Thursday 2 June 2011 - Facultad de Ingeniería, Universidad de Cuenca, Ecuador - Beniamino Murgante

1. Beniamino Murgante Spatial Information Systems yesterday, today and tomorrow e-mail: [email_address] url: http://www.unibas.it/utenti/murgante/Benny.html Skype: beniamino.murgante Linkedin: http://www.linkedin.com/pub/beniamino-murgante/7/960/9aa

2. My books

3. My books

4. Other books and special issues Analysing, Modelling and Visualizing Spatial Environmental Data NeoGeography and WikiPlanning"

5. Network co-founder

6. Network co-founder

7. Network co-founder

8. Network co-founder

9. Network co-founder 1,403 Members

10. Network co-founder 1,680 Members

11. History of GIS Ian McHarg 1969

12. History of GIS 1969 Physiographic obstructions Social aspects

13. History of GIS 1969 Physiographic obstructions

14. Origin of GIS

15. Evolution of GIS Cost of the GIS software (Longley, et al. 2001)

16. Evolution of GIS Increase of GIS software functions (Longley, et al. 2001)

17. Evolution of GIS Growth of personal computers power (Moore's law ) (Longley, et al. 2001)

18. Evolution of GIS

19. Evolution of GIS

20. Evolution of GIS GIS users tend to develop their own data sets for many reason: 1. they may not know available existing data sets that could be appropriately used for their applications; 2. access to these data sets is difficult; 3. they are not used to sharing data sets with other sectors and/or organizations; 4. existing geospatial data sets stored in a certain GIS system may not be easily exported to another system.

21. Evolution of GIS As a result, the new age of GIS is still characterized by: 1. many actors involved in data collection and distribution; 2. a proliferation of GIS applications , product types, and formats; 3. duplication as a consequence of the difficulties to access the existing data, and the highly specific quality of the data collected; 4. increasing difficulty in the exchange and use of data that came from different organizations ;

22. CANRI 1999 Evolution of GIS

24. Executive Order 12906

25. Executive Order 12906

27. Nebert, The SDI Cookbook Information Resource 1. Document Metadata Data Server Metadata Server 2. Publish User Registry 3. Register 4. Query 5. Access

29. National Spatial Data Infrastructure

30. National Spatial Data Infrastructure

31. National Spatial Data Infrastructure

32. National Spatial Data Infrastructure

33. National Spatial Data Infrastructure

34. National Spatial Data Infrastructure

35. National Spatial Data Infrastructure

36. National Spatial Data Infrastructure

37. National Spatial Data Infrastructure

38. Geoportals

41. Information-Explosion Era

42. Information-Explosion Era

43. Information-Explosion Era Google Earth bing virtual earth openstreetmap

44. Information-Explosion Era

45. Information-Explosion Era

46. Information-Explosion Era http://www.giscloud.com/map/11766/timatongis/tourism-in-matera-on-geographic-information-system

47. Information-Explosion Era

48. Semantic Matching http://slashgeo.org/2011/05/24/Geospatial-Semantic-Web-Part-Inevitable-Future

49. Semantic Matching Neither a standard data format nor a common data model allows for the transfer of the meaning of information The more complex issue of what is represented instead of how it is represented needs to be addressed

50. Semantic Matching  Users   Table Vegetation Table Fauna … Logical Model  Fauna wolf wildcat fox … Database Vegetation Conifers Hardwood Species, Mediterranean macchia…   fauna forest live Conceptual Model Vegetation Fauna observer Real world

51. Semantic Matching Perception Lake??? Body of water??? Lagoon??? Basin???

56. ONTOLOGY Fundamental steps in ontology building, represented through a layer cake (adapted from Cimiano, 2006).

59. Building ontologies for disaster management: seismic risk domain Damage definition B. Murgante, G. Scardaccione, G. Las Casas

60. Building ontologies for disaster management: seismic risk domain Damage definition B. Murgante, G. Scardaccione, G. Las Casas

61. Building ontologies for disaster management: seismic risk domain Definition of emergency area and strategic elements B. Murgante, G. Scardaccione, G. Las Casas

62. Building ontologies for disaster management: seismic risk domain Relationship IS_A is a link generalization / specialization among entities Super-class entities generalize the sub-classes Sub-class entities are Super-class specialization Sub-classes inherit Super-class attributes B. Murgante, G. Scardaccione, G. Las Casas Attribute 1 Sub-class 1 Super-class Sub-class 2 Attribute 2 Attribute 3 IS_A

63. Super-class Sub-class Building ontologies for disaster management: seismic risk domain B. Murgante, G. Scardaccione, G. Las Casas

64. Relationship Contribuisce a Vulnerabilità Rischio sismico Building ontologies for disaster management: seismic risk domain B. Murgante, G. Scardaccione, G. Las Casas

65. Relationship IS_A

66. Building ontologies for disaster management: seismic risk domain B. Murgante, G. Scardaccione, G. Las Casas

67. Building ontologies for disaster management: seismic risk domain B. Murgante, G. Scardaccione, G. Las Casas

68. Building ontologies for disaster management: seismic risk domain Representation of relationships between concepts B. Murgante, G. Scardaccione, G. Las Casas

69. Attributes inherited from type of vulnerability Specific attribute of physic vulnerability Defining properties Building ontologies for disaster management: seismic risk domain B. Murgante, G. Scardaccione, G. Las Casas

70. Ontological Network Tree structure concerning seismic risk.