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.
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.
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.
| Original language | English |
|---|---|
| Pages (from-to) | 341-362 |
| Number of pages | 22 |
| Journal | Electronic Library |
| Volume | 32 |
| Issue number | 3 |
| DOIs | |
| State | Published - 1 May 2014 |
| Externally published | Yes |
Keywords
- Informetrics
- Knowledge organization
- Library resources
- Resource ontology
- Semantization