Expressiveness and machine processability of Knowledge Organization Systems (KOS): an analysis of concepts and relations

This item is provided by the institution :
National Documentation Centre (EKT)   

Repository :
Institutional Repository of EKT "Ariadne"  | repositories EKT   

see the original item page
in the repository's web site and access all digital files if the item*



Expressiveness and machine processability of Knowledge Organization Systems (KOS): an analysis of concepts and relations

Doerr, Martin
Kapidakis, Sarantos
Μάστορα, Άννα
Πεπονάκης, Μανόλης

Άρθρο σε επιστημονικό περιοδικό (EL)
Scientific journal article (EN)

2019


This study considers the expressiveness (that is, the expressive power or expressivity) of different types of Knowledge Organization Systems (KOS) and discusses its potential to be machine-processable in the context of the semantic web. For this purpose, the theoretical foundations of KOS are reviewed based on conceptualizations introduced by the Functional Requirements for Subject Authority Data (FRSAD) and the Simple Knowledge Organization System (SKOS); natural language processing techniques are also implemented. Applying a comparative analysis, the dataset comprises a thesaurus (Eurovoc), a subject headings system (LCSH) and a classification scheme (DDC). These are compared with an ontology (CIDOC-CRM) by focusing on how they define and handle concepts and relations. It was observed that LCSH and DDC focus on the formalism of character strings (nomens) rather than on the modelling of semantics; their definition of what constitutes a concept is quite fuzzy, and they comprise a large number of complex concepts. By contrast, thesauri have a coherent definition of what constitutes a concept, and apply a systematic approach to the modelling of relations. Ontologies explicitly define diverse types of relations, and are by their nature machine-processable. The paper concludes that the potential of both the expressiveness and machine processability of each KOS is extensively regulated by its structural rules. It is harder to represent subject headings and classification schemes as semantic networks with nodes and arcs, while thesauri are more suitable for such a representation. In addition, a paradigm shift is revealed which focuses on the modelling of relations between concepts, rather than the concepts themselves. (EN)

Πηγές πληροφόρησης (EL)
Information sources (EN)

Semantic web (EN)
Expressiveness (EN)
Eurovoc (EN)
Dewey Decimal Classification (EN)
Ontologies (EN)
Simple Knowledge Organisation System (SKOS) (EN)
CIDOC-CRM (EN)
FRSAD (EN)
Computational linguistics (EN)
Machine Processability (EN)
Knowledge Organization Systems (KOS) (EN)
LCSH (EN)

English


International Journal on Digital Libraries

Copyright © Springer
https://creativecommons.org/licenses/by-nc-nd/4.0/deed.el




*Institutions are responsible for keeping their URLs functional (digital file, item page in repository site)