In:
The Electronic Library, Emerald, Vol. 27, No. 3 ( 2009-06-05), p. 496-508
Abstract:
As library collections increase rapidly, personalized recommender systems have become a very important service for library patrons. The purpose of this paper is to design and implement a personal ontology recommender (PORE) system by building personal ontologies based on patrons' borrowing records. Design/methodology/approach In the PORE system, the traditional cataloging scheme, classification for Chinese libraries, is used as the reference ontology. This reference ontology is transformed to a unique personal ontology for each user based on the mining results from library borrowing records of that user. Findings A personal ontology represents a unique user interest on specific subjects. The personal ontology can be used to filter out unsuitable recommendations based only on a keyword matching method. Besides, the recommended books can be organized into the personal ontology, and provide the patron with a user‐friendly interface to access library collections. Research limitations/implications The PORE system is currently implemented for Chinese collections. From this paper builds a new version to support English collections by adopting the Library of Congress Classification as the reference ontology. Originality/value This paper represents a practical method of building a user's personal ontology and explains the functional use of ontology knowledge.
Type of Medium:
Online Resource
ISSN:
0264-0473
DOI:
10.1108/02640470910966925
Language:
English
Publisher:
Emerald
Publication Date:
2009
detail.hit.zdb_id:
790046-6
detail.hit.zdb_id:
1500250-0
SSG:
24,1
