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Using Free and Open Source GIS
to Automatically Create
Standards-Based Spatial
Metadata in Academia
Claire Ellul,Nart Tamash,Feng Xian,
John Stuiver,Patrick Rickles
DISCLAIMER
Metadata
Data about
the data
Importance
Boring
Lots of
Fields
Maintenance
Automation
Many Easily Done
Keywords and
Language
Open Source
Software
Metadata
Spatial
Datasets
Tight Coupling
(Triggers)
PostGIS 2.0 Database
PostreSQL / PostGIS Database
(Nart Tamash)
QGIS Plug-in
(Feng Xian)
Identifying
Language
(QGIS python
Plug-in using
the ‘langid’
library)
For metadata:
concatenate TITLE,
ABSTRACT,LINEAGE
Pass the resulting text
into the ‘langid’ code
Store result in the
metadata table in the
database
For dataset: take the first
10,000 characters of text
Identifying
Keywords
(PL/pgSQL
Trigger)
Identify Text Fields in
the Data Set
Split any text into single
words using the space
character as delimiter
Create a single column
list of all the words using
the SQL UNION query
Use an SQL GROUP BY
query to identify the 10
most frequently used
words
Various Datasets
Different
Countries
Results
Produced Metadata Dataset
Dataset Metadata Information
Common
Words
Character
Set
18 out of 20 Mandatory INSPIRE
Fields
Metadata Language Successfully
Detected
Mixed Results with Keywords
and Dataset Language
Further
Work
Multiplatform
Web Accessible
Understandable
To All

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