Neogeography: the challenge of channeling large and ill-behaved data streams

Neogeography concerns applications in which geographic information derives from end-users, not from information providers. In the developed world, it exists already in the form of photos made, meetings held, and historically traced work schedules. In the less developed world, it will emerge among modern ICT users and via cell phone networks, e.g. in sectors like health, education, infrastructure, agriculture and domestic industry. In this joint effort, ITC and UT will join to allow integration of methods and techniques.

Project 1: spatiotemporal data technology in XML databases

This research project considers the XQuery MonetDB extension that has resulted in a high-performance XLW data engine. It aims to include a spatial feature support and to address spatiotemporal support. Emphasis will be on algebraic optimization in presence of space/time features, specifically for spatiotemporal query formats expected in neogeographic applications. It also addresses data model support to make the uncertainty explicit that often comes with neogeography end-users and the data provided by them.

Project 2: serving neogeographic end-users timely and intelligently

In this research project, we focus on (possibly lay) end-users, who may be approaching the system with a request for information services. These requests involve explicit reference to where and when though sometimes in vague terms, and the request can be reiterated often, sometimes with changed parameters. The system holds knowledge about historic requests by this end-user, and has access to other spatiotemporal data sources to address the request. The project will address the full value chain, from initial user request to eventual service delivery, plus the administration for historic service tracing.