Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

A comparison of MeSH terms and CiteULike social tags as metadata for the same items

Lee, DH and Schleyer, T (2010) A comparison of MeSH terms and CiteULike social tags as metadata for the same items. In: UNSPECIFIED UNSPECIFIED, 445 - 448. ISBN 9781450300308

[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

Abstract

In this paper, we examine the degree of difference between two types of metadata for biomedical articles generated by different groups of people. The first type of metadata is social tags, which are assigned to articles by their readers using uncontrolled vocabulary. The second type is index terms, which are assigned by professionally trained indexers and domain experts using a controlled vocabulary. When the two kinds of metadata are assigned to the same item, we may expect that they overlap to a large extent and could substitute for one another. In this study, we compared social tags and index terms for a set of papers that appear both in CiteULike and MEDLINE, and assessed their differences. Due to the idiosyncratic nature of social tags, we preprocessed the tags through normalization, stop-word removal, stemming and spell-checking. Our results show that social tags and Medical Subject Heading (MeSH) index have little overlap and embody largely heterogeneous understanding of items. © 2010 ACM.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Book Section
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Lee, DHhyl12@pitt.eduHYL12
Schleyer, Ttitus@pitt.eduTITUS0000-0003-1829-971X
Date: 1 December 2010
Date Type: Publication
Journal or Publication Title: IHI'10 - Proceedings of the 1st ACM International Health Informatics Symposium
Page Range: 445 - 448
Event Type: Conference
DOI or Unique Handle: 10.1145/1882992.1883060
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9781450300308
Date Deposited: 25 Apr 2012 19:48
Last Modified: 05 Feb 2019 07:55
URI: http://d-scholarship.pitt.edu/id/eprint/11963

Metrics

Monthly Views for the past 3 years

Plum Analytics

Altmetric.com


Actions (login required)

View Item View Item