Enhancing semantic digital library query using a content and service inference model (CSIM)

Su Hsien Huang*, Hao Ren Ke, Wei Pang Yang

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

5 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
頁(從 - 到)891-908
頁數18
期刊Information Processing and Management
41
發行號4
DOIs
出版狀態已發佈 - 2005 七月

ASJC Scopus subject areas

  • 資訊系統
  • 媒體技術
  • 電腦科學應用
  • 管理科學與經營研究
  • 圖書館與資訊科學

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