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From Knowledge Organization to Knowledge Representation and Back

NOPR - NISCAIR Online Periodicals Repository

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Field Value
 
Title From Knowledge Organization to Knowledge Representation and Back
 
Creator Giunchiglia, Fausto
Bagchi, Mayukh
Das, Subhashis
 
Subject Knowledge Organization
Knowledge Representation
Faceted Approach
Digital Universities
Information Science
Artificial Intelligence
 
Description 137-149
Knowledge Organization (KO) and Knowledge Representation (KR) have been the two mainstream methodologies of knowledge modelling in the Information Science community and the Artificial Intelligence community, respectively. The facet-analytical tradition of KO has developed an exhaustive set of guiding canons for ensuring quality in organising and managing knowledge but has remained limited in terms of technology-driven activities to expand its scope and services beyond the bibliographic universe of knowledge. KR, on the other hand, boasts of a robust ecosystem of technologies and technology-driven service design which can be tailored to model any entity or scale to any service in the entire universe of knowledge. This paper elucidates both the facet-analytical KO and KR methodologies in detail and provides a functional mapping between them. Out of the mapping, the paper proposes an integrated KR-enriched KO methodology with all the standard components of a KO methodology plus the advanced technologies provided by the KR approach. The practical benefits of the methodological integration has been exemplified through the flagship application of the Digital University at the University of Trento, Italy.
 
Date 2024-03-11T04:33:34Z
2024-03-11T04:33:34Z
2024-03
 
Type Article
 
Identifier 0975-2404 (Online); 0972-5423 (Print)
http://nopr.niscpr.res.in/handle/123456789/63550
https://doi.org/10.56042/alis.v71i1.8998
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source ALIS Vol.71(1) [March 2024]