Search (7 results, page 1 of 1)

0.0212298 = product of:
  0.063689396 = sum of:
    0.063689396 = product of:
      0.12737879 = sum of:
        0.12737879 = weight(_text_:project in 1134) [ClassicSimilarity], result of:
          0.12737879 = score(doc=1134,freq=2.0), product of:
            0.19509704 = queryWeight, product of:
              4.220981 = idf(docFreq=1764, maxDocs=44218)
              0.04622078 = queryNorm
            0.6528997 = fieldWeight in 1134, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.220981 = idf(docFreq=1764, maxDocs=44218)
              0.109375 = fieldNorm(doc=1134)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

0.009098486 = product of:
  0.027295457 = sum of:
    0.027295457 = product of:
      0.054590914 = sum of:
        0.054590914 = weight(_text_:project in 3961) [ClassicSimilarity], result of:
          0.054590914 = score(doc=3961,freq=2.0), product of:
            0.19509704 = queryWeight, product of:
              4.220981 = idf(docFreq=1764, maxDocs=44218)
              0.04622078 = queryNorm
            0.27981415 = fieldWeight in 3961, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.220981 = idf(docFreq=1764, maxDocs=44218)
              0.046875 = fieldNorm(doc=3961)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

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.

0.0075820712 = product of:
  0.022746213 = sum of:
    0.022746213 = product of:
      0.045492426 = sum of:
        0.045492426 = weight(_text_:project in 1801) [ClassicSimilarity], result of:
          0.045492426 = score(doc=1801,freq=2.0), product of:
            0.19509704 = queryWeight, product of:
              4.220981 = idf(docFreq=1764, maxDocs=44218)
              0.04622078 = queryNorm
            0.23317845 = fieldWeight in 1801, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.220981 = idf(docFreq=1764, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1801)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Abstract

Subject access to bibliographic data supported by knowledge organization systems, such as subject headings and classification, plays an important role in ensuring the quality of library catalogues. It is generally acknowledged that users have a strong affinity to subject browsing and searching and are inclined tofollow meaningful links between resources. Research studies, however, show that library OPACs are not designed to support or make good use of subject indexes and their underlying semantic structure. A project entitled OPAC semantici was initiated in 2003 by a number of Italian subject specialists and the Italian "Research Group on Subject Indexing" (GRIS) with a goal to analyse and evaluate subject access in Italian library catalogues through a survey of 150 OPACs. Applying the same methodology, a follow-up survey to assess whether any improvement had taken place was conducted five years later, in spring 2008. Analysis of these two surveys indicated that there was a slight improvement. The authors discuss the results of these two surveys, analyse the problems in subject searching in OPACs and explain the recommendations for subject searching enhancement put forward by GRIS. Using the example of Italian OPACs, the authors will attempt to outline some requirements for a subject searching interface and explain how this can be achieved through authority control.

0.0062622773 = product of:
  0.01878683 = sum of:
    0.01878683 = product of:
      0.03757366 = sum of:
        0.03757366 = weight(_text_:22 in 780) [ClassicSimilarity], result of:
          0.03757366 = score(doc=780,freq=2.0), product of:
            0.16185729 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04622078 = queryNorm
            0.23214069 = fieldWeight in 780, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=780)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Date

22.12.2007 17:22:31

0.0062622773 = product of:
  0.01878683 = sum of:
    0.01878683 = product of:
      0.03757366 = sum of:
        0.03757366 = weight(_text_:22 in 1428) [ClassicSimilarity], result of:
          0.03757366 = score(doc=1428,freq=2.0), product of:
            0.16185729 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04622078 = queryNorm
            0.23214069 = fieldWeight in 1428, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=1428)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

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

0.006065657 = product of:
  0.01819697 = sum of:
    0.01819697 = product of:
      0.03639394 = sum of:
        0.03639394 = weight(_text_:project in 2875) [ClassicSimilarity], result of:
          0.03639394 = score(doc=2875,freq=2.0), product of:
            0.19509704 = queryWeight, product of:
              4.220981 = idf(docFreq=1764, maxDocs=44218)
              0.04622078 = queryNorm
            0.18654276 = fieldWeight in 2875, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.220981 = idf(docFreq=1764, maxDocs=44218)
              0.03125 = fieldNorm(doc=2875)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Abstract

Purpose - This paper aims to provide an overview of principles and procedures involved in creating a faceted classification scheme for use in resource discovery in an online environment. Design/methodology/approach - Facet analysis provides an established rigorous methodology for the conceptual organization of a subject field, and the structuring of an associated classification or controlled vocabulary. This paper explains how that methodology was applied to the humanities in the FATKS project, where the objective was to explore the potential of facet analytical theory for creating a controlled vocabulary for the humanities, and to establish the requirements of a faceted classification appropriate to an online environment. A detailed faceted vocabulary was developed for two areas of the humanities within a broader facet framework for the whole of knowledge. Research issues included how to create a data model which made the faceted structure explicit and machine-readable and provided for its further development and use. Findings - In order to support easy facet combination in indexing, and facet searching and browsing on the interface, faceted classification requires a formalized data structure and an appropriate tool for its management. The conceptual framework of a faceted system proper can be applied satisfactorily to humanities, and fully integrated within a vocabulary management system. Research limitations/implications - The procedures described in this paper are concerned only with the structuring of the classification, and do not extend to indexing, retrieval and application issues. Practical implications - Many stakeholders in the domain of resource discovery consider developing their own classification system and supporting tools. The methods described in this paper may clarify the process of building a faceted classification and may provide some useful ideas with respect to the vocabulary maintenance tool. Originality/value - As far as the authors are aware there is no comparable research in this area.

0.0053613344 = product of:
  0.016084002 = sum of:
    0.016084002 = product of:
      0.032168005 = sum of:
        0.032168005 = weight(_text_:project in 3370) [ClassicSimilarity], result of:
          0.032168005 = score(doc=3370,freq=4.0), product of:
            0.19509704 = queryWeight, product of:
              4.220981 = idf(docFreq=1764, maxDocs=44218)
              0.04622078 = queryNorm
            0.16488208 = fieldWeight in 3370, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.220981 = idf(docFreq=1764, maxDocs=44218)
              0.01953125 = fieldNorm(doc=3370)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

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.
Precombined subjects, such as those shown above from Dewey, may be expressed in UDC Summary as examples of combination within various records. To express an exact match UDC class 07 has to contain example of combination 07(7) Journals. The Press - North America. In some cases we have, therefore, added examples to UDC Summary that represent exact match to Dewey Summaries. It is unfortunate that DDC has so many classes on the top level that deal with a selection of countries or languages that are given a preferred status in the scheme, and repeating these preferences in examples of combinations of UDC emulates an unwelcome cultural bias which we have to balance out somehow. This brings us to another challenge.. UDC 913(7) Regional Geography - North America [contains 2 concepts each of which has its URI] is an exact match to Dewey 917 [represented as one concept, 1 URI]. It seems that, because they represent an exact match to Dewey numbers, these UDC examples of combinations may also need a separate URIs so that they can be published as SKOS data. Albeit challenging, mapping proves to be a very useful exercise and I am looking forward to future work here especially in relation to our plans to map UDC Summary to Colon Classification. We are discussing this project with colleagues from DRTC in Bangalore (India)."