Main Page

From GeoKnow Wiki
Jump to: navigation, search

Welcome to the GeoKnow wiki!

For general information on GeoKnow, please go to This Wiki is used for internal project management and the vast majority of the content not visible when not logged in.

General project goals:

A large part of the information we deal with on a daily basis has some kind of a geographic dimension. In private life, we might be looking for the opening hours of the bakery shops surrounding our home and perhaps be looking for their special offerings of the day. In our professional life, we may be interested in aggregating sales of customers in South-East Asia, perhaps ordered by the Human Development Index of the country the customer is based in. Often the information required to answer our queries is available, but dispersed among a multiplicity of information sources. The aim of the GeoKnow project is to make information seeking easier by allowing exploration, editing and interlinking of heterogeneous information sources with a spatial dimension. Traditional Geographic Information Systems (GIS) offer rigid sets of geographic features. However, integrating external data sets into these systems typically requires manual integration and programming efforts to ensure that the meaning of the provided information will be processable. Within GeoKnow we will spur the transition from islands of isolated Geographic Information Systems (GIS) to a geospatially enriched Linked Data Web where geographic information can easily be integrated and processed. To realise this aim, GeoKnow will provide concepts, algorithms and tools that enable to combine and manipulate geographic information with other data types that are already present on the Linked Data Web.

GeoKnow addresses a bold challenge in the area of intelligent information management: the exploitation of the Web as a platform for geospatial knowledge integration as well as for exploration of geographic information.

Possibly one of the most interesting and promising outcomes of the activity surrounding the Web 2.0 evolution has been the large-scale adoption of Linked Data. Figure shows the Linked Open Data (LOD) cloud as of September 2011. The amount of web-accessible facts exceeds today 31 billion. Among the largest data sets are geographic knowledge bases, e.g. LinkedGeoData (2 billion triples, derived by InfAI from OpenStreetMap), DBpedia (1 billion triples) and GeoNames (146 million triples). A considerable number of users and organizations contribute and work with structured geospatial data on the web. The idea of large-scale collaborative spatial data management has therefore evolved from a practical research idea into a very promising candidate to address some of the biggest challenges in the area of intelligent information management: the exploitation of the Web as a platform for geospatial data integration as well as for searching and querying for geographic information.

Personal tools