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Genssiz Projects: Year 2012 2013
This document describes the Open Semantic Service Networks research group at the University of Coimbra in Portugal. It introduces the group's supervisors and students, and summarizes each student's research project related to semantic services, including their background, problem being addressed, and technical solution. The group's projects involve models, platforms, applications, and visualizations for open semantic service networks.
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Genssiz Projects: Year 2012 2013
- 1. Open Semantic ServiceNetworks models, platforms, applications, and visualization Jorge Cardoso Dept. Engenharia Informatica/CISUC University of Coimbra Coimbra, Portugal jcardoso@dei.uc.pt 17 July 2012 2012 Genessiz: Center for Large-Scale Service System Research 1
- 2. Who are we? •Supervisors • Students – Jorge Cardoso – Bruno Rito – Alexandre Pinto – Filipe Barata – Catarina Ferreira – João Duro – João Nabais – Jorge Araújo – Pedro Macedo – Ricardo Lopes – Diana Miguel 2012 Genessiz: Center for Large-Scale Service System Research 2
- 3. Experiences learned 2012 Genessiz: Center for Large-Scale Service System Research 3
- 4. Visualization MESMERIC (Bruno Rito) OBSERVE (?) Applications SBSPMS(Joao Nabais) MAYBE (Pedro Macedo) Platforms SUNSET (Filipe Barata) LANDLESS (Ricardo Lopes) Models SMS (Jorge Araujo) ESOTERIC (Joao Duro) MOONRISE (Diana Miguel)
- 5. 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 Esoteric: Intended for or likely to be understood by only a small number of people with a specialized 2012 Genessiz: Center for Large-Scale Service System Research 5 knowledge or interest.
- 6. 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
- 7. 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
- 8. 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
- 9. 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
- 10. 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
- 11. 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 (Hypnotic) MESmERIC: ModEling SERvice using InforgraphiCs
- 12. 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
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- 14. 101.Basic guidelines • Donot 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 2012 Genessiz: Center for Large-Scale Service System Research 14
- 15. 2012 Genessiz: Center for Large-Scale Service System Research 15
- 16. 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