(We apologize for multiples copies)
We are pleased to announce the release of the beta version of
Databugger, a test-driven data debugging framework for the Web of Data.
Databugger is inspired by test-driven development and can run
automatically generated (based on a schema) and manually generated test
cases against an endpoint. All test cases are executed as SPARQL queries
using a pattern-based transformation approach.
We provide a reusable set of 32,293 SPARQL automatically generated
test-cases [1] for 297 (out of 361) LOV vocabularies [2].
For more information on our methodology please refer to our report [3]
or directly test your dataset [4] (note that Databugger relies on SPARQL
1.1 property paths, thus a triple-store like Virtuoso 7 will be able to
run all test cases).
A simple call for automated-only testing is:
$ bin/databugger -dhttp://example <http://example/>.com
-ehttp://example.com/sparql
<http://example.com/sparql>-ghttp://example.com/graph
<http://example.com/graph>-s foaf,dc,dcterms,skos
You can use any vocabulary defined in LOV and the framework will
automatically dereference, download and use it. For more advanced usages
consult to the project's Github page [4].
The next version of Databugger will provide a GUI for browsing existing
test cases and generating manual test cases. We also plan to make it
interoperable with recent work from DBpedia GSoC [5].
Please note that this is a work in progress and any feedback is highly
appreciated. We gratefully acknowledge the support of the DBpedia [6]
community and AKSW research group [7].
On behalf of the Databugger team,
Dimitris Kontokostas
[1]https://github.com/AKSW/Databugger/tree/master/data/archive/WWW_2014
[2] http://lov.okfn.org
[3]http://svn.aksw.org/papers/2014/WWW_Databugger/public.pdf
[4]https://github.com/AKSW/Databugger
[5]http://dbpedia.med.auth.gr/metamin/public/tests/item/dbt:20130617/all
(demo)
[6] http://dbpedia.org
[7]
http://aksw.org<http://dbpedia.med.auth.gr/metamin/public/tests/item/dbt:20130617/all>
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