OSM-Geocoding mit Solr (fossgis2014)

What this episode covers

Die Informationstiefe von OpenStreetMap wächst rasant und übertrifft teilweise die der kommerziellen Anbieter deutlich. Diese Informationen sind zumeist visuell als Karte zugänglich. Die Daten textuell durchsuchbar zu machen ist vergleichsweise komplizierter aber nicht weniger relevant. Aktuelle Open-Source-Lösungen zur Durchsuchung von OSM-Daten hinken deshalb den kommerziellen Angeboten deutlich hinterher. Komoot (www.komoot.de) hat erst kürzlich seinen intern entwickelten Geo-Coder *photon* als Open Source veröffentlicht. Damit ebnen wir den Weg zu einer gemeinschaftlichen Entwicklung eines Geo-Coders unter Verwendung des aktuellen Stands der Technik. Photon verwendet *Apache Solr*, eine effiziente und hochskalierbare Suchtechnologie mit zahlreichen Features, darunter Volltextsuche und räumliche Abfragen. Mehrsprachigkeit sowie kontinuierliche Suche während der Texteingabe werden unter anderem unterstützt. Der Vortrag wird auf die Problemstellung näher eingehen sowie die Stärken und Schwächen von photon beleuchten. Gerne stellen wir uns Fragen und Anregungen aus dem Publikum. Unter www.komoot.de kann *photon* im live Betrieb begutachtet werden, nähere Infos zum Projekt finden sich auf github: https://github.com/komoot/photon about this event: https://fossgis-konferenz.de/2014/programm/events/681.de.html

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This episode is 21 minutes long.

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This episode was published on March 20, 2014.

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Die Informationstiefe von OpenStreetMap wächst rasant und übertrifft teilweise die der kommerziellen Anbieter deutlich. Diese Informationen sind zumeist visuell als Karte zugänglich. Die Daten textuell durchsuchbar zu machen ist vergleichsweise...

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