Journal article
Tracking latent domain structures: An integration of pathfinder and Latent Semantic Analysis
AI & society, v 11(1-2)
01 Mar 1997
Abstract
Standard psychological scaling methods have been widely used as knowledge elicitation tools to uncover structural characteristics of a given domain. However, these methods traditionally rely on relatedness ratings from human experts, which is often time-consuming and tedious. We describe an integrated approach to knowledge elicitation and representation using Latent Semantic Analysis and Pathfinder Network Scaling techniques. The semantic structure of a subject domain can be automatically characterised from a collection of published documents in the domain. The method is illustrated with an example of organising a digital library in accordance to latent semantic structures.
Metrics
4 Record Views
Details
- Title
- Tracking latent domain structures: An integration of pathfinder and Latent Semantic Analysis
- Creators
- Chaomei Chen - Brunel University of London
- Publication Details
- AI & society, v 11(1-2)
- Publisher
- Springer Nature
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Other Identifier
- 991019196667004721