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PORE: a personal ontology recommender system for digital libraries

Shu‐Chuan Liao (Based at Department of Social Work, Asia University, Taichung, Taiwan)
Kuo‐Fong Kao (Based at Department of Information Networking Technology, Hsiuping Institute of Technology, Taichung, Taiwan)
I‐En Liao (based at Department of Computer Science and Engineering, National Chung Hsing University, Taichung, Taiwan)
Hui‐Lin Chen (Based at Chunghwa Telecom Co., Taichung, Taiwan)
Shu‐O Huang (Based at Institute of Civil and Hydraulic Engineering, Feng Chia University, Taichung, Taiwan and Department of Holistic Wellness, Ming Dao University, Peetow, Taiwan)

The Electronic Library

ISSN: 0264-0473

Article publication date: 5 June 2009

1703

Abstract

Purpose

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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

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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

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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

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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

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This paper represents a practical method of building a user's personal ontology and explains the functional use of ontology knowledge.

Keywords

Citation

Liao, S., Kao, K., Liao, I., Chen, H. and Huang, S. (2009), "PORE: a personal ontology recommender system for digital libraries", The Electronic Library, Vol. 27 No. 3, pp. 496-508. https://doi.org/10.1108/02640470910966925

Publisher

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Emerald Group Publishing Limited

Copyright © 2009, Emerald Group Publishing Limited

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