Search (6 results, page 1 of 1)

0.0035694437 = product of:
  0.014277775 = sum of:
    0.014277775 = weight(_text_:information in 3678) [ClassicSimilarity], result of:
      0.014277775 = score(doc=3678,freq=8.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.23274569 = fieldWeight in 3678, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=3678)
  0.25 = coord(1/4)

Abstract

This paper explores the relationships between natural language lexicons in lexical semantics and thesauri in information retrieval research. These different areas of knowledge have different restrictions on use of vocabulary; thesauri are used only in information search and retrieval contexts, whereas lexicons are mental systems and generally applicable in all domains of life. A set of vocabulary requirements that defines the more concrete characteristics of vocabulary items in the 2 contexts can be derived from this framework: lexicon items have to be learnable, complex, transparent, etc., whereas thesaurus terms must be effective, current and relevant, searchable, etc. The differences in vocabulary properties correlate with 2 other factors, the well-known dimension of Control (deliberate, social activities of building and maintaining vocabularies), and Syntagmatization, which is less known and describes vocabulary items' varying formal preparedness to exit the thesaurus/lexicon, enter into linear syntactic constructions, and, finally, acquire communicative functionality. It is proposed that there is an inverse relationship between Control and Syntagmatization.

Source

Journal of the Association for Information Science and Technology. 68(2017) no.6, S.1480-1490

0.003091229 = product of:
  0.012364916 = sum of:
    0.012364916 = weight(_text_:information in 3644) [ClassicSimilarity], result of:
      0.012364916 = score(doc=3644,freq=6.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.20156369 = fieldWeight in 3644, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=3644)
  0.25 = coord(1/4)

Abstract

Ich unternehme in diesem Beitrag den Versuch, die Informationswissenschaft - hier gedeutet als 'Information Retrieval'- Disziplin - einer synchronen Querschnittsanalyse zu unterziehen, welche die aktuelle Position dieser Disziplin im Feld anderer zeichen- und wortschatzorientierter Disziplinen (neben der Linguistik die Terminologielehre und die Fachsprachenforschung) näher bestimmen soll. Im Rahmen der Analyse wird von einem Information Retrieval-Kern der Informationswissenschaft ausgegangen, welcher den Informationssuchkontext sowie die Konzepte des Informationsbedarfs und der Relevanz als für diese Disziplin zentrale Komponenten ansieht. Synchron wird das Verhältnis der Informationswissenschaft zu benachbarten Disziplinen durch eine Reihe disziplinspezifischer Zeichenanforderungen erklärt, wodurch ein systemischer Zusammenhang entsteht, der die Informationswissenschaft mit den drei anderen zeichenbezogenen und vokabularorientierten Disziplinen in Beziehung setzt. Das Verhältnis zwischen diesen Disziplinen wird anhand der Dimensionen Kontrolle/Verbindlichkeit sowie Verortung des Vokabulars ("im Kopf" vs. in externen Dokumenten) aufgezeigt, und es wird ein übergeordnetes Prinzip der Syntagmatisierung, welches die beiden Dimensionen vereint, vorgeschlagen.

Source

Information - Wissenschaft und Praxis. 65(2014) H.2, S.99-108

0.0029446408 = product of:
  0.011778563 = sum of:
    0.011778563 = weight(_text_:information in 131) [ClassicSimilarity], result of:
      0.011778563 = score(doc=131,freq=4.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.1920054 = fieldWeight in 131, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0546875 = fieldNorm(doc=131)
  0.25 = coord(1/4)

Abstract

Several attempts have been made to develop a classification of relationships, but none of these have been widely accepted or applied within information science. It would seem that information scientists, while appreciating the potential value of a classification of relationships, have found all previous classifications to be too complicated in application relative to the benefits they provide. This paper begins by reviewing previous attempts and drawing lessons from these. It then surveys a range of sources within and beyond the field of knowledge organization that can together provide the basis for the development of a novel classification of relationships. One critical insight is that relationships governing causation/influence should be accorded priority.

0.0020821756 = product of:
  0.008328702 = sum of:
    0.008328702 = weight(_text_:information in 1923) [ClassicSimilarity], result of:
      0.008328702 = score(doc=1923,freq=2.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.13576832 = fieldWeight in 1923, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1923)
  0.25 = coord(1/4)

Abstract

This paper develops a classification of relationships among things, with many potential uses within information science. Unlike previous classifications of relationships, it is hoped that this classification will provide benefits that exceed the costs of application. The major theoretical innovation is to stress the importance of causal relationships, albeit not exclusively. The paper also stresses the advantages of using compounds of simpler terms: verbs compounded with other verbs, adverbs, or things. The classification builds upon a review of the previous literature and a broad inductive survey of potential sources in a recent article in this journal. The result is a classification that is both manageable in size and easy to apply and yet encompasses all of the relationships necessary for classifying documents or even ideas.

0.0020821756 = product of:
  0.008328702 = sum of:
    0.008328702 = weight(_text_:information in 4792) [ClassicSimilarity], result of:
      0.008328702 = score(doc=4792,freq=2.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.13576832 = fieldWeight in 4792, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4792)
  0.25 = coord(1/4)

Abstract

Moderne Verfahren des Information Retrieval verlangen nach aussagekräftigen und detailliert relationierten Dokumentationssprachen. Der selektive Transfer einzelner Modellierungsstrategien aus dem Bereich semantischer Technologien für die Gestaltung und Relationierung bestehender Dokumentationssprachen wird diskutiert. In Form einer Taxonomie wird ein hierarchisch strukturiertes Relationeninventar definiert, welches sowohl hinreichend allgemeine als auch zahlreiche spezifische Relationstypen enthält, die eine detaillierte und damit aussagekräftige Relationierung des Vokabulars ermöglichen. Das bringt einen Zugewinn an Übersichtlichkeit und Funktionalität. Im Gegensatz zu anderen Ansätzen und Überlegungen zur Schaffung von Relationeninventaren entwickelt der vorgestellte Vorschlag das Relationeninventar aus der Begriffsmenge eines bestehenden Gegenstandsbereichs heraus.

0.0020608194 = product of:
  0.008243278 = sum of:
    0.008243278 = weight(_text_:information in 78) [ClassicSimilarity], result of:
      0.008243278 = score(doc=78,freq=6.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.1343758 = fieldWeight in 78, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.03125 = fieldNorm(doc=78)
  0.25 = coord(1/4)

Abstract

The purpose of this paper, which increases and deepens what was expressed in a previous work (Mazzocchi et al., 2007), is to scrutinize the underlying assumptions of the types of relations included in thesauri, particularly the genus-species relation. Logicist approaches to information organization, which are still dominant, will be compared with hermeneutically oriented approaches. In the light of these approaches, the nature and features of the relations, and what the notion of a priori could possibly mean with regard to them, are examined, together with the implications for designing and implementing knowledge organizations systems (KOS). Design/methodology/approach The inquiry is based on how the relations are described in literature, engaging in particular a discussion with Hjørland (2015) and Svenonius (2004). The philosophical roots of today's leading views are briefly illustrated, in order to put them under perspective and deconstruct the uncritical reception of their authority. To corroborate the discussion a semantic analysis of specific terms and relations is provided too. Findings All relations should be seen as "perspectival" (not as a priori). On the other hand, different types of relations, depending on the conceptual features of the terms involved, can hold a different degree of "stability." On this basis, they could be used to address different information concerns (e.g. interoperability vs expressiveness). Research limitations/implications Some arguments that the paper puts forth at the conceptual level need to be tested in application contexts. Originality/value This paper considers that the standpoint of logic and of hermeneutic (usually seen as conflicting) are both significant for information organization, and could be pragmatically integrated. In accordance with this view, an extension of thesaurus relations' set is advised, meaning that perspective hierarchical relations (i.e. relations that are not logically based but function contingently) should be also included in such a set.