Cluster-based database selection techniques for routing bibliographic queries

• Main Authors: XU, Jian, LIM, Ee Peng, NG, Wee-Keong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 1999
• Subjects: Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/975; https://ink.library.smu.edu.sg/context/sis_research/article/1974/viewcontent/2c750f6f54dfd6d9e4e26f4f57b480cdd790.pdf
• Institution: Singapore Management University

In this paper, we focus on the database selection problem in the context of a global digital library consisting of a large number of online bibliographic servers. Each server hosts a bibliographic database that contains bibliographic records each of which consists of text values for a number of pre-defined bibliographic attributes such as title, author, call number, subject, etc.. Each bibliographic database supports user queries on the bibliographic attributes. Since bibliographic records are relatively small in size, we only consider bibliographic databases that support boolean queries on the bibliographic attributes, and the query results are not ranked. While focusing on bibliographic databases, we believe that our proposed solution can be extended to handle other databases that contain searchable text attributes. Formally, we define a general database selection problem as follows: