Jorge Cardoso Dept. Engenharia Informatica/CISUC

University of Coimbra Coimbra, Portugal

jcardoso@dei.uc.pt

17 July 2012

2012 1 Genessiz: Center for Large-Scale Service System Research

Open Semantic Service Networks models, platforms, applications, and visualization

Who are we? • Supervisors

– Jorge Cardoso – Alexandre Pinto – Catarina Ferreira

• Students – Bruno Rito – Filipe Barata – João Duro – João Nabais – Jorge Araújo – Pedro Macedo – Ricardo Lopes – Diana Miguel

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Experiences learned

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ESOTERIC (Joao Duro) MOONRISE (Diana Miguel) SMS (Jorge Araujo)

SBSPMS(Joao Nabais) MAYBE (Pedro Macedo)

MESMERIC (Bruno Rito)

SUNSET (Filipe Barata) LANDLESS (Ricardo Lopes)

OBSERVE (?)

Platforms

Applications

Visualization

Models

ESOTERIC:Joao_Duro

• Background – Industries have particular requirements

• Specific domain vocabularies, business models, etc.

• Problem – “one size fits all” does not fit everyone…

• Solution

– Explore domain extensions to USDL

2012 Genessiz: Center for Large-Scale Service System Research 5 Esoteric: Intended for or likely to be understood by only a small number of people with a specialized

knowledge or interest.

LaNDLESS:Ricardo_Lopes

• Background – Linked Services – Linked Open Data initiatives – Open Semantic Service Networks

• Problem

– Fragmented and time consuming access to linked services and linked data

• Solution

– Efficient broker with a mediating ontology

2012 Genessiz: Center for Large-Scale Service System Research 6

SBSPMS:João_Nabais

• Background – High level definition of ITIL processes – No standard specification languages

• Problem

– Deployment of various incompatible process incarnations – Expensive customization

• Solution

– Definition of common and known process interfaces – “Plug-and-Process”

2012 Genessiz: Center for Large-Scale Service System Research 7

MOONRISE:Diana_Miguel

• Background – Service marketplaces of isolated services descriptions – No view of the global and digital service-based economy

• Problem

– Service networks cannot be modeled – Service network analysis and reasoning are not feasible

• Solution

– Connect services with service relationship model – Demonstrate the existence of service networks

2012 Genessiz: Center for Large-Scale Service System Research 8 MOONRISE : Modeling open semantic service relationships

SUnSET:Filipe_Barata

• Background – SAPO uses a proprietary service marketplace – Service description are stored in a relational database

• Problem

– No support for standard service descriptions – Potential interoperability/portability problems in the future

• Solution

– Implement import/export functionality based on USDL – Demonstrate the existence of service networks

2012 Genessiz: Center for Large-Scale Service System Research 9 SUNSET: On the suitability of USDL for service description - A case study of a telecom operator

SMS:Jorge_Araújo

• Background – Services are typically sold has atomic entities in marketplaces – Services can also be sold has ‘bags’ or bundles

• Problem

– Bundles have no added value via synergies

• Solution

– Explore the mashups of services – Demonstrate their value for businesses

2012 Genessiz: Center for Large-Scale Service System Research 10 SMS: Semantic Mashups of Linked-USDL Services

MESMERIC:Bruno_Brito

• Background – USDL schema/ontology is for CS experts – Technical and code-oriented

• Problem

– Not suitable for entrepreneurs, managers and business people – Focus on data representation rather than service modeling

• Solution

– Explore infographics to uncover the potential of USDL – Explore dynamic content information representation for USDL

2012 Genessiz: Center for Large-Scale Service System Research 11 MESmERIC: ModEling SERvice using InforgraphiCs (Hypnotic)

MAYBE:Pedro_Macedo

• Background – MEO platform does not connect users who are also friends – Consumer habits are often not known among friends

• Problem

– Not suitable for entrepreneurs, managers and business people – Focus on data representation rather than service modeling

• Solution

– Explore infographics to uncover the potential of USDL – Explore dynamic content information representation for USDL

2012 Genessiz: Center for Large-Scale Service System Research 12 MAyBE: MEO Active Behavior prEdiction

Research method

101.Basic guidelines

• Do not do it if it is already done – “Reinventing the wheel” syndrome

• What will you be proving?

– You must be proving something, right!?

• How will the world become a better place for

all? – Practice and spread altruism

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Your thesis • Abstract

– Summary of research (<120 words) – Hypothesis + methods + results

• Introduction – Problem and past relevant findings – Formal hypotheses

• Method – Design, participants, Procedure

• Results – Narrative or statistical or table or graphs

• Discussion – Discuss findings and their support of hypotheses – Conclusions and future research

2012 Genessiz: Center for Large-Scale Service System Research 16