InfAI - de/Datenbanken

2009-11-05 13:14:10

Vergleich von /de / Datenbanken vom 2009-11-05 13:14:10 und 2009-11-19 10:25:20

hinzugef�gt:

Spatial data is crucial for the Semantic Data Web in order to interlink geographically linked resources. The Open Street Map project collects, organizes and publishes geodata in the wiki way. Currently, 80.000 Open Street Map users have collected data of about 22.000.000 km ways (roads, highways etc.) around the globe. 25.000 km are added daily. The Open Street Map database also contains a vast amount of structured information about points-of-interest such as shops, amenities, sports venues, businesses, touristic and historic sights.

entfernt:

Spatial data is crucial for the Semantic Data Web in order to interlink geographically linked resources.
The Open Street Map project collects, organizes and publishes geo data the wiki way. Currently, 80.000 Open Street Map users have collected data about 22.000.000 km ways (roads, highways etc.) on the earth. 25.000 km are added daily. The Open Street Map database also contains a vast amount of structured information about points-of-interest such as shops, amenities, sports venues, businesses, touristic and historic sights.

2009-11-03 22:39:52

Vergleich von /de / Datenbanken vom 2009-11-03 22:39:52 und 2009-11-05 13:14:10

hinzugef�gt:

DBpedia is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to ask sophisticated queries against Wikipedia and to link other datasets on the Web to Wikipedia data.
Impact: 300 posts about DBpedia in the Blogosphere (according to Technorati), ca. 100.000 visitors at the DBpedia website in 2007, on average 350 visitors daily. DBpedia has become the most popular dataset used with Semantic Web applications and research prototypes.
The Open Street Map project collects, organizes and publishes geo data the wiki way. Currently, 80.000 Open Street Map users have collected data about 22.000.000 km ways (roads, highways etc.) on the earth. 25.000 km are added daily. The Open Street Map database also contains a vast amount of structured information about points-of-interest such as shops, amenities, sports venues, businesses, touristic and historic sights.

entfernt:

DBpedia is a community effort to extract structured information from Wikipedia and make this information available on the Web. DBpedia allows you to ask sophisticated queries against Wikipedia and to link other datasets on the Web to Wikipedia data.
Impact: 300 posts about DBpedia in the Blogosphere (according to Technorati), ca. 100.000 visitors at the DBpedia website in 2007, on average 350 daily visitors. DBpedia has become the most popular dataset used with Semantic Web applications and research prototypes.
The Open Street Map project collects, organizes and publishes geo data the wiki way. Currently the 80.000 Open Street Map users collected data about 22.000.000km ways (roads, highways etc.) on earth. 25.000km are added daily. The Open Street Map database also contains a vast amount of structured information about points-of-interest such as for example shops, amenities, sports venues, businesses, touristic and historic sights.

2009-10-28 15:53:21

Vergleich von /de / Datenbanken vom 2009-10-28 15:53:21 und 2009-11-03 22:39:52

hinzugef�gt:

LinkedGeoData

entfernt:

Linked Geo Data

2009-10-28 15:42:57

Vergleich von /de / Datenbanken vom 2009-10-28 15:42:57 und 2009-10-28 15:53:21

hinzugef�gt:

Inhalt

Cofundos

DBpedia

LinkedGeoData

2009-10-28 15:40:59

Vergleich von /de / Datenbanken vom 2009-10-28 15:40:59 und 2009-10-28 15:42:57

hinzugef�gt:

Linked Geo Data

Spatial data is crucial for the Semantic Data Web in order to interlink geographically linked resources.
The Open Street Map project collects, organizes and publishes geo data the wiki way. Currently the 80.000 Open Street Map users collected data about 22.000.000km ways (roads, highways etc.) on earth. 25.000km are added daily. The Open Street Map database also contains a vast amount of structured information about points-of-interest such as for example shops, amenities, sports venues, businesses, touristic and historic sights.