Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM'08 |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 203-212 |
| Number of pages | 10 |
| ISBN (print) | 9781595939913 |
| Publication status | Published - 26 Oct 2008 |
| Event | 17th ACM Conference on Information and Knowledge Management, CIKM'08 - Napa Valley, CA, United States Duration: 26 Oct 2008 → 30 Oct 2008 |
Publication series
| Name | International Conference on Information and Knowledge Management, Proceedings |
|---|
Abstract
Collaborative tagging has become an increasingly popular means for sharing and organizingWeb resources, leading to a huge amount of user generated metadata. These tags represent quite a few different aspects of the resources they describe and it is not obvious whether and how these tags or subsets of them can be used for search. This paper is the first to present an in-depth study of tagging behavior for very different kinds of resources and systems - Web pages (Del.icio.us), music (Last.fm), and images (Flickr) - and compares the results with anchor text characteristics. We analyze and classify sample tags from these systems, to get an insight into what kinds of tags are used for different resources, and provide statistics on tag distributions in all three tagging environments. Since even relevant tags may not add new information to the search procedure, we also check overlap of tags with content, with metadata assigned by experts and from other sources. We discuss the potential of different kinds of tags for improving search, comparing them with user queries posted to search engines as well as through a user survey. The results are promising and provide more insight into both the use of different kinds of tags for improving search and possible extensions of tagging systems to support the creation of potentially search-relevant tags.
Keywords
- Collaborative tagging, Query classification, Tag classification, Tag search, Tagging system analysis and comparison
ASJC Scopus subject areas
- Decision Sciences(all)
- General Decision Sciences
- Business, Management and Accounting(all)
- General Business,Management and Accounting
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Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM'08. Association for Computing Machinery (ACM), 2008. p. 203-212 (International Conference on Information and Knowledge Management, Proceedings).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Can all tags be used for search?
AU - Bischoff, Kerstin
AU - Firan, Claudiu S.
AU - Nejdl, Wolfgang
AU - Paiu, Raluca
PY - 2008/10/26
Y1 - 2008/10/26
N2 - Collaborative tagging has become an increasingly popular means for sharing and organizingWeb resources, leading to a huge amount of user generated metadata. These tags represent quite a few different aspects of the resources they describe and it is not obvious whether and how these tags or subsets of them can be used for search. This paper is the first to present an in-depth study of tagging behavior for very different kinds of resources and systems - Web pages (Del.icio.us), music (Last.fm), and images (Flickr) - and compares the results with anchor text characteristics. We analyze and classify sample tags from these systems, to get an insight into what kinds of tags are used for different resources, and provide statistics on tag distributions in all three tagging environments. Since even relevant tags may not add new information to the search procedure, we also check overlap of tags with content, with metadata assigned by experts and from other sources. We discuss the potential of different kinds of tags for improving search, comparing them with user queries posted to search engines as well as through a user survey. The results are promising and provide more insight into both the use of different kinds of tags for improving search and possible extensions of tagging systems to support the creation of potentially search-relevant tags.
AB - Collaborative tagging has become an increasingly popular means for sharing and organizingWeb resources, leading to a huge amount of user generated metadata. These tags represent quite a few different aspects of the resources they describe and it is not obvious whether and how these tags or subsets of them can be used for search. This paper is the first to present an in-depth study of tagging behavior for very different kinds of resources and systems - Web pages (Del.icio.us), music (Last.fm), and images (Flickr) - and compares the results with anchor text characteristics. We analyze and classify sample tags from these systems, to get an insight into what kinds of tags are used for different resources, and provide statistics on tag distributions in all three tagging environments. Since even relevant tags may not add new information to the search procedure, we also check overlap of tags with content, with metadata assigned by experts and from other sources. We discuss the potential of different kinds of tags for improving search, comparing them with user queries posted to search engines as well as through a user survey. The results are promising and provide more insight into both the use of different kinds of tags for improving search and possible extensions of tagging systems to support the creation of potentially search-relevant tags.
KW - Collaborative tagging
KW - Query classification
KW - Tag classification
KW - Tag search
KW - Tagging system analysis and comparison
UR - http://www.scopus.com/inward/record.url?scp=70349264135&partnerID=8YFLogxK
U2 - 10.1145/1458082.1458112
DO - 10.1145/1458082.1458112
M3 - Conference contribution
AN - SCOPUS:70349264135
SN - 9781595939913
T3 - International Conference on Information and Knowledge Management, Proceedings
SP - 203
EP - 212
BT - Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM'08
PB - Association for Computing Machinery (ACM)
T2 - 17th ACM Conference on Information and Knowledge Management, CIKM'08
Y2 - 26 October 2008 through 30 October 2008
ER -