The relatively weak uptake of spatial error handling capabilities bycommercial GIS companies and users can in part be attributed to therelatively low availability and high costs of spatial data qualityinformation. Based on the well established artificial intelligencetechnique of induction, this paper charts the development of anautomated quality capture tool. By learning from example, the tool makesvery efficient use of scarce spatial data quality information, sohelping to minimise the cost and maximise availability of data quality.The example application of the tool to a telecommunications legacy datacapture project indicates the practicality and potential value of theapproach.
Spatial Cognition and Computation – Springer Journals
Published: Oct 16, 2004
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
All the latest content is available, no embargo periods.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud