AI and Society 11 (1-2):48-62 (1997)

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
Keywords Knowledge organisation  Knowledge elicitation  Latent semantic analysis  pathfinder
Categories (categorize this paper)
DOI 10.1007/BF02812438
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy

Upload a copy of this paper     Check publisher's policy     Papers currently archived: 69,066
External links

Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library

References found in this work BETA

Semantic Networks.M. Ross Quillian - 1968 - In Marvin L. Minsky (ed.), Semantic Information Processing. MIT Press.

Add more references

Citations of this work BETA

No citations found.

Add more citations

Similar books and articles


Added to PP index

Total views
19 ( #579,228 of 2,498,775 )

Recent downloads (6 months)
1 ( #422,193 of 2,498,775 )

How can I increase my downloads?


My notes