Show simple item record

dc.contributor.authorHeckner, Markus
dc.contributor.authorMühlbacher, Susanne
dc.contributor.authorWolff, Christian
dc.date.accessioned2007-10-20T00:00:01Z
dc.date.available2010-06-18T23:26:15Z
dc.date.issued2007-09en_US
dc.date.submitted2007-10-20en_US
dc.identifier.citationTagging tagging. Analysing user keywords in scientific bibliography management systems. 2007-09,en_US
dc.identifier.urihttp://hdl.handle.net/10150/105484
dc.descriptionThe presentation was held at the 2007 NKOS workshop in Budapest, Hungary.en_US
dc.description.abstractRecently, a growing amount of systems that allow content annotation by their users (= tagging) has been created. Simultaneously a debate on the pros and cons of allowing users to add personal keywords to digital content has arisen. A stable category model for social tags on a linguistic as well as functional level is presented, based on data gathered from the scientific bibliography management tool connotea. Also some initial findings of a comparative analysis of social tags and author keywords are reported.
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.subjectKnowledge Organizationen_US
dc.titleTagging tagging. Analysing user keywords in scientific bibliography management systems.en_US
dc.typePresentationen_US
refterms.dateFOA2018-05-17T20:17:09Z
html.description.abstractRecently, a growing amount of systems that allow content annotation by their users (= tagging) has been created. Simultaneously a debate on the pros and cons of allowing users to add personal keywords to digital content has arisen. A stable category model for social tags on a linguistic as well as functional level is presented, based on data gathered from the scientific bibliography management tool connotea. Also some initial findings of a comparative analysis of social tags and author keywords are reported.


Files in this item

Thumbnail
Name:
tagging_tagging_NKOS_07.pdf
Size:
689.6Kb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record