Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/28071
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Author(s): Nack, Frank
Scherp, Ansgar
Neuhaus, Chantal
Contact Email: ansgar.scherp@stir.ac.uk
Title: Semiotic tagging: Enriching the semantics of tags for improved image retrieval
Citation: Nack F, Scherp A & Neuhaus C (2014) Semiotic tagging: Enriching the semantics of tags for improved image retrieval. In: Proceedings of 2014 IEEE International Conference on Semantic Computing. 2014 IEEE International Conference on Semantic Computing, 16.06.2014-18.06.2014. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers, pp. 7-14. https://doi.org/10.1109/ICSC.2014.10
Issue Date: 25-Aug-2014
Conference Name: 2014 IEEE International Conference on Semantic Computing
Conference Dates: 2014-06-16 - 2014-06-18
Conference Location: Piscataway, NJ, USA
Abstract: SemioTag is an approach towards tagging that utilizes the semiotic sign categories icon, index, and symbol as classification structures to be used by users during the annotation and search of images within social media-oriented repositories. We compared the influence of this approach on the tagging and querying behaviour of users, with respect to usability, efficiency, and user experience, between the standard Flickr tagging and querying method and the one used in SemioTag. Our results show that semiotic tagging is considered more tedious and takes about twice the time as standard tagging. However, subjects produced a larger number of tags with semiotic tagging. Finally, querying with semiotic tags is not considered more cumbersome than querying using standard tags. Subjects stated that semiotic-based search provides more reasonable results than search based on standard tagging because it provided more control on the query. Semiotic search turned out to be faster. Overall, the findings clearly indicate to further investigate in the direction of semiotic tagging. We anticipate application of semiotics for particular types of human-centered IR such as explorative search.
Status: VoR - Version of Record
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.

Files in This Item:
File Description SizeFormat 
Nack et al 2014.pdfFulltext - Published Version400.15 kBAdobe PDFUnder Permanent Embargo    Request a copy

Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependent on the depositor still being contactable at their original email address.



This item is protected by original copyright



Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.