
TL;DR
This paper explores the management and utilization of faceted classification systems in online environments, emphasizing the importance of machine-readable knowledge organization for improved information retrieval and system interoperability.
Contribution
It proposes functional requirements for supporting faceted classifications online, enhancing their management, creation, and exchange standards.
Findings
Automating classification conversion can streamline system updates.
Supporting machine processing improves information retrieval.
Standardized requirements aid in knowledge system exchange.
Abstract
The paper discusses issues related to the use of faceted classifications in an online environment. The author argues that knowledge organization systems can be fully utilized in information retrieval only if they are exposed and made available for machine processing. The experience with classification automation to date may be used to speed up and ease the conversion of existing faceted schemes or the creation of management tools for new systems. The author suggests that it is possible to agree on a set of functional requirements for supporting faceted classifications online that are equally relevant for the maintenance of classifications, the creation of classification indexing tools, or the management of classifications in an authority file. It is suggested that a set of requirements for analytico-synthetic classifications may be put forward to improve standards for the use and…
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