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Semantic Geodemography and Urban interoperability
- 1. Semantic Geodemography and Urban Interoperability J. Borrego-Díaz, A. Chávez-González, M. Martín-Pérez and J. Zamora- Aguilera Dept. Computer Science and Artificial Intelligence University of Seville 6th Metadata and Semantics Research Conference MTSR 2012
- 2. Overview • Introduction • SemanticWeb and (Urban) Ciberinfrastructure • Geodemographies as knowledge augmented spaces • Semantizing geodemographies • Case study • Applications of semantic geodemography • Conclusions and related work MTSR 2012
- 3. Data Sources Sensors City National Commercial Databases Census Social and demographic surveys MTSR 2012
- 4. Data Integration MTSR 2012
- 5. Socio-Technical Systems MTSR 2012
- 6. Urban Computing &GIS SEMANTIC INTEROPERABILITY http://www.westfield.ma.edu/ http://www.spaceandculture.org/2009/05/13/models-of-urban-computing/ MTSR 2012
- 7. Smart City Projects TAYLORED SERVICES AND PROCESSES http://www.urenio.org/category/digital-cities/page/3/ MTSR 2012
- 8. Semantic Interoperability • Servicesand processes • Management and valuation of socio- economical consequences of regions • New methodologies: opportunities MTSR 2012
- 9. SW & GCI MTSR 2012
- 10. Geodemography MTSR 2012
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- 12. Semantizing geodemographies • Support for metadata • To enhance information from sensors • Information about geodemographic indices • Decisions which influence city behavior MTSR 2012
- 13. Ontologies • Step 1 – Reflecting and standarizing available information for building systems (GCI) – They provide us with spatial and digital knowledge • Step 2 – High level of information fusion (future social changes) – Knowlege about and for urban systems MTSR 2012
- 14. Extracting an ontology Geodemographicsystems: – Datasets apt to be statistically treated – Systems to be interpreted by expert scientists – Semiformal representation of a geodemographic conceptualization Building an ontology: Case study. MOSAIC MTSR 2012
- 15. MOSAIC: Segmentation System http://www.experian.co.uk/ MTSR 2012
- 16. MOSAIC (by ExperianGroup) • Comprises a range of segmentation systems • Statistical techniques of classification, GIS and software for database management • Groups: demographic and socio-economical features (age, ethnicity, affluence, accommodation, etc.) • Segmentation of consumers: prospective, recruitment, loyalty MTSR 2012
- 17. • Detailed descriptionsof a range of sociodemographic environments • From the ontological point of view, ideal types • Explained by estatistical data • Expert scientists interpret data but do not characterize each class MTSR 2012
- 18. Limitations • MOSAIC definitionspresent difficulties to be translated into metadata – Variance across individuals – Variance of requirements for belonging – Lack of critical requirements (features not included in definitions because of sufficent statistical data have not been provided). Examples: urban /rural nedighborhoods, tax rates, size of houses, etc. MTSR 2012
- 19. • MOSAIC definitionmake use of properties – Experts interpret but there are no data • Class is not fully defined by Data – Axioms can not be expressed • Object Properties vs Data Properties • MOSAIC definitions vs MOSAIC Data – Weakening definitions: set of constrains MTSR 2012
- 20. O63 Group Description:Successful city dwellers owning or renting expensive flats in trendy inner urban locations MTSR 2012
- 21. Methodology 1. Analysis ofgeodemographic system – Types – Data – Expert’s interpretation 2. Interpretation – Tipes as classes – Data as (object or data) properties on classes – Interpretation of segmentation 3. Ontology engineering – Hierarchy construction – Axiomatization of classes by means the characterization of properties – Interpretation of segmentation expressed by axioms MTSR 2012
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- 24. Applications of SG •Geodemographic Ontology -> Social Knowledge – Influence all the processes of informational collect, interpretation and feedback – Urban Informatics scope and city management – Specialiced decisions and applications MTSR 2012
- 25. • Life cycleof knowledge in Smart Cities • Acquisition • Verification • Documentation • Decision • Enriched not only by Sociodemographic ontologies • Reasoning on processed knowledge MTSR 2012
- 26. Innovation Lines onSmart city features: • Urban planning/landscape systems (decision urban interventions) • Knowledge-based market for social products and services • Analysis of digital information increases urban resilience • Developing social or community apps MTSR 2012
- 27. Conclusions • Main linesof geodemographic ontology design and engineering • Limitations for developing geodemographic systems from KE • Ontologies provide GCI with Knowledge • Metadata enrich urban subsystems MTSR 2012
- 28. • Subsystems ofan urban system MTSR 2012
- 29. • Properties ofMOSAIC semantization linked to the modelization of some urban subsystems MTSR 2012
- 30. Related works Interrelate socialand physical structures in cities/regions • Geodemographic ontologies aligned with semantic tools like the Semantic Framework of the Universal Ontology of Geographical Space (UOGS) • Qualitative Spatial Reasoning applied to geodemographic zones (variograms for binary similarities) • TOWNTOLOGY PROJECT: Ontologies for urban civil engineering (Estimate the impact of urban intervention on the community) • CAMEO, OAC, ACORN, CLOUD CLIENT can be semantized. Interoperability . • Ontology Revision : Static Geodemography / Urban Dynamics • Desing of Intelligent interfaces for ontology repairing MTSR 2012
- 31. Thanks! tchavez@us.es MTSR 2012
- 32. Semantic Geodemography and Urban Interoperability J. Borrego-Díaz, A. Chávez-González, M. Martín-Pérez and J. Zamora- Aguilera 6th Metadata and Semantics Research Conference MTSR 2012