Library resources semantization based on resource ontology. Issue 3 (27th May 2014)

• Record Type: Journal Article
• Authors: Yu, Fan; Qiu, Junping; Lou, Wen
• Is Part Of: Electronic library. Volume 32:Issue 3(2014)
• Page Start: 341
• Page End: 362
• Publication Date: 2014-05-27
• Subjects: Resource ontology -- Knowledge organization -- Library resources -- Informetrics -- Semantization; Digital libraries -- Periodicals; Libraries -- Automation -- Periodicals; 025.00285
• DOI: 10.1108/EL-05-2012-0056
• Languages: English
• ISSNs: 0264-0473

Abstract

Abstract : Purpose: – This paper aims to solve the disadvantages of content-based domain ontology (CBDO) and metadata-based domain ontology (MDO) and improve organization and discovery efficiency of library resources by resource ontology (RO). Design/methodology/approach: – The paper constructed an RO model. Methods of informetrics are utilized to reveal semantic relationships among library resources. Methods of ontology, ontology-relational database mapping (O-R mapping) and relational database modelling are utilized to construct RO. Take author co-occurrence for example, the paper demonstrated the capability of RO model. Findings: – RO not only revealed the deep-level semantic relationships of metadata of library resources but also realized totally computer-automated processing. RO improved the efficiency of knowledge organization and discovery. Research limitations/implications: – Semantic relationships revealed by RO are limited to simple metadata, which makes it difficult to reveal fine-grained semantic relationships. Ongoing research focuses on the revelation of semantic relationships based on the title and abstract. Practical implications: – The paper includes implications for utilizing methods of Informetrics to construct ontology. Originality/value: – This paper proposed a standardized process of ontology construction in library resources. It may be of potential interest for anyone who needs to effectively organize library resources.