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  • × author_ss:"Slavic, A."
  1. Slavic, A.; Pika, J.; Riesthuis, G.; Overfield, C.: German UDC translation project (2007) 0.01
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    Date
    28.12.2008 19:29:00
    Source
    Extensions and corrections to the UDC. 29(2007), S.11-15
  2. Slavic, A.: AHDS gets to grips with FAT (2002) 0.01
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    Date
    29. 8.2004 9:31:55
  3. Slavic, A.; Turkulin, B.: Prevajanje klasifikacijskih oznak v naravni jezik (1998) 0.01
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    Abstract
    By providing the means for systematic arrangement, library classification has been used for centuries to organise document collections. The development of systems such as DDC, LCC a,d UDC, made classification sophisticated enough to be used both for the systematic arrangement of a collection and for information retrieval through the use of classified catalogues. Relatively short alphanumeric classification indexes are able to indicate quite sophisticated concepts, helping to overcome language barriers. With the advent of library automation, their role in the document retrieval process has become less important, in comparison with retrieval by natural language
    Footnote
    Übers. d. Titels: Online library classification: translation of notation into natural language
  4. Slavic, A.: UDC implementation : from library shelves to a structured indexing language (2003) 0.01
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  5. Slavic, A.: UDC implementation : from library shelves to a structured indexing language (2003) 0.01
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  6. Slavic, A.: Interface to classification : some objectives and options (2006) 0.00
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    Abstract
    This is a preprint to be published in the Extensions & Corrections to the UDC. The paper explains the basic functions of browsing and searching that need to be supported in relation to analytico-synthetic classifications such as Universal Decimal Classification (UDC), irrespective of any specific, real-life implementation. UDC is an example of a semi-faceted system that can be used, for instance, for both post-coordinate searching and hierarchical/facet browsing. The advantages of using a classification for IR, however, depend on the strength of the GUI, which should provide a user-friendly interface to classification browsing and searching. The power of this interface is in supporting visualisation that will 'convert' what is potentially a user-unfriendly indexing language based on symbols, to a subject presentation that is easy to understand, search and navigate. A summary of the basic functions of searching and browsing a classification that may be provided on a user-friendly interface is given and examples of classification browsing interfaces are provided.
  7. Slavic, A.: General library classification in learning material metadata : the application in IMS/LOM and CDMES metadata schemas (2003) 0.00
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    Abstract
    This paper analyses the approach to resource discovery in the educational domain and stresses this community's need for a subject approach to information. The use of both general (Dublin Core) and domain specific (IEEE Learning Object Metadata/IMS Metadata) metadata schemas for learning resource discovery suggests that library classification could be used for subject description. There are several reasons why this indexing language might be suitable for the indexing of education resources. The paper will explain the reasoning behind the application of Universal Decimal Classification in the EASEL (Educator's Access to Services in the Electronic Landscape - http://www.fdgroup.com/easel) project. EASEL deploys two Dublin Core and several different application profiles of LOM i.e. IMS Metadata and this paper will explain how these two types of metadata support the use of classification.
  8. Slavic, A.; Cordeiro, M.I.; Riesthuis, G.: Maintenance of the Universal Decimal Classification : overview of the past and preparations for the future (2008) 0.00
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    Source
    International cataloguing and bibliographic control. 37(2008) no.2, S.23-29
  9. Slavic, A.: Classification revisited : a web of knowledge (2011) 0.00
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    Abstract
    The vision of the semantic web is gradually unfolding and taking shape through a web of linked data, a part of which is built by capturing semantics stored in existing knowledge organization systems (KOS), subject metadata and resource metadata. The content of vast bibliographic collections is currently categorized by some widely used bibliographic classification and we may soon see them being mined for information and linked in a meaningful way across the web. Bibliographic classifications are designed for knowledge mediation, which offers both a rich terminology and different ways in which concepts can be categorized and related to each other in the universe of knowledge. From 1990 to 2010 they have been used in various resource discovery services on the web, and they continue to be used to support information integration in a number of international digital library projects. In this chapter we will revisit some of the ways in which universal classifications, as language-independent concept schemes, can assist humans and computers in structuring and presenting information and formulating queries. Most importantly, we will highlight issues important to understanding bibliographic classifications, identifying both their unused potential and their technical limitations.
  10. Cordeiro, M.I.; Slavic, A.: Data models for knowledge organization tools : evolution and perspectives (2003) 0.00
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    Date
    29. 8.2004 9:26:23
  11. Slavic, A.; Cordeiro, M.I.: Core requirements for automation of analytico-synthetic classifications (2004) 0.00
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    Date
    29. 8.2004 14:20:40
  12. Lasic-Lazic, J.; Slavic, A.; Banek, M.: Gemeinsame Ausbildung der IT Spezialisten an der Universität Zagreb : Vorteile und Probleme (2004) 0.00
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    Date
    29. 1.2005 19:18:49
  13. Slavic, A.: On the nature and typology of documentary classifications and their use in a networked environment (2007) 0.00
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    Date
    22.12.2007 17:22:31
  14. Vukadin, A.; Slavic, A.: Challenges of facet analysis and concept placement in Universal Classifications : the example of architecture in UDC (2014) 0.00
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    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
  15. Slavic, A.: Mapping intricacies : UDC to DDC (2010) 0.00
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    Content
    "Last week, I received an email from Yulia Skora in Ukraine who is working on the mapping between UDC Summary and BBK (Bibliographic Library Classification) Summary. It reminded me of yet another challenging area of work. When responding to Yulia I realised that the issues with mapping, for instance, UDC Summary to Dewey Summaries [pdf] are often made more difficult because we have to deal with classification summaries in both systems and we cannot use a known exactMatch in many situations. In 2008, following advice received from colleagues in the HILT project, two of our colleagues quickly mapped 1000 classes of Dewey Summaries to UDC Master Reference File as a whole. This appeared to be relatively simple. The mapping in this case is simply an answer to a question "and how would you say e.g. Art metal work in UDC?" But when in 2009 we realised that we were going to release 2000 classes of UDC Summary as linked data, we decided to wait until we had our UDC Summary set defined and completed to be able to publish it mapped to the Dewey Summaries. As we arrived at this stage, little did we realise how much more complex the reversed mapping of UDC Summary to Dewey Summaries would turn out to be. Mapping the Dewey Summaries to UDC highlighted situations in which the logic and structure of two systems do not agree. Especially because Dewey tends to enumerate combinations of subject and attributes that do not always logically belong together. For instance, 850 Literatures of Italian, Sardinian, Dalmatian, Romanian, Rhaeto-Romanic languages Italian literature. This class mixes languages from three different subgroups of Romance languages. Italian and Sardinian belong to Italo Romance sub-family; Romanian and Dalmatian are Balkan Romance languages and Rhaeto Romance is the third subgroup that includes Friulian Ladin and Romanch. As UDC literature is based on a strict classification of language families, Dewey class 850 has to be mapped to 3 narrower UDC classes 821.131 Literature of Italo-Romance Languages , 821.132 Literature of Rhaeto-Romance languages and 821.135 Literature of Balkan-Romance Languages, or to a broader class 821.13 Literature of Romance languages. Hence we have to be sure that we have all these classes listed in the UDC Summary to be able to express UDC-DDC many-to-one, specific-to-broader relationships.
    Another challenge appears when, e.g., mapping Dewey class 890 Literatures of other specific languages and language families, which does not make sense in UDC in which all languages and literatures have equal status. Standard UDC schedules do not have a selection of preferred literatures and other literatures. In principle, UDC does not allow classes entitled 'others' which do not have defined semantic content. If entities are subdivided and there is no provision for an item outside the listed subclasses then this item is subsumed to a top class or a broader class where all unspecifiied or general members of that class may be expected. If specification is needed this can be divised by adding an alphabetical extension to the broader class. Here we have to find and list in the UDC Summary all literatures that are 'unpreferred' i.e. lumped in the 890 classes and map them again as many-to-one specific-to-broader match. The example below illustrates another interesting case. Classes Dewey 061 and UDC 06 cover roughy the same semantic field but in the subdivision the Dewey Summaries lists a combination of subject and place and as an enumerative classification, provides ready made numbers for combinations of place that are most common in an average (American?) library. This is a frequent approach in the schemes created with the physical book arrangement, i.e. library schelves, in mind. UDC, designed as an indexing language for information retrieval, keeps subject and place in separate tables and allows for any concept of place such as, e.g. (7) North America to be used in combination with any subject as these may coincide in documents. Thus combinations such as Newspapers in North America, or Organizations in North America would not be offered as ready made combinations. There is no selection of 'preferred' or 'most needed countries' or languages or cultures in the standard UDC edition: <Tabelle>
  16. Slavic, A.; Davies, S.: Facet analysis in UDC : questions of structure, functionality and data formality (2017) 0.00
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    Date
    29. 9.2017 19:07:18