Open Projector Open Data Manchester Visualisation Meeting

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This document discusses semi-automatic visual exploration of linked data. The research aims to support developers in exploring, evaluating, and understanding underlying data by allowing them to provide feedback during data processing in a semi-automatic fashion. Key questions include how to map data characteristics to appropriate visualizations and understand user tasks to select visualizations. The research seeks community input on improving understanding and exploration of linked data.

Technology

Semi-‐Automa+c
Visual

Explora+on
of
Linked
Data

Le;eris
Tatakis

Le;eris.tatakis@manchester.ac.uk

@Ltatakis

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

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

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.

Cycle
of
Visual
Analysis

Cycle
of
visual
analysis,
BioVis
2015,
Tableau

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.

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?

Thank
you!

@LTatakis

le;eris.tatakis@manchester.ac.uk

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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

Open Projector Open Data Manchester Visualisation Meeting

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