Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/38073
標題: PORE: a personal ontology recommender system for digital libraries
作者: Liao, S.C.
廖宜恩
Kao, K.F.
Liao, I.E.
Chen, H.L.
Huang, S.O.
關鍵字: Customer service management
Information systems
Taiwan
Digital
libraries
retrieval
knowledge
search
期刊/報告no:: Electronic Library, Volume 27, Issue 3, Page(s) 496-508.
摘要: Purpose - 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.
URI: http://hdl.handle.net/11455/38073
ISSN: 0264-0473
文章連結: http://dx.doi.org/10.1108/02640470910966925
Appears in Collections:資訊科學與工程學系所

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