http://www.springerlink.com/content/g344345176652757/ Abstract
Are we in the semantic web/linked data community effectively
attempting to make possible a new literacy - one of data rather than
document analysis? By opening up data beyond the now familiar hand
crafted Web 2 mash up of data about X plus geography, what are we
trying to do, really? Is the goal at least in part to enable net
citizens rather than only geeks the ability to pick up, explore,
blend, interogate and represent data sources so that we may draw our
own statistically informed conclusions about information, and thereby
build new knowledge in ways not readily possible before without access
to these data seas? If we want citizens rather than just scientists or
statisticians or journalists for that matter to be able to pour over
data and ask statistically sophisticated questions of comparison and
contrast betewen times, places and people, does that mission re-order
our research priorities at all? If the goal is to enpower citizens to
be able to make use of data, what do we need to make this vision real
beyond attending to Tim Berners-Lee’s call to "free your data"? The
purpose of this talk therefore will be to look at key ineraction
issues around defining and delivering a useful, usable *data
explorotron* for citizens. In particular, we’ll consider who is a
"citizen user" and what access to and tools for linked data sense
making means in this case. From that perspective, we’ll consider
research issues around discovery, exploration, interrogation and
representation of data for not only a single wild data source but
especially for multiple wild heterogeneous data sources. I hope this
talk may help frame some stepping stones towards useful and usable
interaction with linked data, and look forward to input from the
community to refine such a new literacy agenda further.
--
-
Locked
