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Semantic Geodemography and Urban interoperability


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My presentation at Metadata and Semantics Research Conference (MTSR 2012) 28-30 Nov 2012. Cádiz. Spain

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Semantic Geodemography and Urban interoperability

  1. 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. 2. Overview• Introduction• Semantic Web and (Urban) Ciberinfrastructure• Geodemographies as knowledge augmented spaces• Semantizing geodemographies• Case study• Applications of semantic geodemography• Conclusions and related work MTSR 2012
  3. 3. Data Sources Sensors CityNational Commercial DatabasesCensus Social and demographic surveys MTSR 2012
  4. 4. Data Integration MTSR 2012
  5. 5. Socio-Technical Systems MTSR 2012
  8. 8. Semantic Interoperability• Services and processes• Management and valuation of socio- economical consequences of regions• New methodologies: opportunities MTSR 2012
  9. 9. SW & GCI MTSR 2012
  10. 10. Geodemography MTSR 2012
  11. 11. MTSR 2012
  12. 12. Semantizing geodemographies• Support for metadata• To enhance information from sensors• Information about geodemographic indices• Decisions which influence city behavior MTSR 2012
  13. 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. 14. Extracting an ontologyGeodemographic systems: – Datasets apt to be statistically treated – Systems to be interpreted by expert scientists – Semiformal representation of a geodemographic conceptualizationBuilding an ontology:Case study. MOSAIC MTSR 2012
  15. 15. MOSAIC: Segmentation System MTSR 2012
  16. 16. MOSAIC (by Experian Group)• 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. 17. • Detailed descriptions of 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. 18. Limitations• MOSAIC definitions present 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. 19. • MOSAIC definition make 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. 20. O63 Group Description: Successful city dwellers owning or renting expensive flats in trendy inner urban locations MTSR 2012
  21. 21. Methodology1. Analysis of geodemographic system – Types – Data – Expert’s interpretation2. Interpretation – Tipes as classes – Data as (object or data) properties on classes – Interpretation of segmentation3. Ontology engineering – Hierarchy construction – Axiomatization of classes by means the characterization of properties – Interpretation of segmentation expressed by axioms MTSR 2012
  22. 22. MTSR 2012
  23. 23. 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
  24. 24. • Life cycle of knowledge in Smart Cities • Acquisition • Verification • Documentation • Decision• Enriched not only by Sociodemographic ontologies• Reasoning on processed knowledge MTSR 2012
  25. 25. Innovation Lines on Smart 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
  26. 26. Conclusions• Main lines of geodemographic ontology design and engineering• Limitations for developing geodemographic systems from KE• Ontologies provide GCI with Knowledge• Metadata enrich urban subsystems MTSR 2012
  27. 27. • Subsystems of an urban system MTSR 2012
  28. 28. • Properties of MOSAIC semantization linked to the modelization of some urban subsystems MTSR 2012
  29. 29. Related worksInterrelate social and 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
  30. 30. Thanks! MTSR 2012
  31. 31. 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