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.
Keywords
Acknowledgements
This paper was supported by the major programme of National Social Science Foundation of China “Evaluation of the Quality Safety and Methods of Network Early-Warning in China” (11&ZD158), special research of public industry quality check of Science and Technology Ministry “Quality Supervision Technology and Support Research of Security Risk Information System”(201210117), major programme of National Social Science Foundation of China “Semantic-based Deep Integration and Visualization of Library Resources” (11&ZD152) and “the Fundamental Research Funds for the Central Universities”(2013104010201).
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
Publisher
:Emerald Group Publishing Limited
Copyright © 2014, Emerald Group Publishing Limited