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Dr. Matthias Wauer | GeoLD 2015: 15. September 2015 UNISTER | Slide 1 Spatial Data Web Application in E-Commerce / Tourism

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Page 1: Geold2015 wauer

Dr. Matthias Wauer | GeoLD 2015: 15. September 2015 UNISTER | Slide 1

Spatial Data Web Application in E-Commerce / Tourism

Page 2: Geold2015 wauer

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

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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

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Currently available search interfaces:

Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce / Tourism'' 15. September 2015 UNISTER | Slide 4

Motivation

Page 5: Geold2015 wauer

Currently available search interfaces:

Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce / Tourism'' 15. September 2015 UNISTER | Slide 5

Motivation

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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

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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

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Example: LinkedGeoData theatres in Vienna, visualised using Facete

Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce / Tourism'' 15. September 2015 UNISTER | Slide 8

Motivation

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Geospatial Motives: Generatedpolygons based on the densityof motive features

1. Extract pointsfrom sources

2. Apply Voronoitesselation

3. Intersect theVoronoi resultswith circles

4. Compute score:e.g., inverse ofpolygon surface

Example: Educational regionsin Germany

Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce / Tourism'' 15. September 2015 UNISTER | Slide 9

Data Preparation and Use

Page 10: Geold2015 wauer

Geospatial Motives: Generatedpolygons based on the densityof motive features

1. Extract pointsfrom sources

2. Apply Voronoitesselation

3. Intersect theVoronoi resultswith circles

4. Compute score:e.g., inverse ofpolygon surface

Example: Educational regionsin Germany

Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce / Tourism'' 15. September 2015 UNISTER | Slide 10

Data Preparation and Use

Page 11: Geold2015 wauer

Geospatial Motives: Generatedpolygons based on the densityof motive features

1. Extract pointsfrom sources

2. Apply Voronoitesselation

3. Intersect theVoronoi resultswith circles

4. Compute score:e.g., inverse ofpolygon surface

Example: Educational regionsin Germany

Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce / Tourism'' 15. September 2015 UNISTER | Slide 11

Data Preparation and Use

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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

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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

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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

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Search Infrastructure Overview:

➔ Query Analysis

➔ Semantic Search inOntologySearchService

Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce / Tourism'' 15. September 2015 UNISTER | Slide 15

Search Infrastructure

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Preprocessed data on hotels stored in bit sets:➔ see presentation tomorrow 16:30 for details on Virtuoso integration

Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce / Tourism'' 15. September 2015 UNISTER | Slide 16

Search Infrastructure

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Demonstrator

Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce / Tourism'' 15. September 2015 UNISTER | Slide 17

Results

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Demonstrator

Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce / Tourism'' 15. September 2015 UNISTER | Slide 18

Results

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Analysis Scenario with mobile frontend (screen)

● Use Case: Selecting potential regions forbuilding a new hotel

Dr. Matthias Wauer | GeoLD 2015 ''Spatial Data Web Application in E-Commerce / Tourism'' 15. September 2015 UNISTER | Slide 19

Results

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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 DeveloperUnister GmbHTel +49 341 [email protected]

GA no. 318159