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Can I read Knowledge-based Clustering Scheme for Collection Management and Retrieval of Library Books on EtoBox?
Knowledge-based Clustering Scheme for Collection Management and Retrieval of Library Books by M.Narasimha Murty; Anil K. Jain is a Computer Science article available to read on EtoBox.
What is Knowledge-based Clustering Scheme for Collection Management and Retrieval of Library Books about?
We propose a knowledge-based clustering scheme for grouping books in a library. Such a grouping is achieved with the help of domain knowledge in the form of the ACM CR (Computing Reviews) category hierarchy. A new knowledge-based similarity measure is defined and used in clustering books. The proposed scheme is useful in overcoming several problems associated with the existing book collection management and document retrieval systems. More specifically, it can be used in: (1) helping the user select an appropriate collection of books in a library which contains the topics of interest; (2) assigning a classification number to a new book; (3) designing a more appropriate and uniform classification scheme for books; and (4) comparison of libraries based on their collections. Initial experiments on a collection of hundred books using the proposed clustering scheme have given us encouraging results. ## Knowledge-based clustering Similarity measure Collection management Domain knowledge ## Document retrieval Library books
Who reads Knowledge-based Clustering Scheme for Collection Management and Retrieval of Library Books?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- M.Narasimha Murty; Anil K. Jain
- Publisher
- Elsevier BV
- Published
- 1995
- Language
- EN
- Field
- Computer Science (Physical Sciences)