Dr. Matthias Wauer | GeoLD 2015: 15. September 2015 UNISTER | Slide 1
Spatial Data Web Application in
E-Commerce /Tourism
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
Currently available search interfaces:
Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce /Tourism'' 15. September 2015 UNISTER | Slide 4
Motivation
Currently available search interfaces:
Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce /Tourism'' 15. September 2015 UNISTER | Slide 5
Motivation
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
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
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
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
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
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
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
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
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
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
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
Demonstrator
Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce /Tourism'' 15. September 2015 UNISTER | Slide 17
Results
Demonstrator
Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce /Tourism'' 15. September 2015 UNISTER | Slide 18
Results
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
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