Faceted Classification: Management and Use

Slavić, Aida

doi:10.1007/s10516-007-9030-z

Cited by 19 publications

(16 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…There are faceted nomenclatures (Stock & Stock, 2008, pp. 281–284), faceted classification systems (Broughton, 2006; Gnoli & Mei, 2006; Slavic, 2008; Vickery, 2008), faceted thesauri (Spiteri, 1999; Tudhope & Binding, 2008), and even faceted folksonomies (Spiteri, 2010) as well.…”

Section: Semantic Relationsmentioning

confidence: 99%

Concepts and semantic relations in information science

Stock

2010

J. Am. Soc. Inf. Sci.

View full text Add to dashboard Cite

Concept. A concept is determined via its intension and extension as well as by definition. We will meet the problem of vagueness by introducing prototypes. Some important definitions are concept explanations (after Aristotle) and the definition of family resemblances (in the sense of Wittgenstein). We will model concepts as frames (according to Barsalou). The most important paradigmatic relation in KOS is hierarchy, which must be arranged into different classes: Hyponymy consists of taxonomy and simple hyponymy, meronymy consists of many different part-whole-relations. For practical application purposes, the transitivity of the given relation is very important. Unspecific associative relations are of little help to our focused applications and should be replaced by generalizable and domain-specific relations. We will discuss the reflexivity, symmetry, and transitivity of paradigmatic relations as well as the appearance of specific semantic relations in the different kinds of KOS (folksonomies, nomenclatures, classification systems, thesauri, and ontologies). Finally, we will pick out KOS as a central theme of the Semantic Web.

show abstract

Section: Semantic Relationsmentioning

confidence: 99%

Concepts and semantic relations in information science

Stock

2010

J. Am. Soc. Inf. Sci.

View full text Add to dashboard Cite

show abstract

“…The development of the UNIMARC Classification Format started later, based on the experience of MARC21, declaratively for the purposes of UDC. However, the format has not been finished and is available in its draft form on the IFLA website (IFLA 2000) despite the proposals for its improvement (Slavic 2008). Since the UNIMARC format, especially after the proposed changes, support for UDC on an improved level implementing conversions to its published and improved versions were decided and have been implemented.…”

Section: Further Output Formatsmentioning

confidence: 99%

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

Piros¹

2017

View full text Add to dashboard Cite

Attila Piros is a PhD candidate at the Doctoral School of Mathematics and Computer Science at the University of Debrecen, Hungary. He holds a master's degree in teaching mathematics and library and information sciences from the University of Debrecen. His doctoral research deals with analysis of the UDC notations and their utilisation in computerized information retrieval. He has authored a number of research papers and has reported on his research at conferences, including the International UDC Seminar 2015. Attila has been working as a software developer and currently works on software solutions in market research.Piros, Attila. 2017. "The Thought Behind the Symbol: About the Automatic Interpretation and Representation of UDC Numbers." Knowledge Organization 44 (6): 416-424. 31 references.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.

show abstract

“…But now the electronic versions have been made available to the users mostly on the web and have many additional valued features apart from being easily kept updated by the publishers. Classification systems in a machine readable database, which these days are in MARC-21 Concise Format for Classification Data, have the following functions (Slavic, 2008):…”

Section: Print and Machine-readable Formats Of Classification Systemsmentioning

confidence: 99%