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Fwd: Survey on reusing vocabularies

From: Schaible, Johann <Johann.Schaible@gesis.org>
Date: Tue, 17 Dec 2013 12:53:38 +0000
To: "public-lod@w3.org" <public-lod@w3.org>
CC: "semantic-web@w3.org" <semantic-web@w3.org>
Message-ID: <6EF1EA9D-8779-47AE-85F4-086A832AE6F5@gesis.org>
Hi all,

one last reminder: please participate in my survey and help me to investigate the typical strategies for vocabulary reuse when modeling LOD. It takes only 10 minutes and is available here: https://www.unipark.de/uc/GESIS-WTS/f0c5/

Thanks to everyone, who has already participated. I appreciate it very much :-)

Cheers and happy winter/christmas holidays,
Wanja



Anfang der weitergeleiteten E-Mail:

Von: "Schaible, Johann" <Johann.Schaible@gesis.org<mailto:Johann.Schaible@gesis.org>>
Betreff: Survey on reusing vocabularies
Datum: 15. November 2013 15:01:18 MEZ
An: "public-lod@w3.org<mailto:public-lod@w3.org>" <public-lod@w3.org<mailto:public-lod@w3.org>>

Hi all,

I am investigating the typical strategies for reusing vocabularies when modeling Linked Open Data. Given that many of you have expertise in the field of publishing and consuming LOD, I would like to ask you, if you could help me with my research by filling out an online survey (approximately 10 minutes).

Link to the survey: https://www.unipark.de/uc/GESIS-WTS/f0c5/

Background:
I am a research associate at the GESIS Leibniz-Institute for the Social Sciences in Cologne, Germany, and my Ph.D. thesis is about a recommender system that supports a Linked Data engineer in reusing vocabularies by recommending appropriate classes and properties from actively used vocabularies in the LOD cloud. The survey is a major part of identifying relevant requirements for such a support system.

Notice, we do not collect any sensitive personal data.  All survey participants will be treated anonymously, and the results will be published after thorough analysis.

Thank you and best regards,
Wanja


------------------------------------------------------------
Johann Wanja Schaible
Research Associate
GESIS  Leibniz-Institute for the Social Sciences
Department: Knowledge Technologies for the Social Sciences
Phone: +49-221-47694-517
e-mail: johann.schaible@gesis.org<mailto:johann.schaible@gesis.org>
Received on Tuesday, 17 December 2013 12:54:09 UTC

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