About the paper
| Title |
Transformation and Analysis of Spatio-Temporal Statistical Linked Open Data with ESTA-LD |
| Book |
ICIST 2016 Proceedings |
| Pages |
142-147 |
| Abstract: Recent open data initiatives have contributed to
opening of non-sensitive governmental data, thereby
accelerating the growth of the LOD cloud and the open data
space in general. A lot of this data is statistical in nature and
refers to different geographical regions (or countries), as
well as various performance indicators and their evolution
through time. Publishing such information as Linked Data
provides many opportunities in terms of data
aggregation/integration and creation of information
mashups. However, due to Linked Data being relatively new
field, currently there is a lack of tools that enable
exploration and analysis of linked geospatial statistical
datasets. This paper presents ESTA-LD (Exploratory
Spatio-Temporal Analysis), a tool that enables exploration
and visualization of statistical data in linked data format,
with an emphasis on spatial and temporal dimensions, thus
allowing to visualize how different regions compare against
each other, as well as how they evolved through time.
Additionally, the paper discusses best practices for modeling
spatial and temporal dimensions so that they conform to the
established standards for representing space and time in
Linked Data format. |
Full citation
Mijović, V.,
Janev, V.,
Paunović, D.
Transformation and Analysis of Spatio-Temporal Statistical Linked Open Data with ESTA-LD. In:
Konjović, Z.,
Zdravković, M.,
Trajanović, M.
(Eds.)
ICIST 2016 Proceedings, pp.142-147, 2016
Keywords
Open and Linked Data
Data Visualization