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Geold2015 wauer

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Tourism and geospatial linked data

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Geold2015 wauer

  1. 1. Dr. Matthias Wauer | GeoLD 2015: 15. September 2015 UNISTER | Slide 1 Spatial Data Web Application in E-Commerce /Tourism
  2. 2. Content Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce /Tourism'' 15. September 2015 UNISTER | Slide 2 1. Motivation 2.Spatial Data in E-Commerce /Tourism 3. Data Preparation and Use 4.Search Architecture 5.Results
  3. 3. Search Motives ● Culture ● Mountains ● Relaxing ● Wellness ● Water sports ● Warm weather ● ... Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce /Tourism'' 15. September 2015 UNISTER | Slide 3 Motivation Aggregated Hotel Database
  4. 4. Currently available search interfaces: Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce /Tourism'' 15. September 2015 UNISTER | Slide 4 Motivation
  5. 5. Currently available search interfaces: Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce /Tourism'' 15. September 2015 UNISTER | Slide 5 Motivation
  6. 6. What we need: Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce /Tourism'' 15. September 2015 UNISTER | Slide 6 Motivation Winter vacation in the mountains with culture Search 1. Preprocess search motives 2. Interpret search query 3. Perform search and return matching offers
  7. 7. Example: Culture motive ● nearby theatres, operas, art expos ● music festivals ● museums Sources in LOD we used: ● DBpedia ● LinkedGeoData Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce /Tourism'' 15. September 2015 UNISTER | Slide 7 Geospatial Data Sources
  8. 8. Example: LinkedGeoData theatres inVienna, visualised using Facete Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce /Tourism'' 15. September 2015 UNISTER | Slide 8 Motivation
  9. 9. Geospatial Motives: Generated polygons based on the density of motive features 1. Extract points from sources 2. ApplyVoronoi tesselation 3. Intersect the Voronoi results with circles 4. Compute score: e.g., inverse of polygon surface Example: Educational regions in Germany Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce /Tourism'' 15. September 2015 UNISTER | Slide 9 Data Preparation and Use
  10. 10. Geospatial Motives: Generated polygons based on the density of motive features 1. Extract points from sources 2. ApplyVoronoi tesselation 3. Intersect the Voronoi results with circles 4. Compute score: e.g., inverse of polygon surface Example: Educational regions in Germany Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce /Tourism'' 15. September 2015 UNISTER | Slide 10 Data Preparation and Use
  11. 11. Geospatial Motives: Generated polygons based on the density of motive features 1. Extract points from sources 2. ApplyVoronoi tesselation 3. Intersect the Voronoi results with circles 4. Compute score: e.g., inverse of polygon surface Example: Educational regions in Germany Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce /Tourism'' 15. September 2015 UNISTER | Slide 11 Data Preparation and Use
  12. 12. Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce /Tourism'' 15. September 2015 UNISTER | Slide 12 Data Preparation and Use: SEMANTICS Use Case
  13. 13. Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce /Tourism'' 15. September 2015 UNISTER | Slide 13 Data Preparation and Use: SEMANTICS Use Case Polygons for Mountains geospatial motive
  14. 14. Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce /Tourism'' 15. September 2015 UNISTER | Slide 14 Data Preparation and Use: SEMANTICS Use Case Polygons for Mountains geospatial motive Polygons for Culture geospatial motive
  15. 15. Search Infrastructure Overview: ➔ Query Analysis ➔ Semantic Search in OntologySearchService Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce /Tourism'' 15. September 2015 UNISTER | Slide 15 Search Infrastructure
  16. 16. Preprocessed data on hotels stored in bit sets: ➔ see presentation tomorrow 16:30 for details onVirtuoso integration Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce /Tourism'' 15. September 2015 UNISTER | Slide 16 Search Infrastructure
  17. 17. Demonstrator Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce /Tourism'' 15. September 2015 UNISTER | Slide 17 Results
  18. 18. Demonstrator Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce /Tourism'' 15. September 2015 UNISTER | Slide 18 Results
  19. 19. Analysis Scenario with mobile frontend (screen) ● Use Case: Selecting potential regions for building a new hotel Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce /Tourism'' 15. September 2015 UNISTER | Slide 19 Results
  20. 20. Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce /Tourism'' 15. September 2015 UNISTER | Slide 20 Contact Dr. Matthias Wauer Researcher and Developer Unister GmbH Tel +49 341 65050-26222 matthias.wauer@unister.de GA no. 318159

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