SKOS Concepts and Natural Language Concepts: an Analysis of Latent Relationships in KOSs

Mastora, Anna and Peponakis, Manolis and Kapidakis, Sarantos SKOS Concepts and Natural Language Concepts: an Analysis of Latent Relationships in KOSs. Journal of Information Science, 2017, vol. 43, n. 4, pp. 492-508. [Journal article (Paginated)]

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English abstract

The vehicle to represent Knowledge Organisation Systems (KOSs) in the environment of the Semantic Web and linked data is the Simple Knowledge Organisation System (SKOS). SKOS provides a way to assign a Uniform Resource Identifier (URI) to each concept, and this URI functions as a surrogate for the concept. This fact makes of main concern the need to clarify the URIs’ ontological meaning. The aim of this study is to investigate the relationship between the ontological substance of KOS concepts and concepts revealed through the grammatical and syntactic formalisms of natural language. For this purpose, we examined the dividableness of concepts in specific KOSs (i.e. a thesaurus, a subject headings system and a classification scheme) by applying Natural Language Processing (NLP) techniques (i.e. morphosyntactic analysis) to the lexical representations (i.e. RDF literals) of SKOS concepts. The results of the comparative analysis reveal that, despite the use of multi-word units, thesauri tend to represent concepts in a way that can hardly be further divided conceptually, while subject headings and classification schemes – to a certain extent – comprise terms that can be decomposed into more conceptual constituents. Consequently, SKOS concepts deriving from thesauri are more likely to represent atomic conceptual units and thus be more appropriate tools for inference and reasoning. Since identifiers represent the meaning of a concept, complex concepts are neither the most appropriate nor the most efficient way of modelling a KOS for the Semantic Web.

Item type: Journal article (Paginated)
Keywords: atomic concepts; composite concepts; dividableness; Knowledge Organisation Systems (KOSs); morphosyntactic analysis; Natural Language Processing (NLP) techniques; relations; Semantic Web; Simple Knowledge Organisation System (SKOS)
Subjects: I. Information treatment for information services > IC. Index languages, processes and schemes.
I. Information treatment for information services > IL. Semantic web
Depositing user: Manolis Peponakis
Date deposited: 05 Oct 2017 05:51
Last modified: 05 Oct 2017 05:51
URI: http://hdl.handle.net/10760/31658

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