on mashup technology:  Runtime.  Development tool.  Interoperability. ● Telco mashups, a new concept:  Voice 2.0 / Multimedia services:  Real-time services.  Converged services.  New handset capabilities: Geolocation, gyroscope. 8
  • 9. OMELETTE Main Objective Research on interoperability of Mashups at delivery and user-oriented development levels focused on the telco domain 9
  • 10. S/T Objectives (I) 1. Define extended usability concepts for end-user service creation. 2. Define and provide an open interoperable service platform for converged mashup services. 3. Research on innovative approaches on converged service engineering integrating telecommunication capabilities in multimodal mashup-based interaction. 10
  • 11. S/T Objectives (II) 4. Research on the relationship of widgets and mashup technologies, taking into account governance and security issues. 5. Enable automatic service description and discovery in order to provide automatic mashup composition in a open Future Internet of Services. 11
  • 12. Goal I: Usability concepts ● Human-centric composition: Different strategies:  End-users: Non programming skills.  Developers: Programming skills. ● Context of usage.  Component offer depending on the context. ● Assistance mechanisms.  Help in composition. 12
  • 13. Goal II: Open interoperable service platform ● Definition of a reference architecture for mashups.  Description: Mashup Description Language (MDL).  Runtime: Mashup Delivery Platform (MDP). ● Implementation of this reference architecture. ● Collaboration with:  W3C Widgets working group.  Participation in the Open Mashup Alliance. 13
  • 14. Goal III: Converged Services ● Research on converged services: IT, Web & Telco combination. ● Mashing-up different kind of components:  Multimedia: Real-time mashup such us video streaming.  Speech: Voice Processing as a service.  Web: Any exposed web service. ● Multi-device access. 14
  • 15. Goal IV: Widget-Mashup relationship ● Communication among mashups  Mashup-widget communication (MWC),  Inter-widget communication (IWC) ● Definition mashup delivery specification based on W3C Widget specification. 15
  • 16. Goal V: Automatic service description & Discovery ● User assistance:  Recommendation mechanisms for manual composition.  Automatic mechanisms for mashup composition. ● Definition of a lightweight description framework. 16
  • 19. Initial Scenarios ● Main scenarios:  Scenario 1: Time & Travel Management. o Electronic Travel Service.  Scenario 2: Collaboration & Meetings. o Minute assistance.  Scenario 3: Advanced Call Services. o Intelligent Call Forwarding.  Scenario 4: Maintanance & Helpdesk. o Mobile Multilingual Miner. 19
  • 20. For any contact information ● Coordinator:  Saúl Navarro  Informática Gesfor  Avenida de Manoteras 32, 28050 Madrid (Spain)  Email: snavarrob@grupogesfor.com  Web: http://www.ict-omelette.eu 20