Paper Info
Title
Exposing Open Street Map in the Linked Data Cloud.
Abstract
After the mobile revolution, geographical knowledge has getting more and more importance in many location-aware application scenarios. Its popularity influenced also the production and publication of dedicated datasets in the Linked Data (LD) cloud. In fact, its most recent representation shows Geonames competing with DBpedia as the largest and most linked knowledge graph available in the Web. Among the various projects related to the collection and publication of geographical information, as of today, Open Street Map (OSM) is for sure one of the most complete and mature one exposing a huge amount of data which is continually updated in a crowdsourced fashion. In order to make all this knowledge available as Linked Data, we developed LOSM: a SPARQL endpoint able to query the data available in OSM by an on-line translation form syntax to a sequence of calls to the OSM overpass API. The endpoint makes also possible an on-the-fly integration among Open Street Map information and the one contained in external knowledge graphs such as DBpedia, Freebase or Wikidata.
Year
DOI
Venue
2016
10.1007/978-3-319-42007-3_29
Lecture Notes in Artificial Intelligence
DocType
Volume
ISSN
Conference
9799
0302-9743
Citations 
PageRank 
References 
5
0.53
11
Authors
5
Name
Order
Citations
PageRank
Vito Walter Anelli19118.45
Andrea Calì2144196.64
Tommaso Di Noia31857152.07
Matteo Palmonari445044.73
Azzurra Ragone551140.86