Neogeography: the challenge of channelling large and ill-behaved data streams Maurice van Keulen and...

Neogeography: the challenge of channelling large and ill-behaved data streamsMaurice van Keulen and Rolf de By

Spatial information is becoming an ordinary commodity

Google Earth & Maps, MS Bing, NASA’s WorldWind

Geo-tagging of visited places, meetings, activities; automatic geo-

tagging by personal devices: photo/video camera, cell phone

Social networks with location intelligence

In the less developed world, serious applications are slowly becoming

a reality

Location intelligence for agriculture, health, transportation and

traffic, education, emergency mitigation, electronic payments,

election monitoring, market prices etc.

12 Mar 2010Kick-off Neogeography 2

FOR SERIOUS APPLICATIONS IN THE LESS DEVELOPED WORLDLOCATION INTELLIGENCE


SOCIAL NETWORK APPLICATIONS

Trucking and road availability

Farming and field suitability

Traffic and car-pooling

Emergency response

Crime and neighbour-

hood vigilance

Urban utility monitoring

Neogeography: applications in which geographic information derives

from end-users, not only from official bodies like mapping agencies,

cadastres or other official, (semi-)governmental entities.

Central problems User community is dynamic Users contribute information and expect something in return Contributed information is not necessarily of good quality or trust Contributed information is somewhat unstructured

(contributors cannot be expected to follow strict data schemes and they may only have access to a cell-phone operated network)

Need for a new brand of location-based information management


NEOGEOGRAPHY

Example neogeo sites

Importance of neogeography in disaster response

In disaster events: In situ real-time data

may be scarce, may be mutually inconsistent, and may change over time is needed to augment partial knowledge and understanding.

Communication infrastructure may be damaged. All data is welcome, all kinds of data also:

witness reports photos audio videos human and machine sensor readings

General public is a powerful information source, and generally has an incentive to report (911).

The neogeographers in disasters

People on site

People affected

Rescuers and other professionals

Mobile telephone providers

Press

Biggest challenge: how to make sense of large amounts of not very

trustworthy information:

Can you rely on what unknown sources inform you about?


SYSTEM OBJECTIVE

XML

sms / sensor & satellite data / data from official bodies

geoservices

Open source XML-based spatial data

infrastructure capable of

orchestrating & processing

ambiguous/vague semi/unstructured

geodata workflows delivering

personalized geoservices

Spatiotemporal features

Extend XML database technology to fully include spatial feature

support (OGC) and support for fully XML-based development of

geoservices and spatiotemporal analysis

Spatiotemporal vagueness

Extend information extraction technology to handle ambiguity and

spatiotemporal vagueness in sensor data and explicit natural

language references to the where and when

Data augmentation and data quality improvement

Spatiotemporal profiling

Provide better understanding of user’s information needs by

analyzing historic requests and offered neogeographic data

User profile pattern matching: finding like-minded users


SCIENTIFIC CHALLENGES

Space and time issues

Uncertainty and trust

Role of the volunteered information

Difference: handling the map versus handling the data


CONNECTION WITH OTHER NEOGEO PROJECT


THE TEAM

Rolf de By(ITC)

Mauricevan Keulen

(UT)

Jan Flokstra(UT)

ClarisseKagoyire (ITC)

Mena Badieh Habib (UT)

PhD student @ITCBackground: Master @ITC about “Web geoprocessing services on GML with a fast

XML database”She proved the feasibility of some this project’s ideas.

PhD student @UTBackground: Master @Ain Shams University, Cairo about “Automated Arabic

Text Categorization”Strong background in

natural language processing and text/data mining.

Think outside the box

Neogeography: the challenge of channelling large and ill-behaved data streams Maurice van Keulen and...

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