Facetted Search on Extracted Fusion Tables Data for Digital Cities (Extended version)

Abstract : Digital cities of the future should provide digital information about points-of-interest (POIs) for virtually any context user. Starting from several Google Fusion tables about city POIs, we extracted and transferred useful POI data to RDF to be accessible by SPARQL requests. In this initial application context, we concentrated on museum and restaurant resources as the result of a precision-oriented information extraction part. With the current application system we are able to retrieve, filter and order digital cities POI data in multiple ways. With the help of facets, users can do more than just browsing the museums and restaurants. They can filter the relevant objects according to available metadata criteria such as city, country, and POI categories. Different views allow us ti visualize the objects of interest as tables, thumbnails, or POIs on an interactive map. In addition, any complementary information on the cities where museums and restaurants are located are retrieved from DBpedia and displayed at query time.
Document type :
Conference papers
Liste complète des métadonnées

https://hal.inria.fr/hal-00787489
Contributor : Chantal Reynaud <>
Submitted on : Tuesday, February 12, 2013 - 11:32:43 AM
Last modification on : Wednesday, January 23, 2019 - 11:26:02 AM

Identifiers

  • HAL Id : hal-00787489, version 1

Collections

Citation

Gianluca Quercini, Jochen Setz, Daniel Sonntag, Chantal Reynaud. Facetted Search on Extracted Fusion Tables Data for Digital Cities (Extended version). WoLE 2012: Web of Linked Entities, in conjunction with the 11th International Semantic Web Conference (ISWC 2012), Nov 2012, Boston, United States. ⟨hal-00787489⟩

Share

Metrics

Record views

117