WP 6 – GeoKnow for E-Commerce

One use case scenario for the interlinking and fusing spatial data mentioned above is Linked Travel/Tourism Data. Thereby, effectiveness and efficiency of the customer relationship depends on knowledge that, a company progressively gains about its former and future customer as well as the properties of relevant regions. Thus, incorporating large open data sets on geospatial knowledge and interlinking them with travel/tourism data will provide new global knowledge about customers’ needs and regions’ properties to a company. Imagine, for example, a big travel web-portal having millions of customer records containing invoice addresses and booked vacations. Besides this, there are many open data sets in the domain of travel mostly provided by local organisations. Moreover, social networks like Facebook, Foursquare, Google Latitude and many more incorporate geographically locatable user profiles that contain information about attended events and visited places. These profiles are interconnected via social networks and Friend of a Friend (FOAF) profiles. Putting all this information together enables the company to provide user-centered applications to answer queries like:

  • What kind of new products is my customer likely willing to buy? After receiving the permission of the user to use his data, this query can be answered integrating travel profiles (most likely check-ins) from social networks and matching the recently travelled regions or top-n favorite locations of his peer-groups.
  • Which geographical regions are most suitable for a special event? Combining the information from GeoNames (places, population), DBpedia (generic background information, such as relations to important companies or flood incidents), internal customer data (sales data) and open event data (e.g. cultural or sports events) leads to a geographical density allocation of target groups that can be analysed. Especially establishing new places like hotels can be optimizied this way.
  • Thus, the company's goal would be to integrate their internal data with the open linked data by interlinking their geographical data as well as exploiting social network structures of the open data sets.


T6.1 Customer data selection, retrieval and preparation
T6.2 Design integration methods and develop prototype to utilize RTD results
T6.3 Motive and topic-based Search Infrastructure and UI interfaces
T6.4 Evaluation and testing of the search prototype

Hosted by

Universität Leipzig , InfAI: Institut für Angewandte Informatik

Funded by

EU Seventh Framework Programme (FP7)

Community and Social Media



EDF2015 and Linked Data Europe: Big Geospatial Data Workshop ( 2015-11-24T23:46:33+01:00 Alejandra Garcia Rojas)

2015-11-24T23:46:33+01:00 Alejandra Garcia Rojas

In 2015, the European Data Forum took place in Luxembourg on the 16th and 17th November. GeoKnow team had the pleasure to be present at the event with a booth for showing GeoKnow results. The conference welcomed over 700 participants from industry, research, policy makers, and community initiatives form all over Europe. Read more about "EDF2015 and Linked Data Europe: Big Geospatial Data Workshop"

Linked Open Data Switzerland at SWBI2015 ( 2015-10-12T09:56:15+02:00 Daniel Hladky)

2015-10-12T09:56:15+02:00 Daniel Hladky

Daniel Hladky from Ontos presented GeoKnow at the SWBI2015 conference two talks. The first talk was the keynote on October 7, 2015 with the title “Linked Data Service (LINDAS): Status quo of the Linked Data life-cycle and lessons learned“. Read more about "Linked Open Data Switzerland at SWBI2015"

FAGI-gis: fusing geospatial RDF data ( 2015-10-05T13:08:20+02:00 Giorgos Giannopoulos)

2015-10-05T13:08:20+02:00 Giorgos Giannopoulos

GeoKnow introduces the latest version of FAGI-gis, a framework for fusing Linked Data, that focuses on the geospatial properties of the linked entities. Read more about "FAGI-gis: fusing geospatial RDF data"

GeoKnow Public Datasets ( 2015-09-19T16:15:29+02:00 Alejandra Garcia Rojas)

2015-09-19T16:15:29+02:00 Alejandra Garcia Rojas

In this blogpost we want to present three public datasets that were improved/created in GeoKnow project. LinkedGeoData Size: 177GB zipped turtle file URL: http://linkedgeodata.org/ LinkedGeoData is the RDF version of Open Street Map (OSM), which covers the entire planet geospatial data information. Read more about "GeoKnow Public Datasets"

GeoKnow at Semantics 2015, Vienna ( 2015-09-18T15:12:48+02:00 Alejandra Garcia Rojas)

2015-09-18T15:12:48+02:00 Alejandra Garcia Rojas

Several partners of GeoKnow were present this year at the Semantics conference 2015. The previous day of the conference we organised a workshop about the work done during these last three years in GeoKnow. Read more about "GeoKnow at Semantics 2015, Vienna"