eMerges - Terra Cognita 2006 Workshop (ISWC)

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Slides describing the eMerges approach at the <a href="http://www.ordnancesurvey.co.uk/oswebsite/partnerships/research/research/terracognita.html">Terra Cognita Workshop</a>, collocated with ISWC.

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eMerges - Terra Cognita 2006 Workshop (ISWC)

  1. 2. Smart GIS Vlad Tanasescu @ KMi January 23, 2006
  2. 3. Vlad Tanasescu @ KMi Dr. John Domingue Prof. Enrico Motta Prof. Marc Eisenstadt Supervision team:
  3. 4. Gugliotta, A., Domingue, J., Villarías, L., Davies, R., Rowlatt, M., Richardson, M., Stincic, S.
  4. 6. What is Spatial Data?
  5. 7. 'up to 80 percent of data have a spatial component’
  6. 8. 'up to 80 percent of data have a spatial component' is now part of our geographical lexicon (e.g., Boulos and Roudsari 2000; Francica 2000; McKee 2001; Swartz 2001). Klinkenberg (2003), The true cost of spatial data in Canada . The Canadian Geographer 47 (1), 37-49. This is more significant knowing the fact that about eighty percent of all data have a spatial component Dent et al. (2000), Using GIS to Study the Health Impact of Air Emissions , Drug and Chemical Toxicology, Volume 23 It is estimated that eighty percent of all data have a spatial component ; therefore… Radford University, Geoinformatics information page, http://www.radford.edu/~informatics/geoinformatics.shtml Moreover, while it is estimated that up to 85% of all data have a spatial component … Brown University (2001), Project Description, http://envstudies.brown.edu/thesis/2001/james/intro.html Estimates suggest that up to up to 80% of all applications have a geographical component Terra Cognita 2006 - Directions to the Geospatial Semantic Web
  7. 9. Data Spatial Related Data
  8. 10. Spatial Object Data Spatial Related Data
  9. 11. … things with ‘whereness’… James Hood and Antony Galton, Implementing Anchoring , GIScience 2006
  10. 12. Whereness?
  11. 13. David Hockney, Still Life on a Glass Table , 1971-72
  12. 14. Where is the vase?
  13. 15. … on the table
  14. 16. Table-Top Space (TTS)
  15. 17. David Hockney, Nichols Canyon , 1980
  16. 18. Where are the mountains?
  17. 19. David Mark and Gaurav Sinha, Ontology of Landforms: Delimitation and Classification Of Topographic Eminences , GIScience 2006
  18. 21. Where is the canyon?
  19. 22. Antony Galton and James Hood, Anchoring: A New Approach to Handling Indeterminate Location in GIS , COSIT 2005
  20. 24. Can we count the forests?
  21. 25. Brandon Bennett, What is a Forest? On the Vagueness of Certain Geographic Concepts , Topoi, 20:189-201, 2001C
  22. 27. Geographic Space (GS)
  23. 28. = Table-Top Space (TTS) Geographic Space (GS)
  24. 29. Vagueness + Multirepresentation
  25. 30. Candidate solutions?
  26. 31. GIS
  27. 32. SELECT C1.Name, R1.Name FROM City C1, River R1 WHERE Distance(C1.Shape,R1.Shape) <= ALL (SELECT Distance(C2.Shape) FROM City C2 WHERE C1.Name <> C2.Name)
  28. 33. Vagueness + Multirepresentation
  29. 34. Web2.0 Maps
  30. 36. APIs + Reality Effect
  31. 37. Reality Effect
  32. 40. APIs
  33. 42. Geo mashups
  34. 43. housingmaps.com
  35. 44. popular
  36. 46. Limitations?
  37. 47. Points on a map… None of the GS specificities are handled
  38. 48. … lacking semantics
  39. 50. <ul><li>integrating data sources </li></ul><ul><li>understanding them </li></ul><ul><li>understanding the user </li></ul>
  40. 51. What can we do?
  41. 52. What is a Spatial Objects
  42. 53. grab count move smell
  43. 54. Affordances
  44. 55. what the environment &quot;provides or furnishes, either for good or ill&quot; J.J. Gibson, 1979
  45. 56. In an information medium?
  46. 57. opportunities to collect useful data and representations
  47. 58. The actual work of establishing a useful affordance hierarchy is formidable. Jordan, Raubal, Gartrell, Egenhofer, An Affordance-Based Model of Place in GIS , SDH 1998 We limit the presentation to type classes, representing categories as the set of types sharing some behavior, i.e., offering common affordances. Werner Kuhn, Modeling the Semantics of Geographic Categories through Conceptual Integration , GIScience 2002
  48. 59. ? ? ?
  49. 60. Lack of context
  50. 62. Where are adapted rest centres and open supermarkets Get rest-centres in area Get-supermarkets in area
  51. 63.
  52. 64. How to get there? Get access roads
  53. 65.
  54. 67. Where ? Get accessible areas Get access paths
  55. 68.
  56. 69. How to accommodate people? Get habitable parts Get catering facilities
  57. 70.
  58. 71. Key to integration 1: Context
  59. 72. - user role - task - object - localization Context:
  60. 73. ? ? ? context +
  61. 74. Key to integration 2: Data Spatial Related Data Affordances Spatial Object
  62. 75. context +
  63. 76. Semantic Web Services
  64. 77. Objectives that a client wants to achieve by using Web Services <ul><li>Semantic </li></ul><ul><li>description </li></ul><ul><li>of Web Services: </li></ul><ul><li>Capability ( functional) </li></ul><ul><li>- Interfaces ( usage ) </li></ul>Provide the formally specified terminology of the information used by all other components Connectors between components with mediation facilities for handling heterogeneities WSMO MEDIATORS GOALS WEB SERVICES ONTOLOGIES
  65. 78. WSMO 2 GS MEDIATORS GOALS WEB SERVICES ONTOLOGIES Data Spatial Related Data Affordances Spatial Object
  66. 79. Client Services IRS-III
  67. 80. Client IRS-III
  68. 81. DIP : a 17M Euro integrated project
  69. 82. DIP WP9 Scenario: Weather Emergency Planning
  70. 84. BuddySpace Server BuddySpace Services Google Maps API AJAX Accommodation Goal Environment Goal Presence Goal Archetypes SGIS-Spatial Emergency-GIS-Domain Emergency-GIS-Goals BuddySpace Goals Smart Filter Services ViewEssex Services Environment Services
  71. 86. Reception
  72. 87. singled out by the 3 external reviewers as the best exemplar for SWS technology in DIP shortlisted as a finalist for the Semantic Web Challenge at ISWC 2006 Won Semantic Web Scripting Challenge at a ESWC 2006
  73. 88. http://irs-test.open.ac.uk/sgis-dev/
  74. 89. Thank you

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