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Integration of Geographies and Areal Classifications as Linked Open Data - IGALOD

Tuuli Pihlajamaa, Daniel Davis, Eero Hietanen, Essi Kaukonen, Kai Koistinen, Jennika Leino, Sanna-Mari Pohjolainen and Rina Tammisto

(Submission #17)


Abstract

IGALOD is a two-year Eurostat Grant funded cooperational project between Statistics Finland (NSI) and the National Land Survey of Finland (NMA). The aim of the project is to create links between areal classifications and corresponding geographies, so that they can be utilized throughout the statistical production process, published as linked open data (LOD), and used to create new interactive map applications.

The project will cover multiple actions starting from creating ontologies for areal classifications and geographic data, creating the identifier system and URI’s (Uniform Resource Identifiers) for them, creating a linked data solution for merging the classifications and geographies and visualise the results in an interactive map application. The statistical production process phases, where the linked data solution can provide additional value, will also be identified. The project will take into account all the relevant standards (e.g. INSPIRE, GSBPM, GSIM, and CSPA).

Both organisations, Statistics Finland and the National Land Survey of Finland, are public sector INSPIRE data providers and their data to be published within the range of INSPIRE is partially overlapping (case Administrative units and Statistical units). Statistics Finland publishes geographies of the most common areal classifications as open data, using OGC (Open Geospatial Consortium) standardised web services (WMS/WFS). The base geospatial data have their origin in the National Land Survey of Finland.

One benefit of the project is that for Statistics Finland the project provides a way to implement the INSPIRE directive in the organisation and at national level, by taking into account the organisations own needs for URI’s and the identifier system when it comes to areal classifications and geographies.

Another benefit of the project is that the INSPIRE data published by the National Land Survey of Finland will be connected to statistical areal classifications through a linked data solution that takes into account both statistical standards and geographical standards.

The third major benefit for INSPIRE implementation is increasing the use of a national URI redirection service required to assure persistence of URI's and hosted by the National Land Survey of Finland. Both organisations will also establish their own URI services to provide data in machine-readable formats.

The expected benefits from the common data production process is less overlapping of processes in two organisations and more fluent access to the data for customers.

The presentation will cover the action plans in the project and results of the project up to that day.

Categories

Topic Area:  [2.1] National approaches and strategies
Abstract Type:  Oral Presentation

Additional Fields

 
Academic:   No
 
Data Provider:   Yes
 
Data User:   Yes
 
INSPIRE Implementer (IT):   Yes
 
INSPIRE newbies:   No
 
Policy Officers:   No
 
Public Administration (MS/Regional/Local):   Yes
 
Thematic specialists:   No

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