Tags are keywords you can use to describe and organize your document collections, for
example photos, videos or bookmarks. Lots of Web platforms use tags for this purpose, most
well-known are Flickr, YouTube and del.icio.us. tagCare lets you to maintain all your tags jointly in one place, which is especially useful if you normally use several of these different platforms.
Many users apply a variety of different tags within different platforms - and finally get lost
among them. For example, it is hard to keep track of consistent spelling variants (e.g. not
using "science_fiction" in one case and "scienceFiction" in the other) or of preferred terms
(e.g. not using "bike" in one case and "bicycle" in the other). Some documents may be tagged
with the general term "dog", others more specifically with "greyhound" or "border_collie".
tagCare will help you to apply some structure to your tagging vocabulary so that you will
more easily navigate through vocabulary choices and use tags more consistently. In tagCare, a
user can assemble all tags which he has used within different systems and may then create his
own vocabulary hierarchy, synonym collections and cross-references to related terms to
establish some lightweight form of controlled vocabulary. This process is also called "tag
gardening". Edited and structured tags will then be used to browse document collections in
other platforms and to directly tag documents out of tagCare.
tagCare is still under development, a first demo version will be available soon and more
features will then be added step by step. tagCare will first support Flickr, Bibsonomy and del.icio.us.
The main supposition of the project is that tags specified by blogs' authors in their blog posts are associated between each other. Our tag spider runs over blogs feeds, gathers the set of tags from each blog post and then combines tag pairs from the set of tags.
Die herkömmliche Suche über Schlüsselbegriffe mit einer nach Relevanz geordneten Trefferliste ist unflexibel. Sie beruht in der Regel auf den Schlüsselbegriffen, die der Entwickler einer Webseite für seine Inhalte festgelegt hat. So könnte beipielsweise der Entwickler einer Webseite zum Thema Obst das Wort ‚Orange' jedoch nicht das Wort 'Apfelsine' in seine Liste der Schlüsselbegriffe aufgenommen haben. Bei einer Suche nach dem Keyword 'Apfelsine' fehlt demnach die entsprechende Seite in der Trefferliste der Suchmaschine.
Mit ETS können nun die Besucher einer Website selber die Schlüsselworte festlegen, die zu dieser Seite passen. Gemeinschaftliches Indexieren oder auch Social Tagging nennt sich dieses Prinzip. Jeder Nutzer kann so zur Verschlagwortung beitragen. Da die Informationsobjekte nun von denjenigen kategorisiert werden, die sie auch benutzen, können bessere Suchergebnisse erzielt werden.
E. Rader, and R. Wash. CSCW '08: Proceedings of the ACM 2008 conference on Computer supported cooperative work, page 239--248. New York, NY, USA, ACM, (2008)
D. Millen, J. Feinberg, and B. Kerr. CHI '06: Proceedings of the SIGCHI conference on Human Factors in computing systems, page 111--120. New York, NY, USA, ACM, (2006)