What is Location and does Location matter?
Published by cornelius on Wednesday, February 11th, 2009 in Locative Dynamics.Tags: brainstorming, gps, location, location-based services, placemarks
In an upcoming series of blog posts I will write about geospatial web content, location-based services and the Geo / Geospatial Semantic Web. The focus will always be on the location aspect of web content but why is location something special?
Some brainstorming about location:
- Definition: GPS coordinates (WGS84), extents/bounding boxes, shapes, gazetteers, Geonames, OpenStreetMap, Where on Earth IDs
- Distance: nearby, vicinity, neighborhood
- Visualization: map vs. textual representation
- Annotation: manual (drag a marker on a map) vs. automatic (GPS sensor)
- Application: business vs. consumer centric
- Services: location-based services, citizen journalism, proximity dating, virtual walls, location-based messaging, context-sensing, emergency management,…
- Tools: GIS, Web GIS, Mashups
- Usage: location as enabler, location as requirement, location as support mechanism
- Perspective: real-time user location, friends nearby, setting location on demand
There are many sides to consider when thinking abaout location data and how it can be used in new and better intgrated ways.
Relevance for my thesis:
There is a large amount of geo-referenced user-generated content available in the Websphere, distributed over dozens or hundred of service providers. This aggregated data provides detailed contextual information for events, news, places or businesses. Semantically linking this user-generated contextual information to activities from sensors and sensor networks, e.g. seeismic wave notifications from earthquake detection system, can help to bridge the two worlds of the social and the sensor web.
Relevance for Tagcrumbs:
Every placemark in Tagcrumbs has a GPS coordinate attached to it, this location annotation provides the foundation to show placemarks, photos or wikipedia articles nearby, the distance to your current location or the visualization via KML or GeoRSS on maps. In the backend there is a PostgreSQL/PostGIS relational database optimized for geospatial queries (e.g. distance queries). Location matters!
Attribution: Screenshot provided under CC by Locify on Flickr.
