Abstract
Although digital library (DL) information is becoming increasingly annotated using metadata, semantic query with respect to the structure of metadata has seldom been addressed. The correlation of the two important aspects of DL - content and services - can generate additional semantic relationships. This study proposes a content and service inference model (CSIM) to derive 15 relationships between content and services, and defines functions to manipulate these relationships. Adding the manipulation functions to query predicates facilitates the description of structural semantics of DL content. Moreover, in search for DL services, inferences concerning CSIM relationships can be made to reuse DL service components. Highly promising with experimental results demonstrates that CSIM outperforms the conventional keyword-based method in both content and service queries. Applying CSIM in DL significantly improves semantic queries and alleviates the administrative load when developing novel DL services such as DL query interface, library resource-planning and virtual union catalog system.
| Original language | English |
|---|---|
| Pages (from-to) | 891-908 |
| Number of pages | 18 |
| Journal | Information Processing and Management |
| Volume | 41 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2005 Jul 1 |
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Keywords
- Content and service inference model
- Digital library
- Information retrieval
- Metadata
- Semantic query
ASJC Scopus subject areas
- Information Systems
- Media Technology
- Computer Science Applications
- Management Science and Operations Research
- Library and Information Sciences
Cite this
Enhancing semantic digital library query using a content and service inference model (CSIM). / Huang, Su Hsien; Ke, Hao-Ren; Yang, Wei Pang.
In: Information Processing and Management, Vol. 41, No. 4, 01.07.2005, p. 891-908.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Enhancing semantic digital library query using a content and service inference model (CSIM)
AU - Huang, Su Hsien
AU - Ke, Hao-Ren
AU - Yang, Wei Pang
PY - 2005/7/1
Y1 - 2005/7/1
N2 - Although digital library (DL) information is becoming increasingly annotated using metadata, semantic query with respect to the structure of metadata has seldom been addressed. The correlation of the two important aspects of DL - content and services - can generate additional semantic relationships. This study proposes a content and service inference model (CSIM) to derive 15 relationships between content and services, and defines functions to manipulate these relationships. Adding the manipulation functions to query predicates facilitates the description of structural semantics of DL content. Moreover, in search for DL services, inferences concerning CSIM relationships can be made to reuse DL service components. Highly promising with experimental results demonstrates that CSIM outperforms the conventional keyword-based method in both content and service queries. Applying CSIM in DL significantly improves semantic queries and alleviates the administrative load when developing novel DL services such as DL query interface, library resource-planning and virtual union catalog system.
AB - Although digital library (DL) information is becoming increasingly annotated using metadata, semantic query with respect to the structure of metadata has seldom been addressed. The correlation of the two important aspects of DL - content and services - can generate additional semantic relationships. This study proposes a content and service inference model (CSIM) to derive 15 relationships between content and services, and defines functions to manipulate these relationships. Adding the manipulation functions to query predicates facilitates the description of structural semantics of DL content. Moreover, in search for DL services, inferences concerning CSIM relationships can be made to reuse DL service components. Highly promising with experimental results demonstrates that CSIM outperforms the conventional keyword-based method in both content and service queries. Applying CSIM in DL significantly improves semantic queries and alleviates the administrative load when developing novel DL services such as DL query interface, library resource-planning and virtual union catalog system.
KW - Content and service inference model
KW - Digital library
KW - Information retrieval
KW - Metadata
KW - Semantic query
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UR - http://www.scopus.com/inward/citedby.url?scp=11144228317&partnerID=8YFLogxK
U2 - 10.1016/j.ipm.2004.04.012
DO - 10.1016/j.ipm.2004.04.012
M3 - Article
AN - SCOPUS:11144228317
VL - 41
SP - 891
EP - 908
JO - Information Processing and Management
JF - Information Processing and Management
SN - 0306-4573
IS - 4
ER -