Abstract
Authors cite other work in many types of documents. Notable among these are research papers and web pages. Recently, several researchers have proposed using the text surrounding citations (references) as a means of automatically indexing documents for search engines, claiming that this technique is superior to indexing documents based on their content. While we ourselves have made this claim, we acknowledge that little empirical data has been presented to support it. Therefore, in the limited space available we present a terse overview of a study comparing reference to content as bases for indexing documents. This study indicates that reference identifies the value of documents more accurately and with a greater diversity of language than content.
| Original language | English (US) |
|---|---|
| Pages | 180-181 |
| Number of pages | 2 |
| State | Published - Jan 1 2002 |
| Event | 2002 International Conference on intelligent User Interfaces (IUI 02) - San Francisca, CA, United States Duration: Jan 13 2002 → Jan 16 2002 |
Other
| Other | 2002 International Conference on intelligent User Interfaces (IUI 02) |
|---|---|
| Country | United States |
| City | San Francisca, CA |
| Period | 1/13/02 → 1/16/02 |
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Keywords
- Indexing precision
- Reference-based indexing
- Term diversity
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
Cite this
}
Automatically indexing documents : Content vs. Reference. / Bradshaw, Shannon; Hammond, Kristian J.
2002. 180-181 Paper presented at 2002 International Conference on intelligent User Interfaces (IUI 02), San Francisca, CA, United States.Research output: Contribution to conference › Paper
TY - CONF
T1 - Automatically indexing documents
T2 - Content vs. Reference
AU - Bradshaw, Shannon
AU - Hammond, Kristian J
PY - 2002/1/1
Y1 - 2002/1/1
N2 - Authors cite other work in many types of documents. Notable among these are research papers and web pages. Recently, several researchers have proposed using the text surrounding citations (references) as a means of automatically indexing documents for search engines, claiming that this technique is superior to indexing documents based on their content. While we ourselves have made this claim, we acknowledge that little empirical data has been presented to support it. Therefore, in the limited space available we present a terse overview of a study comparing reference to content as bases for indexing documents. This study indicates that reference identifies the value of documents more accurately and with a greater diversity of language than content.
AB - Authors cite other work in many types of documents. Notable among these are research papers and web pages. Recently, several researchers have proposed using the text surrounding citations (references) as a means of automatically indexing documents for search engines, claiming that this technique is superior to indexing documents based on their content. While we ourselves have made this claim, we acknowledge that little empirical data has been presented to support it. Therefore, in the limited space available we present a terse overview of a study comparing reference to content as bases for indexing documents. This study indicates that reference identifies the value of documents more accurately and with a greater diversity of language than content.
KW - Indexing precision
KW - Reference-based indexing
KW - Term diversity
UR - http://www.scopus.com/inward/record.url?scp=0036385653&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0036385653&partnerID=8YFLogxK
M3 - Paper
AN - SCOPUS:0036385653
SP - 180
EP - 181
ER -