Ciao Alessio,
thanks for your suggestions about wrong mappings.
I have made some changes based on your list.
That gave me also the opportunity to notice that more than 100 Turkish
infoboxes are mapped to OntologyClass:Unknown :
http://mappings.dbpedia.org/index.php?title=Special:WhatLinksHere/OntologyClass:Unknown
This for sure makes the extraction incorrect.
Unfortunately I do not have the knowledge nor the time to fix all of those.
Should we remove them altogether?
For what regards Airpedia, I think you are working on very interesting
project and I completely second what Christian said.
But while we try our best to transition to a machine-assisted mapping
process, wouldn't it be nice to work on a Javascript mapping editor to
embed into the mappings wiki?
Sometimes it is really hard/boring to go back and forth from one browser
tab to another to check properties, look for classes and from time to time
it is also hard to remember the mappings syntax.
That's why probably sometimes people starts using cut/paste from other
mappings, e.g.
http://mappings.dbpedia.org/index.php/Mapping_sl:Infopolje_Glasbeni_ustvarjalec
which is clearly copied from a Musical infobox (none of the mapped
properties refer to the mapped infobox, while they perfectly suit an
infobox about musicals).
Just my two cents
Andrea
2013/6/15 Christian Bizer <ch...@informatik.uni-mannheim.de>
> Dear Alessio,****
>
> ** **
>
> thank you very much for sending the list of wrong mappings and pointing
> the community to the additional mappings that your project has created.***
> *
>
> ** **
>
> I think using machine learning to generate mapping candidates and having
> them been manually confirmed afterwards has a lot of potential. In an ideal
> world, we would have a mapping tool that generated the candidates and shows
> them together with the data extracted for some example instances to the
> user for confirmation or refinement. ****
>
> ** **
>
> Another area where some association analysis combined with some reasoning
> would clearly help is to maintain the consistency of the mappings in the
> wiki and potentially build a richer version of the DBpedia ontology.****
>
> ** **
>
> We are currently looking for bachelor/master students who want to write a
> thesis about these topics (
> http://dws.informatik.uni-mannheim.de/en/thesis/abschlussarbeitendetails/news/2013/01/25/semi-automatic-evolution-support-for-dbpedia/)
> but were not successful in finding some yet. ****
>
> ** **
>
> Alternatively, we would also be very happy if somebody else from the
> community is quicker than us and implements a mapping assistant tool that
> relies on machine learning to propose mappings or to assess the quality of
> existing mappings and propose refinements. If such a tool would exist, we
> would of course be more than happy to deploy it on the mapping wiki.****
>
> ** **
>
> Until then, people will still need to write mappings the hard way by
> directly editing the source code in the mapping wiki and I thank the
> Airpedia project a lot for providing the mapping editor community with so
> many hints about what still could be done J****
>
> ** **
>
> Cheers,****
>
> ** **
>
> Chris****
>
> ** **
>
> ** **
>
> *Von:* Alessio Palmero Aprosio [mailto:apro...@fbk.eu]
> *Gesendet:* Samstag, 15. Juni 2013 00:38
> *An:* dbpedia-discussion
> *Cc:* Michele Mostarda; Claudio Giuliano
> *Betreff:* [Dbpedia-discussion] Airpedia resources for the mapping sprint*
> ***
>
> ** **
>
> Dear DBpedians,****
>
> we are the team of Airpedia project [1], which aims to enhance the
> classes/properties coverage of DBpedia over Wikipedia using machine
> learning techniques.****
>
>
>
> ****
>
> We read about the “mapping sprint”, therefore we want to bring to your
> attention the resource we are producing concerning DBpedia. We think that
> it can help the community to speed up the mapping process.****
>
>
>
> ****
>
> *Wrong mappings*****
>
> The basic idea of our approach is the use of DBpedia resource as training
> data. For this reason, we have to be sure that the mappings are correct. We
> then implement a cross-language validation to *discover wrong mappings*.
> We found out some obvious errors, that we think may be correct before the
> release of DBpedia 3.9. See attachment for the list of these mappings.****
>
>
>
> ****
>
> *Automatic class mappings*****
>
> In a paper accepted to I-KNOW conference [2], we present a resource
> obtained by *automatically mapping Wikipedia templates in 25 languages*.
> Our approach can replicate the human mappings with high reliability, and
> producing an additional set of mappings not included in the original
> DBpedia. The resource can be downloaded from the resource section [3] of
> the Airpedia website and consists of CSV files with two columns: Wikipedia
> infobox name and DBpedia class.****
>
>
>
> ****
>
> *Automatic properties mappings*****
>
> In a second paper submitted to ISWC conference [4], we focus on the
> problem of automatically mapping infobox attributes to properties into the
> DBpedia ontology for extending the coverage of the existing localised
> versions or building from scratch versions for languages not covered in the
> current version. We report results comparable to the ones obtained by a
> human annotator in term of precision, but our approach leads to a
> significant improvement in recall and speed. Specifically, *we mapped
> 45,978 Wikipedia infobox attributes to DBpedia properties in 14 different
> languages* for which mappings were not available yet. Again, it can be
> downloaded from the resource section [3] of the Airpedia website and
> consists of CSV files with two columns: Wikipedia infobox attribute name
> and DBpedia property.****
>
>
>
> ****
>
> *Enhanced coverage of DBpedia over classes in 31 languages*****
>
> Following the work already presented at ESWC conference [5], we enhance
> the coverage of DBpedia over pages devoid of infobox. *The resource
> contains 10M computed entity types*. It is available in RDF format and
> can be downloaded in the resource section [3] of our website.****
>
>
>
> ****
>
> *Integration in Italian DBpedia*****
>
> The Italian DBpedia team has been the firts adopter of our dataset. Next
> week a new version of the SPARQL endpoint containing our statements will be
> released. Stay tuned!****
>
>
>
> ****
>
> Cheers!****
>
> Alessio****
>
>
>
>
> ****
>
> [1] http://www.airpedia.org****
>
> [2] http://i-know.tugraz.at/****
>
> [3] http://www.airpedia.org/download/****
>
> [4] http://iswc2013.semanticweb.org/****
>
> [5] http://2013.eswc-conferences.org/****
>
>
>
> ****
>
>
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