Presenting my research questions to the Open Data Manchester Visualisation Meeting.

1. Semi-­‐Automa+c
Visual
Explora+on
of
Linked
Data
Le;eris
Tatakis
Le;eris.tatakis@manchester.ac.uk
@Ltatakis

2. Overview
of
Problem
hEp://blog.datalicious.com/data-­‐visualisa+on/phone-­‐data-­‐malte-­‐spitz-­‐die-­‐zeit-­‐germany/
mapping
What
we
have
Where
we
want
to
be

3. Overview
Example
• Open
Data
Manchester
Linked
Data
visualisa+ons.
• You
need
to
specify:
SPARQL
Query
and
Visualisa+on.
• Requires:
+me,
effort
and
technical
knowledge.
Heat
map
of
fires
Street
light
issues
hEps://github.com/GMDSP-­‐Linked-­‐Data/PhaseTwo/tree/master/Visualisa+ons

4. Research
Goals
• Our
aim
is
to
support
developers
who
provide
tools
for
end
users.
• Allow
the
developers
to
explore,
evaluate
and
understand
underlying
data.
• “I
have
all
this
data
but
I
don’t
know
what
informa+on
is
in
here!”
• Allow
developers
to
provide
their
feedback
during
the
processing
of
the
data
in
an
semi-­‐
automa+c
fashion.

5. Cycle
of
Visual
Analysis
Cycle
of
visual
analysis,
BioVis
2015,
Tableau

6. Research
Ques+ons
• What
are
the
key
characteris+cs
that
affect
the
choice
of
data
visualisa+ons?
• Which
aspects
of
the
user's
task
must
we
understand
to
provide
an
appropriate
selec+on
of
data
visualisa+ons?
• How
do
we
map
the
characteris+cs
of
the
data
sources
to
the
characteris+cs
of
exis+ng
visualisa+ons.

7. ODM
Community
• Do
you
have
Linked
Data
and
have
no
idea
how
to
understand/explore
it?
• I
would
like
to
understand
the
process
and
the
way
you
work
with
the
data.
• How
can
we
improve
it?
• Are
visualisa+ons
always
appropriate?
• Collabora+ng
with
the
community.
• Data
• Comments
• Insights
• Ideas
• Interested
/
Curious
• Solved
it?

8. Thank
you!
@LTatakis
le;eris.tatakis@manchester.ac.uk