The Thought Behind the Symbol: About the Automatic Interpretation and Representation of UDC Numbers.

Saved in:

Bibliographic Details
Title:	The Thought Behind the Symbol: About the Automatic Interpretation and Representation of UDC Numbers.
Authors:	Piros, Attila¹ attila.y.piros@gmail.com
Source:	Knowledge Organization. 2017, Vol. 44 Issue 6, p416-424. 9p.
Subjects:	Faceted classification, Universal decimal classification, Semantics (Philosophy), Information retrieval, Computer software
Abstract:	Analytico-synthetic and faceted classifications, such as Universal Decimal Classification (UDC) provide facilities to express pre-coordinated subject statements using syntactic relations. In this case, the relevance, in the process of UDC-based information retrieval, can be determined by extracting the meaning of the classmarks as precisely as is possible. The central question here is how the identification mentioned above can be supported by automatic means and an analysis of the structure of complex classmarks appears to be an obvious requirement. Many bibliographic sources contain complex UDC classmarks which are stored as simple text strings and on which it is very difficult to perform any meaningful information discovery. The paper presents results from a phase of ongoing research focused on developing a new platform-independent, machine-processable data format capable of representing the whole syntactic structure of the composite UDC numbers to support their further automatic processing. An algorithm that can produce the representation of the numbers in such a format directly from their designations has also been developed and implemented. The research also includes implementing conversion methods to provide outputs that can be employed by other software directly and, as a service, make them available for other software. The paper provides an overview of the solutions developed and implemented since 2015 and outlines future research plans. [ABSTRACT FROM AUTHOR]
	Copyright of Knowledge Organization is the property of IMR Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database:	Engineering Source

Description
Abstract:	Analytico-synthetic and faceted classifications, such as Universal Decimal Classification (UDC) provide facilities to express pre-coordinated subject statements using syntactic relations. In this case, the relevance, in the process of UDC-based information retrieval, can be determined by extracting the meaning of the classmarks as precisely as is possible. The central question here is how the identification mentioned above can be supported by automatic means and an analysis of the structure of complex classmarks appears to be an obvious requirement. Many bibliographic sources contain complex UDC classmarks which are stored as simple text strings and on which it is very difficult to perform any meaningful information discovery. The paper presents results from a phase of ongoing research focused on developing a new platform-independent, machine-processable data format capable of representing the whole syntactic structure of the composite UDC numbers to support their further automatic processing. An algorithm that can produce the representation of the numbers in such a format directly from their designations has also been developed and implemented. The research also includes implementing conversion methods to provide outputs that can be employed by other software directly and, as a service, make them available for other software. The paper provides an overview of the solutions developed and implemented since 2015 and outlines future research plans. [ABSTRACT FROM AUTHOR]
ISSN:	09437444
DOI:	10.5771/0943-7444-2017-6-416