Track: Digital Media: Content and Communication
Minitrack: Classification of Digital Documents

This minitrack will elicit papers on classification of digital documents. Classification in general has three aims: first, it makes useful aggregations of items that are similar along some dimension (e.g., topic or genre). Second, classification affords a context that serves as a point of reference for each of the members of the class, and this allows exploration and browsing within the class and in closely related classes without having to specify in advance what is needed. Third, classification provides an explicit means of distinguishing items one from the other. This can be an absolute yes/no distinction or a relative distinction that measures the distance of an item from some prototypical ideal.

Topics and research areas include, but are not limited to:
* The role of classification of digital documents in knowledge-management and information-management systems in organizational and societal contexts
* Genre of digital documents viewed from a classification perspective
* The classification of digital documents as an element in information retrieval
* Classification of non-text and multi-media digital documents
* Analyses of classification systems emerging in digital media, e.g. the Web, mobile communication technologies, e-mail, instant messaging and multi-media communication environments
* Bottom up classifications such as folksonomies and tag clouds
* Issues related to transformation of classifications of digital media from one medium to another
* Understanding of change and socio-organizational enactment processes of classification of digital documents
* Classification for categorization/routing/filtering of text documents, such as spam and deception detection
* Theoretical and methodological elaborations of classification theory for enhancing research and/or practice of utilizing digital media

Co-chairs:
Barbara Kwasnik (Primary Contact)
School of Information Studies
Syracuse University
332 Hinds HallSyracuse, NY 13244-4100 USA
Phone: +1-315- 443-4547
Email: bkwasnik@syr.edu
URL: http://ischool.syr.edu/facstaff/facultymember.asp?id=53

Kevin Crowston
School of Information Studies
Syracuse University
348 Hinds HallSyracuse, NY 13244-4100 USA
Phone: +1-315-443-1676
Email: crowston@syr.edu
URL: http://crowston.syr.edu/