Integration, quality assurance and usage of geospatial data with semantic tools

The classifier was tuned using the learning sample based on the SVM approach (Support Vector Machines), and the test sample was thereby classified. Objects of the

In this demo we present our OBDA solution for Siemens Energy [5] which we de- velop as a part of the O PTIQUE project [3, 4] The demo will focus on three aspects of the solution:

In the event of an integrated coverage survey with two survey populations, the survey population with the fewest expected number of people per household should be used in the

Accordingly, we propose a Data Quality Manager as a framework to deal with data inconsistencies and lack of quality due to different sources; presenting a continu- ous process of

For each metric we created two SPIN rules: one that examines the context around observations described using only SSN; the other uses subject provenance to assess quality based on

The substantial improvement of data availability will enable cross- data set analysis and visualisation, in which the integration of geospatial data from different sources

In our implementation we offer these Mementos (i.e., prior ver- sions) with explicit URIs in different ways: (i) we provide access to the original dataset descriptions retrieved

This new source of information enables the collection of rich data sets that often outperform the data collected by private companies and government agencies in terms of the amount