[Solomonov Seminar] 186. Solomonov seminar

[Marko Grobelnik]

Vabim vas na 186. Solomonov seminar, ki bo v torek 10. aprila,
!!!IZJEMOMA!!! ob 14:30 uri v Oranzni predavalnici IJS (sejna soba E8). 
Posnetke preteklih seminarjev najdete na naslovu http://videolectures.net/solomon/

Tokrat bomo spet gostili naso gostjo (ki je na sobotnem letu pri nas),
ki bo govorila o tagiranju oz. oznackovanju podatkov, ki je postalo 
popularno v zadnjem obdobju in ki je ena karakteristicnih zadev za "Web 2.0".

Samo mimogrede - za web 2.0 se verjetno vsi strinjamo, da je trenutni "hype" - 
no, ta hype pa je precej velik - hype dandanes lahko merimo tudi z 
"Google Trends" portalom, kjer primerjamo popularnost dolocenih povprasevanj 
na Googlu - na naslednjem URLju primerjamo tri popvrasevanja:
"semantic web", "web 2.0" in "Slovenia" - iz grafov lahko vidimo, da je "web 2.0"
bolj pogosto povprasevanje kot "Slovenia" in precej bolj kot starejsi brat "semantic web".
http://www.google.com/trends?q=%22semantic+web%22%2C+%22web+2.0%22%2C+%22Slovenia%22&ctab=0&geo=all&date=all

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Bettina Berendt, Humboldt University Berlin
      Tags are not metadata, but ``just more content'' -- to some people

The authoring of tags -- unlike the authoring of traditional metadata -- is highly 
popular among users. This harbours unprecedented opportunities for organizing 
content. However, tags are still poorly understood. What do they ``mean'', 
in what senses are they similar to or different from metadata?
Different tags support different communities, but how exactly 
do they reflect the plurality of opinions,what is the relation to individual 
differences in authoring and reading? In this paper, we offer a definition and 
empirical evidence for the claim that ``tags are not metadata, but just more content''.
The analysis rests on a multi-annotator classification of a blog corpus using 
the WordNet domain labels system (WND), the development of a system 
of text-classification methods using WordNet and WND, and a quantitative 
and qualitative comparative analysis of these classifications. We argue 
that the notion of a ``gold standard'' may be meaningless in social media, 
and we outline possible consequences for labelling and search-engine development.