(with apologies for cross-posting)
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IEEE Internet Computing
Special Issue on Smart Cities
http://www.computer.org/portal/web/computingnow/iccfp6
---
Smart cities are currently the investigation focus of a broad research
[Apologies for cross-posting]
The LAK Dataset (see http://www.solaresearch.org/resources/lak-dataset/)
provides access to structured metadata and full-text from research
publications in the field of learning analytics.
Beyond merely publishing the data, we are actively encouraging its
Hey Vishal,
knowledge of structure can be useful but is not necessary. Probably
the most common pitfall is not to check if named graphs were used.
Your can try this query that handles both cases (default and named graphs):
PREFIX rdf: http://www.w3.org/1999/02/22-rdf-syntax-ns#
PREFIX rdfs:
You can start querying for stuff, but I am guessing that what you mean is how
can you find out what is in the store without starting to query.
Well if you are lucky:
There is a sitemap.xml, which points you at a voiD document that tells you some
of what you want to know, such as what the topics
Hi all,
As one of the persons in charge of the dataset that Vishal has pointed out
to, and responding to Hugh's comment, you will actually find a description
of this specific dataset at: http://datahub.io/dataset/culturalinkeddata
In fact, according to our own methodological guidelines for
On 12/19/12 1:28 PM, Vishal Sinha wrote:
There are many public SPARQL endpoints available.
For example the cultural linked data:
http://cultura.linkeddata.es/sparql
How can I know what type of information is available in this dataset.
Based on what assumption I can query it?
Do I need to know
Respect!
On 19 Dec 2012, at 19:42, Oscar Corcho ocor...@fi.upm.es
wrote:
Hi all,
As one of the persons in charge of the dataset that Vishal has pointed out
to, and responding to Hugh's comment, you will actually find a description
of this specific dataset at:
Hi all
On 19/12/2012 20:42, Oscar Corcho wrote:
Hi all,
As one of the persons in charge of the dataset that Vishal has pointed out
to, and responding to Hugh's comment, you will actually find a description
of this specific dataset at: http://datahub.io/dataset/culturalinkeddata
In fact,
Generally speaking its yet another big gaping unsolved problem.
Our stab at it one is to do big data Hadoop based summarization and
then use the summary to understand how to query it.
E.g. this unpublished link below exposes the Sindice.com data graph
summary containing a summary of 20-30