[sigCR] Classification Research Workshop

[Grant Campbell]

On Saturday November 2, join us for the
Classification Research Workshop, entitled: 

 
 
“Big Data, Linked Data:
Classification Research at the Junction.”
 

 
 
Workshop Details:
http://www.asis.org/asist2013/seminars_workshops_SIG_CR.html
 
Registration Information:
http://www.asis.org/asist2013/register.html
 

 
 
While
big data and linked data are often considered separately,
classification research stands at
 
the
juncture between these two approaches, and can therefore provide a
context in which
 
researchers
in each domain can benefit from the insights of the other. This
workshop will put both young and established researchers in
classification theory and practice to work on exploring this
juncture, on topics ranging from Twitter to gene ontology, and from
WorldCat to the Semantic Web.
 

 
 
This workshop forms part of the annual
meeting of the ASIS&T Annual Meeting at Le Centre Sheraton,
Montreal, Quebec, Canada.
 

 
 
List of Presentations:
 

 
 
Rick Szostak, University of Alberta
 
Classification, Ontology and the
Semantic Web
 

 
 
Shuheng Wu, Besiki Stvilia, Florida
State University
 
Exploring Development and Maintenance
Practices in Gene Ontology
 

 
 
Tatiana Lukoianova, Victoria Rubin,
Western University
 
Is Big Data Objective or Truthful?
 

 
 
Rebecca Green, Michael Panzer, OCLC
 
The Interplay of Big Data, Worldcat and
Dewey
 

 
 
R. P. Smiraglia, University of
Wisconsin, Milwaukee
 
Big Classification: Using the Empirical
Power of Classification Interaction
 

 
 
Kwan Yi, Eastern Kentucky University
 
A Semantic Similarity Approach for
Linking Tweet Messages to Library of Congress Subject Headings Using
Linked Resources: A Pilot Study
 

 
 
Jane Greenberg, University of North
Carolina, Chapel Hill
 
Metadata Capital via a Linked Data HIVE
 

 
 
Patrick Keilty and Periklis Andritsos,
University of Toronto
 
Level-Wise Exploration of Linked and
Big Data Guided by Subject Classification
 

 
 
Inkyung Choi and Hur-Yi Lee, University
of Wisconsin, Milwaukee
 
Toward Social Contextualization of Big
Data and Linked Data
 

 
 
Ali Shiri, University of Alberta
 
Linked Data Meets Big Data: a Knowledge
Organization Systems Perspective
 

 
 
Lynne C. Howarth, University of Toronto
 
Warrant as Theoretical Vocabulary for
Reconciling Big Data and Linked Data
 

 
 

 



--
------------------- 
D. Grant Campbell
Associate Professor
Faculty of Information and Media Studies
University of Western Ontario
London, Ontario
N6A 5B7
519-661-2111 ext.88483