Library resources semantization based on resource ontology

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.

Citation

Yu, F., Qiu, J. and Lou, W. (2014), "Library resources semantization based on resource ontology", The Electronic Library, Vol. 32 No. 3, pp. 341-362. https://doi.org/10.1108/EL-05-2012-0056