[ANN] Sparklis - new version

Hi everyone,

I am pleased to announce a new version of Sparklis,
a SPARQL endpoint explorer that combines a query
builder in natural language, and faceted search-like
interaction.

http://www.irisa.fr/LIS/ferre/sparklis/

It introduces a few significant features that extend its
applicability to more datasets and users.

* SPARQL endpoints that do not support CORS (Cross-Origin Resource
   Sharing) can now be explored in Sparklis through a proxy.
   Note that about half of endpoints do not support CORS.
   If you tried Sparklis on an endpoint and got a failure, it is
   worth trying it again!

* The display of entities and concepts can be customized in the
   configuration panel by specifying a property and an optional
   language tag.

* The whole interface is now available in French, in addition to
   English, including the verbalization of queries (open Configuration
   panel).
   Your help is welcome to add in more languages! Just contact me.

======================================================================

Sparklis is a Web user interface that works on top of SPARQL
endpoints. It is not tied to a particular endpoint, and works with any
endpoint provided that it grants public access.

http://www.irisa.fr/LIS/ferre/sparklis/

The principle of Sparklis is to let users see and explore data and
build expressive queries in natural language at the same time. The
SPARQL query is only visible at the bottom of the page, and is only
for curious expert users. Users don't need to know the RDFS schema,
and discover it on the fly. They don't need to write anything, apart
from filter values (e.g., matching keywords), which ensures that none
of lexical, syntactic, and schema errors are introduced.

Sparklis covers a large fragment of SPARQL: graph patterns, optional,
union, negation, ordering, aggregation, main filters (string matching,
inequalities and intervals, language or datatype).

======================================================================

Enjoy, and feedbacks are welcome! Several improvements and features
were added after user suggestions.

Sébastien Ferré
-----
Associate Professor
Team LIS
Department of Data and Knowledge Management
IRISA, Univ. Rennes 1
URL: http://www.irisa.fr/LIS/ferre/

Received on Monday, 15 December 2014 08:56:18 UTC