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Μέγεθος:
1.12 MB
Μορφότυπος:
Adobe PDF
https://hdl.handle.net/20.500.12776/16205
Στυλ βιβλιογραφικής αναφοράς:
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Τύπος:
[EL]
Άρθρο σε επιστημονικό περιοδικό
[EN]
Scientific journal article
Expressiveness and machine processability of Knowledge Organization Systems (KOS): an analysis of concepts and relations
Δημιουργός:
[EL]
Πεπονάκης, Μανόλης
[EN]
Peponakis, Manolis
[EL]
Μάστορα, Άννα
[EN]
Mastora, Anna
Kapidakis, Sarantos
Doerr, Martin
Εκδότης:
Springer
Περίληψη:
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.
Ημερομηνία:
2019
Γλώσσα:
Αγγλικά
ISSN:
1432-5012 (Print)
1432-1300 (Online)
Τίτλος πηγής δημοσίευσης:
International Journal on Digital Libraries
Θεματική κατηγορία:
[EL]
Πηγές πληροφόρησης
[EN]
Information sources
Λέξεις-Κλειδιά:
Knowledge Organization Systems (KOS)
;
Ontologies
;
Semantic web
;
Computational linguistics
;
Expressiveness
;
Machine Processability
;
FRSAD
;
Simple Knowledge Organisation System (SKOS)
;
Eurovoc
;
Dewey Decimal Classification
;
LCSH
;
CIDOC-CRM
Κάτοχος πνευματικών δικαιωμάτων:
Copyright © Springer
Ηλεκτρονική διεύθυνση του τεκμηρίου στον εκδότη:
https://doi.org/10.1007/s00799-019-00269-0
Ηλεκτρονική διεύθυνση περιοδικού:
https://link.springer.com/journal/799
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