Search (8 results, page 1 of 1)

0.001938603 = product of:
  0.003877206 = sum of:
    0.003877206 = product of:
      0.007754412 = sum of:
        0.007754412 = weight(_text_:a in 4431) [ClassicSimilarity], result of:
          0.007754412 = score(doc=4431,freq=8.0), product of:
            0.043477926 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.037706986 = queryNorm
            0.17835285 = fieldWeight in 4431, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0546875 = fieldNorm(doc=4431)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

This paper describes the Laurin thesaurus, which is used for indexing and searching in the Laurin system, a software package for digital clipping archives. As a multilingual thesaurus it complies with the corresponding standards, though presenting some approaches going beyond some of the standards' recommendations. The Laurin thesaurus integrates all kind of indexing terms, not only keywords, but proper names as well. The system of categories and relationships is described in detail.

Type

a

0.0018577921 = product of:
  0.0037155843 = sum of:
    0.0037155843 = product of:
      0.0074311686 = sum of:
        0.0074311686 = weight(_text_:a in 1147) [ClassicSimilarity], result of:
          0.0074311686 = score(doc=1147,freq=10.0), product of:
            0.043477926 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.037706986 = queryNorm
            0.1709182 = fieldWeight in 1147, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=1147)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Because the multilingual thesaurus has a critical role to play in the global networked information world, its relational structure must come under close scrutiny. Traditionally, identity of relational structures has been sought for the different language versions of a multilingual thesaurus, often leading to the artificialization of all target languages. The various types of cross-lingual and intralingual relations found in thesauri are examined in the context of two questions: Are all types of thesaural relations transferable from one language to another? and Are the two members of a valid relation in a source language always the same in the target language(s)? Two options for resolving semantic conflicts in multilingual thesauri are presented.

Type

a

0.0016788795 = product of:
  0.003357759 = sum of:
    0.003357759 = product of:
      0.006715518 = sum of:
        0.006715518 = weight(_text_:a in 237) [ClassicSimilarity], result of:
          0.006715518 = score(doc=237,freq=6.0), product of:
            0.043477926 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.037706986 = queryNorm
            0.1544581 = fieldWeight in 237, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0546875 = fieldNorm(doc=237)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

This paper reports a part of an on-going PhD study on problems related to multicultural social science thesaurus construction in the general frame of information science. The main analysis methods used are discourse analysis and co-word analysis. In theoretical framework the emphasis is on communicative equivalence theories and different aims of thesaurus translation are discussed. Some examples are given how co-word analysis can be used to study contextual equivalence.

Source

Knowledge organization for a global learning society: Proceedings of the 9th International ISKO Conference, 4-7 July 2006, Vienna, Austria. Hrsg.: G. Budin, C. Swertz u. K. Mitgutsch

Type

a

0.0016616598 = product of:
  0.0033233196 = sum of:
    0.0033233196 = product of:
      0.006646639 = sum of:
        0.006646639 = weight(_text_:a in 4910) [ClassicSimilarity], result of:
          0.006646639 = score(doc=4910,freq=2.0), product of:
            0.043477926 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.037706986 = queryNorm
            0.15287387 = fieldWeight in 4910, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.09375 = fieldNorm(doc=4910)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Type

a

0.0016616598 = product of:
  0.0033233196 = sum of:
    0.0033233196 = product of:
      0.006646639 = sum of:
        0.006646639 = weight(_text_:a in 131) [ClassicSimilarity], result of:
          0.006646639 = score(doc=131,freq=8.0), product of:
            0.043477926 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.037706986 = queryNorm
            0.15287387 = fieldWeight in 131, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=131)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

In this paper, after an introduction about problems of multilingual information languages, the rules and recommendations of the Guidelines for the establishment and development of multilingual thesauri for non-equivalence and partial equivalence of terms in different languages are discussed. Artificial terms are not very useful in searching, because most users are not willing to use a thesaurus to find the right descriptor. On the other hand indexers need guidance on how to index and therefore need a thesaurus with all desirable and necessary relations. It is suggested that bibliographic online systems can take over some of the functions for the searcher from the thesaurus and that a few new relations could be helpful to an indexer

Type

a

0.0016616598 = product of:
  0.0033233196 = sum of:
    0.0033233196 = product of:
      0.006646639 = sum of:
        0.006646639 = weight(_text_:a in 3391) [ClassicSimilarity], result of:
          0.006646639 = score(doc=3391,freq=18.0), product of:
            0.043477926 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.037706986 = queryNorm
            0.15287387 = fieldWeight in 3391, product of:
              4.2426405 = tf(freq=18.0), with freq of:
                18.0 = termFreq=18.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.03125 = fieldNorm(doc=3391)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

For the sake of national security, very large volumes of data and information are generated and gathered daily. Much of this data and information is written in different languages, stored in different locations, and may be seemingly unconnected. Crosslingual semantic interoperability is a major challenge to generate an overview of this disparate data and information so that it can be analyzed, shared, searched, and summarized. The recent terrorist attacks and the tragic events of September 11, 2001 have prompted increased attention an national security and criminal analysis. Many Asian countries and cities, such as Japan, Taiwan, and Singapore, have been advised that they may become the next targets of terrorist attacks. Semantic interoperability has been a focus in digital library research. Traditional information retrieval (IR) approaches normally require a document to share some common keywords with the query. Generating the associations for the related terms between the two term spaces of users and documents is an important issue. The problem can be viewed as the creation of a thesaurus. Apart from this, terrorists and criminals may communicate through letters, e-mails, and faxes in languages other than English. The translation ambiguity significantly exacerbates the retrieval problem. The problem is expanded to crosslingual semantic interoperability. In this paper, we focus an the English/Chinese crosslingual semantic interoperability problem. However, the developed techniques are not limited to English and Chinese languages but can be applied to many other languages. English and Chinese are popular languages in the Asian region. Much information about national security or crime is communicated in these languages. An efficient automatically generated thesaurus between these languages is important to crosslingual information retrieval between English and Chinese languages. To facilitate crosslingual information retrieval, a corpus-based approach uses the term co-occurrence statistics in parallel or comparable corpora to construct a statistical translation model to cross the language boundary. In this paper, the text based approach to align English/Chinese Hong Kong Police press release documents from the Web is first presented. We also introduce an algorithmic approach to generate a robust knowledge base based an statistical correlation analysis of the semantics (knowledge) embedded in the bilingual press release corpus. The research output consisted of a thesaurus-like, semantic network knowledge base, which can aid in semanticsbased crosslingual information management and retrieval.

Type

a

0.0014390396 = product of:
  0.0028780792 = sum of:
    0.0028780792 = product of:
      0.0057561584 = sum of:
        0.0057561584 = weight(_text_:a in 4486) [ClassicSimilarity], result of:
          0.0057561584 = score(doc=4486,freq=6.0), product of:
            0.043477926 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.037706986 = queryNorm
            0.13239266 = fieldWeight in 4486, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=4486)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

In the 21st century, multilingual tools are gaining importance as increasingly diverse user groups from different cultural and linguistic backgrounds seek access to equally diverse pieces of information. The authors of this paper believe that most current forms of multilingual information access are inadequate for this role, and that a new form of multilingual thesaurus is required. The core of this paper introduces their pilot thesaurus InfoDEFT as a possible model for new online thesauri, which are semantically structured, encyclopedic and multilingual. The authors conclude that while the manual construction of such thesauri is labour intensive and hence costly, pilot thesauri can be used as training sets for artificial learning programmes, thus increasing their volume considerably at relatively little extra cost.

Type

a

0.0011749709 = product of:
  0.0023499418 = sum of:
    0.0023499418 = product of:
      0.0046998835 = sum of:
        0.0046998835 = weight(_text_:a in 5009) [ClassicSimilarity], result of:
          0.0046998835 = score(doc=5009,freq=4.0), product of:
            0.043477926 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.037706986 = queryNorm
            0.10809815 = fieldWeight in 5009, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=5009)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

The MACS (Multilingual access to subjects) project is one of the many projects that are currently exploring solutions to multilingual subject access to online catalogs. Its strategy is to develop a Web based link and search interface through which equivalents between three Subject Heading Languages: SWD/RSWK (Schlagwortnormdatei/Regeln für den Schlagwortkatalog) for German, RAMEAU (Repertoire d'Autorite-Matière Encyclopedique et Alphabetique Unifie) for French and LCSH (Library of Congress Subject Headings) for English can be created and maintained, and by which users can access online databases in the language of their choice. Factors that have lead to this approach will be examined and the MACS linking strategy will be explained. The trend to using mapping or linking strategies between different controlled vocabularies to create multilingual access challenges the traditional view of the multilingual thesaurus.

Type

a