Abstract
Indexing remains one of the most popular tools provided by digital libraries to help users identify and understand the characteristics of the information they need. Despite extensive studies of the problem of automatic index construction for text-based digital libraries, the construction of multimedia digital libraries continues to represent a challenge, because multimedia objects usually lack sufficient text information to ensure reliable index learning. This research attempts to tackle the problem of automatic index construction for multimedia objects by employing Web usage logs and limited keywords pertaining to multimedia objects. The tests of two proposed algorithms use two different data sets with different amounts of textual information. Web usage logs offer precious information for building indexes of multimedia digital libraries with limited textual information. The proposed methods generally yield better indexes, especially for the artwork data set.
| Original language | English |
|---|---|
| Pages (from-to) | 295-307 |
| Number of pages | 13 |
| Journal | Information Processing and Management |
| Volume | 46 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2010 May 1 |
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All Science Journal Classification (ASJC) codes
- Information Systems
- Media Technology
- Computer Science Applications
- Management Science and Operations Research
- Library and Information Sciences
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Automatic index construction for multimedia digital libraries. / Hwang, San Yih; Yang, Wan-Shiou; Ting, Kang Di.
In: Information Processing and Management, Vol. 46, No. 3, 01.05.2010, p. 295-307.Research output: Contribution to journal › Article
TY - JOUR
T1 - Automatic index construction for multimedia digital libraries
AU - Hwang, San Yih
AU - Yang, Wan-Shiou
AU - Ting, Kang Di
PY - 2010/5/1
Y1 - 2010/5/1
N2 - Indexing remains one of the most popular tools provided by digital libraries to help users identify and understand the characteristics of the information they need. Despite extensive studies of the problem of automatic index construction for text-based digital libraries, the construction of multimedia digital libraries continues to represent a challenge, because multimedia objects usually lack sufficient text information to ensure reliable index learning. This research attempts to tackle the problem of automatic index construction for multimedia objects by employing Web usage logs and limited keywords pertaining to multimedia objects. The tests of two proposed algorithms use two different data sets with different amounts of textual information. Web usage logs offer precious information for building indexes of multimedia digital libraries with limited textual information. The proposed methods generally yield better indexes, especially for the artwork data set.
AB - Indexing remains one of the most popular tools provided by digital libraries to help users identify and understand the characteristics of the information they need. Despite extensive studies of the problem of automatic index construction for text-based digital libraries, the construction of multimedia digital libraries continues to represent a challenge, because multimedia objects usually lack sufficient text information to ensure reliable index learning. This research attempts to tackle the problem of automatic index construction for multimedia objects by employing Web usage logs and limited keywords pertaining to multimedia objects. The tests of two proposed algorithms use two different data sets with different amounts of textual information. Web usage logs offer precious information for building indexes of multimedia digital libraries with limited textual information. The proposed methods generally yield better indexes, especially for the artwork data set.
UR - http://www.scopus.com/inward/record.url?scp=77950297015&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77950297015&partnerID=8YFLogxK
U2 - 10.1016/j.ipm.2009.10.006
DO - 10.1016/j.ipm.2009.10.006
M3 - Article
AN - SCOPUS:77950297015
VL - 46
SP - 295
EP - 307
JO - Information Processing and Management
JF - Information Processing and Management
SN - 0306-4573
IS - 3
ER -