Search (248 results, page 1 of 13)

  • × theme_ss:"Konzeption und Anwendung des Prinzips Thesaurus"
  1. Keyser, P. de: Indexing : from thesauri to the Semantic Web (2012) 0.02
    0.021351807 = product of:
      0.08540723 = sum of:
        0.05932602 = weight(_text_:web in 3197) [ClassicSimilarity], result of:
          0.05932602 = score(doc=3197,freq=12.0), product of:
            0.111951075 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.03430388 = queryNorm
            0.5299281 = fieldWeight in 3197, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.046875 = fieldNorm(doc=3197)
        0.012138106 = weight(_text_:information in 3197) [ClassicSimilarity], result of:
          0.012138106 = score(doc=3197,freq=6.0), product of:
            0.060219705 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.03430388 = queryNorm
            0.20156369 = fieldWeight in 3197, 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=3197)
        0.013943106 = product of:
          0.027886212 = sum of:
            0.027886212 = weight(_text_:22 in 3197) [ClassicSimilarity], result of:
              0.027886212 = score(doc=3197,freq=2.0), product of:
                0.120126344 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.03430388 = queryNorm
                0.23214069 = fieldWeight in 3197, 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=3197)
          0.5 = coord(1/2)
      0.25 = coord(3/12)
    
    Abstract
    Indexing consists of both novel and more traditional techniques. Cutting-edge indexing techniques, such as automatic indexing, ontologies, and topic maps, were developed independently of older techniques such as thesauri, but it is now recognized that these older methods also hold expertise. Indexing describes various traditional and novel indexing techniques, giving information professionals and students of library and information sciences a broad and comprehensible introduction to indexing. This title consists of twelve chapters: an Introduction to subject readings and theasauri; Automatic indexing versus manual indexing; Techniques applied in automatic indexing of text material; Automatic indexing of images; The black art of indexing moving images; Automatic indexing of music; Taxonomies and ontologies; Metadata formats and indexing; Tagging; Topic maps; Indexing the web; and The Semantic Web.
    Date
    24. 8.2016 14:03:22
    RSWK
    Semantic Web
    Series
    Chandos information professional series
    Subject
    Semantic Web
    Theme
    Semantic Web
  2. Martínez-González, M.M.; Alvite-Díez, M.L.: Thesauri and Semantic Web : discussion of the evolution of thesauri toward their integration with the Semantic Web (2019) 0.02
    0.021296874 = product of:
      0.085187495 = sum of:
        0.06054936 = weight(_text_:web in 5997) [ClassicSimilarity], result of:
          0.06054936 = score(doc=5997,freq=18.0), product of:
            0.111951075 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.03430388 = queryNorm
            0.5408555 = fieldWeight in 5997, product of:
              4.2426405 = tf(freq=18.0), with freq of:
                18.0 = termFreq=18.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5997)
        0.0058399485 = weight(_text_:information in 5997) [ClassicSimilarity], result of:
          0.0058399485 = score(doc=5997,freq=2.0), product of:
            0.060219705 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.03430388 = queryNorm
            0.09697737 = fieldWeight in 5997, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5997)
        0.018798191 = weight(_text_:system in 5997) [ClassicSimilarity], result of:
          0.018798191 = score(doc=5997,freq=2.0), product of:
            0.10804188 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.03430388 = queryNorm
            0.17398985 = fieldWeight in 5997, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5997)
      0.25 = coord(3/12)
    
    Abstract
    Thesauri are Knowledge Organization Systems (KOS), that arise from the consensus of wide communities. They have been in use for many years and are regularly updated. Whereas in the past thesauri were designed for information professionals for indexing and searching, today there is a demand for conceptual vocabularies that enable inferencing by machines. The development of the Semantic Web has brought a new opportunity for thesauri, but thesauri also face the challenge of proving that they add value to it. The evolution of thesauri toward their integration with the Semantic Web is examined. Elements and structures in the thesaurus standard, ISO 25964, and SKOS (Simple Knowledge Organization System), the Semantic Web standard for representing KOS, are reviewed and compared. Moreover, the integrity rules of thesauri are contrasted with the axioms of SKOS. How SKOS has been applied to represent some real thesauri is taken into account. Three thesauri are chosen for this aim: AGROVOC, EuroVoc and the UNESCO Thesaurus. Based on the results of this comparison and analysis, the benefits that Semantic Web technologies offer to thesauri, how thesauri can contribute to the Semantic Web, and the challenges that would help to improve their integration with the Semantic Web are discussed.
    Theme
    Semantic Web
  3. Martín-Moncunill, D.; García-Barriocanal, E.; Sicilia, M.-A.; Sánchez-Alonso, S.: Evaluating the practical applicability of thesaurus-based keyphrase extraction in the agricultural domain : insights from the VOA3R project (2015) 0.02
    0.02028269 = product of:
      0.12169614 = sum of:
        0.0058399485 = weight(_text_:information in 2106) [ClassicSimilarity], result of:
          0.0058399485 = score(doc=2106,freq=2.0), product of:
            0.060219705 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.03430388 = queryNorm
            0.09697737 = fieldWeight in 2106, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2106)
        0.115856186 = weight(_text_:extraction in 2106) [ClassicSimilarity], result of:
          0.115856186 = score(doc=2106,freq=6.0), product of:
            0.20380433 = queryWeight, product of:
              5.941145 = idf(docFreq=315, maxDocs=44218)
              0.03430388 = queryNorm
            0.56846774 = fieldWeight in 2106, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              5.941145 = idf(docFreq=315, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2106)
      0.16666667 = coord(2/12)
    
    Abstract
    The use of Knowledge Organization Systems (KOSs) in aggregated metadata collections facilitates the implementation of search mechanisms operating on the same term or keyphrase space, thus preparing the ground for improved browsing, more accurate retrieval and better user profiling. Automatic thesaurus-based keyphrase extraction appears to be an inexpensive tool to obtain this information, but the studies on its effectiveness are scattered and do not consider the practical applicability of these techniques compared to the quality obtained by involving human experts. This paper presents an evaluation of keyphrase extraction using the KEA software and the AGROVOC vocabulary on a sample of a large collection of metadata in the field of agriculture from the AGRIS database. This effort includes a double evaluation, the classical automatic evaluation based on precision and recall measures, plus a blind evaluation aimed to contrast the quality of the keyphrases extracted against expert-provided samples and against the keyphrases originally recorded in the metadata. Results show not only that KEA outperforms humans in matching the original keyphrases, but also that the quality of the keyphrases extracted was similar to those provided by humans.
  4. Sarre, F.; Güntzer, U.; Myka, A.; Jüttner, G.: Maschinelles Lernen von Relationen für Thesauri und Hypertext (1992) 0.02
    0.019931946 = product of:
      0.079727784 = sum of:
        0.0058399485 = weight(_text_:information in 1368) [ClassicSimilarity], result of:
          0.0058399485 = score(doc=1368,freq=2.0), product of:
            0.060219705 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.03430388 = queryNorm
            0.09697737 = fieldWeight in 1368, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1368)
        0.047303177 = weight(_text_:suche in 1368) [ClassicSimilarity], result of:
          0.047303177 = score(doc=1368,freq=2.0), product of:
            0.17138755 = queryWeight, product of:
              4.996156 = idf(docFreq=812, maxDocs=44218)
              0.03430388 = queryNorm
            0.27600124 = fieldWeight in 1368, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.996156 = idf(docFreq=812, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1368)
        0.026584659 = weight(_text_:system in 1368) [ClassicSimilarity], result of:
          0.026584659 = score(doc=1368,freq=4.0), product of:
            0.10804188 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.03430388 = queryNorm
            0.24605882 = fieldWeight in 1368, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1368)
      0.25 = coord(3/12)
    
    Abstract
    Fortschrittliche Informationssysteme stellen ihren Benutzern 2 wichtige Suchmethoden zur Verfügung: die gezielte (Volltext-) Suche und das Navigieren im Objektbestand mit Hilfe von Hypertext-Links. Der Grund, warum diese beiden Konzepte aber auf breiter Basis noch nicht in jedem Informationssystem Anwendung gefunden haben, ist darin zu sehen, daß der manuelle Aufbau von umfassenden Hypertext-Strukturen auf der einen Seite und von großen Thesauri, die den Erfolg von Volltextsuchen wesentlich steigern, auf der anderen Seite bislang enormen Aufwand und damit hohe Kosten verursachte. Langfristig werden Informationssysteme aber nur dann große Akzeptanz bei der Benutzerschaft erzielen, wenn sie ihre Benutzer mit diesen beiden Techniken unterstützen und wenn sie dynamisch neuen Informationsbedürfnissen anpassen können, also lernfähig sind. Für den einzelnen Benutzer ergibt sich daraus der wesentliche Vorteil, daß er von den Recherche-Erfahrungen anderer Benutzer profitieren kann. In diesem Papier stellen wir eine Lernkomponente vor, die für das Hypertextsystem 'HyperMan' an der TU München entwickelt und implementiert wurde. Wir zeigen beispielhaft, wie Volltext-Suchanfragen der HyperMan-Benutzer von der Lernkomponente untersucht werden, um Thesauruseinträge zu gewinnen. Bei der Entwicklung dieser Lerntechniken zum (automatischen) Thesaurusaufbau konnte auf Erfahrungen mit dem lernfähigen Information Retrieval System 'Tegen' zurückgegriffen werden. In dem HyperMan System werden aber nicht nur Beziehungen (Relationen) zwischen Begriffen erlernt, sondern auch zwischen Textstücken. Wir gehen daher auch darauf ein, wie aufgrund einer Analyse des Benutzerverhaltens sowohl neue Hypertext-Links erlernt als auch vorhandene Links, die zuvor von HyperMans Generierungskomponente automatisch erzeugt wurden, modifiziert werden
  5. Busch, D.: Organisation eines Thesaurus für die Unterstützung der mehrsprachigen Suche in einer bibliographischen Datenbank im Bereich Planen und Bauen (2016) 0.02
    0.018900758 = product of:
      0.11340454 = sum of:
        0.094606355 = weight(_text_:suche in 3308) [ClassicSimilarity], result of:
          0.094606355 = score(doc=3308,freq=8.0), product of:
            0.17138755 = queryWeight, product of:
              4.996156 = idf(docFreq=812, maxDocs=44218)
              0.03430388 = queryNorm
            0.5520025 = fieldWeight in 3308, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              4.996156 = idf(docFreq=812, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3308)
        0.018798191 = weight(_text_:system in 3308) [ClassicSimilarity], result of:
          0.018798191 = score(doc=3308,freq=2.0), product of:
            0.10804188 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.03430388 = queryNorm
            0.17398985 = fieldWeight in 3308, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3308)
      0.16666667 = coord(2/12)
    
    Abstract
    Das Problem der mehrsprachigen Suche gewinnt in der letzten Zeit immer mehr an Bedeutung, da viele nützliche Fachinformationen in der Welt in verschiedenen Sprachen publiziert werden. RSWBPlus ist eine bibliographische Datenbank zum Nachweis der Fachliteratur im Bereich Planen und Bauen, welche deutsch- und englischsprachige Metadaten-Einträge enthält. Bis vor Kurzem war es problematisch Einträge zu finden, deren Sprache sich von der Anfragesprache unterschied. Zum Beispiel fand man auf deutschsprachige Anfragen nur deutschsprachige Einträge, obwohl die Datenbank auch potenziell nützliche englischsprachige Einträge enthielt. Um das Problem zu lösen, wurde nach einer Untersuchung bestehender Ansätze, die RSWBPlus weiterentwickelt, um eine mehrsprachige (sprachübergreifende) Suche zu unterstützen, welche unter Einbeziehung eines zweisprachigen begriffbasierten Thesaurus erfolgt. Der Thesaurus wurde aus bereits bestehenden Thesauri automatisch gebildet. Die Einträge der Quell-Thesauri wurden in SKOS-Format (Simple Knowledge Organisation System) umgewandelt, automatisch miteinander vereinigt und schließlich in einen Ziel-Thesaurus eingespielt, der ebenfalls in SKOS geführt wird. Für den Zugriff zum Ziel-Thesaurus werden Apache Jena und MS SQL Server verwendet. Bei der mehrsprachigen Suche werden Terme der Anfrage durch entsprechende Übersetzungen und Synonyme in Deutsch und Englisch erweitert. Die Erweiterung der Suchterme kann sowohl in der Laufzeit, als auch halbautomatisch erfolgen. Das verbesserte Recherchesystem kann insbesondere deutschsprachigen Benutzern helfen, relevante englischsprachige Einträge zu finden. Die Verwendung vom SKOS erhöht die Interoperabilität der Thesauri, vereinfacht das Bilden des Ziel-Thesaurus und den Zugriff zu seinen Einträgen.
  6. Thesaurus software (2001) 0.02
    0.016534086 = product of:
      0.066136345 = sum of:
        0.02825637 = weight(_text_:web in 6773) [ClassicSimilarity], result of:
          0.02825637 = score(doc=6773,freq=2.0), product of:
            0.111951075 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.03430388 = queryNorm
            0.25239927 = fieldWeight in 6773, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0546875 = fieldNorm(doc=6773)
        0.0115625085 = weight(_text_:information in 6773) [ClassicSimilarity], result of:
          0.0115625085 = score(doc=6773,freq=4.0), product of:
            0.060219705 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.03430388 = queryNorm
            0.1920054 = fieldWeight in 6773, 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=6773)
        0.026317468 = weight(_text_:system in 6773) [ClassicSimilarity], result of:
          0.026317468 = score(doc=6773,freq=2.0), product of:
            0.10804188 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.03430388 = queryNorm
            0.2435858 = fieldWeight in 6773, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.0546875 = fieldNorm(doc=6773)
      0.25 = coord(3/12)
    
    Abstract
    Members offer comments and suggest resources on programs for creating, maintaining, and publishing thesauri. Formerly a tool for writers and indexers, the thesaurus has taken on a new role as an essential component of the corporate information infrastructure. Many people are using word processor or database programs to create and maintain thesauri, while others are using specialized tools that perform consistency checks and offer special reporting capabilities. Some also use thesaurus modules integrated into another application, such as web publishing, content management, or e-commerce. This article includes material comes from our own experience, email responses from members, and comments from participants in our seminars and roundtables. There's also an introduction to thesauri in a corporate information management system
  7. Broughton, V.: Essential thesaurus construction (2006) 0.02
    0.016146928 = product of:
      0.048440784 = sum of:
        0.008073248 = weight(_text_:web in 2924) [ClassicSimilarity], result of:
          0.008073248 = score(doc=2924,freq=2.0), product of:
            0.111951075 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.03430388 = queryNorm
            0.07211407 = fieldWeight in 2924, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.015625 = fieldNorm(doc=2924)
        0.008422493 = weight(_text_:information in 2924) [ClassicSimilarity], result of:
          0.008422493 = score(doc=2924,freq=26.0), product of:
            0.060219705 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.03430388 = queryNorm
            0.13986275 = fieldWeight in 2924, product of:
              5.0990195 = tf(freq=26.0), with freq of:
                26.0 = termFreq=26.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.015625 = fieldNorm(doc=2924)
        0.018921271 = weight(_text_:suche in 2924) [ClassicSimilarity], result of:
          0.018921271 = score(doc=2924,freq=2.0), product of:
            0.17138755 = queryWeight, product of:
              4.996156 = idf(docFreq=812, maxDocs=44218)
              0.03430388 = queryNorm
            0.1104005 = fieldWeight in 2924, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.996156 = idf(docFreq=812, maxDocs=44218)
              0.015625 = fieldNorm(doc=2924)
        0.0130237695 = weight(_text_:system in 2924) [ClassicSimilarity], result of:
          0.0130237695 = score(doc=2924,freq=6.0), product of:
            0.10804188 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.03430388 = queryNorm
            0.12054371 = fieldWeight in 2924, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.015625 = fieldNorm(doc=2924)
      0.33333334 = coord(4/12)
    
    Abstract
    Many information professionals working in small units today fail to find the published tools for subject-based organization that are appropriate to their local needs, whether they are archivists, special librarians, information officers, or knowledge or content managers. Large established standards for document description and organization are too unwieldy, unnecessarily detailed, or too expensive to install and maintain. In other cases the available systems are insufficient for a specialist environment, or don't bring things together in a helpful way. A purpose built, in-house system would seem to be the answer, but too often the skills necessary to create one are lacking. This practical text examines the criteria relevant to the selection of a subject-management system, describes the characteristics of some common types of subject tool, and takes the novice step by step through the process of creating a system for a specialist environment. The methodology employed is a standard technique for the building of a thesaurus that incidentally creates a compatible classification or taxonomy, both of which may be used in a variety of ways for document or information management. Key areas covered are: What is a thesaurus? Tools for subject access and retrieval; what a thesaurus is used for? Why use a thesaurus? Examples of thesauri; the structure of a thesaurus; thesaural relationships; practical thesaurus construction; the vocabulary of the thesaurus; building the systematic structure; conversion to alphabetic format; forms of entry in the thesaurus; maintaining the thesaurus; thesaurus software; and; the wider environment. Essential for the practising information professional, this guide is also valuable for students of library and information science.
    Footnote
    Rez. in: Mitt. VÖB 60(2007) H.1, S.98-101 (O. Oberhauser): "Die Autorin von Essential thesaurus construction (and essential taxonomy construction, so der implizite Untertitel, vgl. S. 1) ist durch ihre Lehrtätigkeit an der bekannten School of Library, Archive and Information Studies des University College London und durch ihre bisherigen Publikationen auf den Gebieten (Facetten-)Klassifikation und Thesaurus fachlich einschlägig ausgewiesen. Nach Essential classification liegt nun ihr Thesaurus-Lehrbuch vor, mit rund 200 Seiten Text und knapp 100 Seiten Anhang ein handliches Werk, das seine Genese zum Grossteil dem Lehrbetrieb verdankt, wie auch dem kurzen Einleitungskapitel zu entnehmen ist. Das Buch ist der Schule von Jean Aitchison et al. verpflichtet und wendet sich an "the indexer" im weitesten Sinn, d.h. an alle Personen, die ein strukturiertes, kontrolliertes Fachvokabular für die Zwecke der sachlichen Erschliessung und Suche erstellen wollen bzw. müssen. Es möchte dieser Zielgruppe das nötige methodische Rüstzeug für eine solche Aufgabe vermitteln, was einschliesslich der Einleitung und der Schlussbemerkungen in zwanzig Kapiteln geschieht - eine ansprechende Strukturierung, die ein wohldosiertes Durcharbeiten möglich macht. Zu letzterem tragen auch die von der Autorin immer wieder gestellten Übungsaufgaben bei (Lösungen jeweils am Kapitelende). Zu Beginn der Darstellung wird der "information retrieval thesaurus" von dem (zumindest im angelsächsischen Raum) weit öfter mit dem Thesaurusbegriff assoziierten "reference thesaurus" abgegrenzt, einem nach begrifflicher Ähnlichkeit angeordneten Synonymenwörterbuch, das gerne als Mittel zur stilistischen Verbesserung beim Abfassen von (wissenschaftlichen) Arbeiten verwendet wird. Ohne noch ins Detail zu gehen, werden optische Erscheinungsform und Anwendungsgebiete von Thesauren vorgestellt, der Thesaurus als postkoordinierte Indexierungssprache erläutert und seine Nähe zu facettierten Klassifikationssystemen erwähnt. In der Folge stellt Broughton die systematisch organisierten Systeme (Klassifikation/ Taxonomie, Begriffs-/Themendiagramme, Ontologien) den alphabetisch angeordneten, wortbasierten (Schlagwortlisten, thesaurusartige Schlagwortsysteme und Thesauren im eigentlichen Sinn) gegenüber, was dem Leser weitere Einordnungshilfen schafft. Die Anwendungsmöglichkeiten von Thesauren als Mittel der Erschliessung (auch als Quelle für Metadatenangaben bei elektronischen bzw. Web-Dokumenten) und der Recherche (Suchformulierung, Anfrageerweiterung, Browsing und Navigieren) kommen ebenso zur Sprache wie die bei der Verwendung natürlichsprachiger Indexierungssysteme auftretenden Probleme. Mit Beispielen wird ausdrücklich auf die mehr oder weniger starke fachliche Spezialisierung der meisten dieser Vokabularien hingewiesen, wobei auch Informationsquellen über Thesauren (z.B. www.taxonomywarehouse.com) sowie Thesauren für nicht-textuelle Ressourcen kurz angerissen werden.
    In einem abschliessenden Kapitel geht das Buch auf Thesauruspflege und -verwaltung ein, wobei auch das Thema "Thesaurussoftware" angerissen wird - letzteres vielleicht ein wenig zu kurz. Erst hier mag manchem unbefangenen Leser bewusst werden, dass die in den vorhergehenden Kapiteln dargestellte Methodik eigentlich ohne den Einsatz dezidierter Software besprochen wurde, ja vielleicht auch so besprochen werden musste, um ein entsprechendes Verständnis herzustellen. In der nachfolgenden zweiseitigen Conclusio wird erwähnt, dass die britische Norm Structured Vocabularies for Information Retrieval (BS 8723) vor einer Neufassung stehe - was den Rezensenten darauf hinzuweisen gemahnt, dass sich dieses Buch natürlich ausschliesslich auf den anglo-amerikanischen Sprachraum und die dort geltenden Thesaurus-Gepflogenheiten bezieht. Der relativ umfangreiche Anhang beinhaltet ausser Materialie zum erwähnten Demonstrationsbeispiel auch ein nützliches Glossarium sowie ein professionell gefertigtes Sachregister. Literaturhinweise werden - in sparsamer Dosierung - jeweils am Ende der einzelnen Kapitel gegeben, sodass sich die "Bibliography" am Ende des Buches auf einige Normen und zwei Standardwerke beschränken kann. Realistisch betrachtet, darf vermutlich nicht davon ausgegangen werden, dass Leser, die dieses Buch durchgearbeitet haben, sogleich in der Lage sein werden, eigenständig einen Thesaurus zu erstellen. Ein Lehrbuch allein kann weder einen Kurs noch die praktische Erfahrung ersetzen, die für eine solche Tätigkeit vonnöten sind. Ich kann mir aber gut vorstellen, dass die Kenntnis der in diesem Buch vermittelten Inhalte sehr wohl in die Lage versetzt, in einem Team, das einen Thesaurus erstellen soll, kompetent mitzuarbeiten, mit den Konzepten und Fachtermini zurechtzukommen und selbst konstruktive Beiträge zu leisten. Ausserdem erscheint mir das Werk hervorragend als Begleitmaterial zu einer Lehrveranstaltung geeignet - oder auch als Grundlage für die Planung einer solchen. Ein britischer Einführungstext eben, im besten Sinne."
    Weitere Rez. in: New Library World 108(2007) nos.3/4, S.190-191 (K.V. Trickey): "Vanda has provided a very useful work that will enable any reader who is prepared to follow her instruction to produce a thesaurus that will be a quality language-based subject access tool that will make the task of information retrieval easier and more effective. Once again I express my gratitude to Vanda for producing another excellent book." - Electronic Library 24(2006) no.6, S.866-867 (A.G. Smith): "Essential thesaurus construction is an ideal instructional text, with clear bullet point summaries at the ends of sections, and relevant and up to date references, putting thesauri in context with the general theory of information retrieval. But it will also be a valuable reference for any information professional developing or using a controlled vocabulary." - KO 33(2006) no.4, S.215-216 (M.P. Satija)
    LCSH
    Information organization
    Subject
    Information organization
  8. Crouch, C.J.: ¬An approach to the automatic construction of global thesauri (1990) 0.01
    0.013536734 = product of:
      0.054146934 = sum of:
        0.0115625085 = weight(_text_:information in 4042) [ClassicSimilarity], result of:
          0.0115625085 = score(doc=4042,freq=4.0), product of:
            0.060219705 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.03430388 = queryNorm
            0.1920054 = fieldWeight in 4042, 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=4042)
        0.026317468 = weight(_text_:system in 4042) [ClassicSimilarity], result of:
          0.026317468 = score(doc=4042,freq=2.0), product of:
            0.10804188 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.03430388 = queryNorm
            0.2435858 = fieldWeight in 4042, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.0546875 = fieldNorm(doc=4042)
        0.016266957 = product of:
          0.032533914 = sum of:
            0.032533914 = weight(_text_:22 in 4042) [ClassicSimilarity], result of:
              0.032533914 = score(doc=4042,freq=2.0), product of:
                0.120126344 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.03430388 = queryNorm
                0.2708308 = fieldWeight in 4042, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=4042)
          0.5 = coord(1/2)
      0.25 = coord(3/12)
    
    Abstract
    The benefits of a well constructed thesaurus to an information retrieval system have long been recognised by both researchers and practitioners in the field. Examines both early and current approaches to automatic thesaurus construction and describes an approach to the automatic generation of global thesauri based on the term discrimination value model of Salton Yang, and Yu and on an appropriate clustering algorithm. This method has been implemented and applied to 2 document collections. Preliminary results indicate that this method, which produces improvements in retrieval performance in excess of 10 and 15% in the test collections, is viable and worthy of continued investigation.
    Date
    22. 4.1996 3:39:53
    Source
    Information processing and management. 26(1990), no.5, S.629-640
  9. Klein, H.: GENIOS jetzt mit Thesaurus-Suche (1993) 0.01
    0.012614181 = product of:
      0.15137017 = sum of:
        0.15137017 = weight(_text_:suche in 7537) [ClassicSimilarity], result of:
          0.15137017 = score(doc=7537,freq=2.0), product of:
            0.17138755 = queryWeight, product of:
              4.996156 = idf(docFreq=812, maxDocs=44218)
              0.03430388 = queryNorm
            0.883204 = fieldWeight in 7537, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.996156 = idf(docFreq=812, maxDocs=44218)
              0.125 = fieldNorm(doc=7537)
      0.083333336 = coord(1/12)
    
  10. Wang, J.: Automatic thesaurus development : term extraction from title metadata (2006) 0.01
    0.012121591 = product of:
      0.07272954 = sum of:
        0.0058399485 = weight(_text_:information in 5063) [ClassicSimilarity], result of:
          0.0058399485 = score(doc=5063,freq=2.0), product of:
            0.060219705 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.03430388 = queryNorm
            0.09697737 = fieldWeight in 5063, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5063)
        0.06688959 = weight(_text_:extraction in 5063) [ClassicSimilarity], result of:
          0.06688959 = score(doc=5063,freq=2.0), product of:
            0.20380433 = queryWeight, product of:
              5.941145 = idf(docFreq=315, maxDocs=44218)
              0.03430388 = queryNorm
            0.32820496 = fieldWeight in 5063, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.941145 = idf(docFreq=315, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5063)
      0.16666667 = coord(2/12)
    
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.7, S.907-920
  11. Tseng, Y.-H.: Automatic thesaurus generation for Chinese documents (2002) 0.01
    0.012121591 = product of:
      0.07272954 = sum of:
        0.0058399485 = weight(_text_:information in 5226) [ClassicSimilarity], result of:
          0.0058399485 = score(doc=5226,freq=2.0), product of:
            0.060219705 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.03430388 = queryNorm
            0.09697737 = fieldWeight in 5226, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5226)
        0.06688959 = weight(_text_:extraction in 5226) [ClassicSimilarity], result of:
          0.06688959 = score(doc=5226,freq=2.0), product of:
            0.20380433 = queryWeight, product of:
              5.941145 = idf(docFreq=315, maxDocs=44218)
              0.03430388 = queryNorm
            0.32820496 = fieldWeight in 5226, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.941145 = idf(docFreq=315, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5226)
      0.16666667 = coord(2/12)
    
    Abstract
    Tseng constructs a word co-occurrence based thesaurus by means of the automatic analysis of Chinese text. Words are identified by a longest dictionary match supplemented by a key word extraction algorithm that merges back nearby tokens and accepts shorter strings of characters if they occur more often than the longest string. Single character auxiliary words are a major source of error but this can be greatly reduced with the use of a 70-character 2680 word stop list. Extracted terms with their associate document weights are sorted by decreasing frequency and the top of this list is associated using a Dice coefficient modified to account for longer documents on the weights of term pairs. Co-occurrence is not in the document as a whole but in paragraph or sentence size sections in order to reduce computation time. A window of 29 characters or 11 words was found to be sufficient. A thesaurus was produced from 25,230 Chinese news articles and judges asked to review the top 50 terms associated with each of 30 single word query terms. They determined 69% to be relevant.
    Source
    Journal of the American Society for Information Science and technology. 53(2002) no.13, S.1130-1138
  12. McMath, C.F.; Tamaru, R.S.; Rada, R.: ¬A graphical thesaurus-based information retrieval system (1989) 0.01
    0.011497798 = product of:
      0.06898679 = sum of:
        0.016351856 = weight(_text_:information in 4819) [ClassicSimilarity], result of:
          0.016351856 = score(doc=4819,freq=2.0), product of:
            0.060219705 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.03430388 = queryNorm
            0.27153665 = fieldWeight in 4819, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.109375 = fieldNorm(doc=4819)
        0.052634936 = weight(_text_:system in 4819) [ClassicSimilarity], result of:
          0.052634936 = score(doc=4819,freq=2.0), product of:
            0.10804188 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.03430388 = queryNorm
            0.4871716 = fieldWeight in 4819, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.109375 = fieldNorm(doc=4819)
      0.16666667 = coord(2/12)
    
  13. Zeng, M.L.; Chen, Y.: Features of an integrated thesaurus management and search system for the networked environment (2003) 0.01
    0.011170596 = product of:
      0.067023575 = sum of:
        0.008175928 = weight(_text_:information in 3817) [ClassicSimilarity], result of:
          0.008175928 = score(doc=3817,freq=2.0), product of:
            0.060219705 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.03430388 = queryNorm
            0.13576832 = fieldWeight in 3817, 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=3817)
        0.058847647 = weight(_text_:system in 3817) [ClassicSimilarity], result of:
          0.058847647 = score(doc=3817,freq=10.0), product of:
            0.10804188 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.03430388 = queryNorm
            0.5446744 = fieldWeight in 3817, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.0546875 = fieldNorm(doc=3817)
      0.16666667 = coord(2/12)
    
    Abstract
    Reports an integrated system that employs an open structure for managing the distributed resources (thesauri and databases) and integrates a thesaurus management system with a crossthesaurus search system. Describes the functions of the system that highlight the unique design for the networked environment.
    Source
    Subject retrieval in a networked environment: Proceedings of the IFLA Satellite Meeting held in Dublin, OH, 14-16 August 2001 and sponsored by the IFLA Classification and Indexing Section, the IFLA Information Technology Section and OCLC. Ed.: I.C. McIlwaine
  14. Rodrigues Barbosa, E.; Godoy Viera, A.F.: Relações semânticas e interoperabilidade em tesauros representados em SKOS : uma revisao sistematica da literatura (2022) 0.01
    0.011025581 = product of:
      0.06615348 = sum of:
        0.03425189 = weight(_text_:web in 254) [ClassicSimilarity], result of:
          0.03425189 = score(doc=254,freq=4.0), product of:
            0.111951075 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.03430388 = queryNorm
            0.3059541 = fieldWeight in 254, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.046875 = fieldNorm(doc=254)
        0.031901587 = weight(_text_:system in 254) [ClassicSimilarity], result of:
          0.031901587 = score(doc=254,freq=4.0), product of:
            0.10804188 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.03430388 = queryNorm
            0.29527056 = fieldWeight in 254, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.046875 = fieldNorm(doc=254)
      0.16666667 = coord(2/12)
    
    Abstract
    Objetivo: Este estudo tem como objetivo compreender como o modelo de dados Simple Knowledge Organization System e seus modelos de extensão tem sido utilizado para promover a interoperabilidade com outros vocabulários e refinar as relações semânticas em tesauros na web. Metodologia: Utiliza a pesquisa documental nos guias de referência dos modelos de dados utilizados para representar os tesauros na web. Resultados: os modelos de dados têm sido utilizados para representar os termos e suas variações linguísticas, os relacionamentos entre grupos e subgrupos de conceitos, numa perspectiva intra-vocabulários, e os relacionamentos entre conceitos de vocabulários distintos, numa perspectiva inter-vocabulários. Conclusões: O uso do Simple Knowledge Organization System, e dos seus modelos de extensão contribuem para uma melhor estruturação dos conceitos em tesauros. Os modelos de extensão são apropriados para a representação dos relacionamentos de equivalência compostos, ou para a estruturação de grupos e subgrupos de conceitos em tesauros.
  15. Shiri, A.A.; Revie, C.: Thesauri on the Web : current developments and trends (2000) 0.01
    0.010882221 = product of:
      0.06529333 = sum of:
        0.048941467 = weight(_text_:web in 2558) [ClassicSimilarity], result of:
          0.048941467 = score(doc=2558,freq=6.0), product of:
            0.111951075 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.03430388 = queryNorm
            0.43716836 = fieldWeight in 2558, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2558)
        0.016351856 = weight(_text_:information in 2558) [ClassicSimilarity], result of:
          0.016351856 = score(doc=2558,freq=8.0), product of:
            0.060219705 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.03430388 = queryNorm
            0.27153665 = fieldWeight in 2558, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2558)
      0.16666667 = coord(2/12)
    
    Abstract
    This article provides an overview of recent developments relating to the application of thesauri in information organisation and retrieval on the World Wide Web. It describes some recent thesaurus projects undertaken to facilitate resource description and discovery and access to wide-ranging information resources on the Internet. Types of thesauri available on the Web, thesauri integrated in databases and information retrieval systems, and multiple-thesaurus systems for cross-database searching are also discussed. Collective efforts and events in addressing the standardisation and novel applications of thesauri are briefly reviewed.
    Source
    Online information review. 24(2000) no.4, S.273-279
  16. Johnson, E.H.: Distributed thesaurus Web services (2004) 0.01
    0.010677954 = product of:
      0.06406772 = sum of:
        0.054157 = weight(_text_:web in 4863) [ClassicSimilarity], result of:
          0.054157 = score(doc=4863,freq=10.0), product of:
            0.111951075 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.03430388 = queryNorm
            0.48375595 = fieldWeight in 4863, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.046875 = fieldNorm(doc=4863)
        0.009910721 = weight(_text_:information in 4863) [ClassicSimilarity], result of:
          0.009910721 = score(doc=4863,freq=4.0), product of:
            0.060219705 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.03430388 = queryNorm
            0.16457605 = fieldWeight in 4863, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046875 = fieldNorm(doc=4863)
      0.16666667 = coord(2/12)
    
    Abstract
    The World Wide Web and the use of HTML-based information displays has greatly increased access to online information sources, but at the same time limits the ways in which they can be used. By the same token, Web-based indexing and search engines give us access to the full text of online documents, but make it difficult to access them in any kind of organized, systematic way. For years before the advent of the Internet, lexicographers built weIl-structured subject thesauri to organize large collections of documents. These have since been converted into electronic form and even put online, but in ways that are largely uncoordinated and not useful for searching. This paper describes some of the ways in which XML-based Web services could be used to coordinate subject thesauri and other online vocabulary sources to create a "Thesauro-Web" that could be used by both searchers and indexers to improve subject access an the Internet.
  17. Shiri, A.: Powering search : the role of thesauri in new information environments (2012) 0.01
    0.010495609 = product of:
      0.06297365 = sum of:
        0.04194983 = weight(_text_:web in 1322) [ClassicSimilarity], result of:
          0.04194983 = score(doc=1322,freq=6.0), product of:
            0.111951075 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.03430388 = queryNorm
            0.37471575 = fieldWeight in 1322, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.046875 = fieldNorm(doc=1322)
        0.021023815 = weight(_text_:information in 1322) [ClassicSimilarity], result of:
          0.021023815 = score(doc=1322,freq=18.0), product of:
            0.060219705 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.03430388 = queryNorm
            0.34911853 = fieldWeight in 1322, product of:
              4.2426405 = tf(freq=18.0), with freq of:
                18.0 = termFreq=18.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046875 = fieldNorm(doc=1322)
      0.16666667 = coord(2/12)
    
    Abstract
    Powering search offers a clear and comprehensive treatment of the role of thesauri in search user interfaces across a range of information search and retrieval systems - from bibliographic and full-text databases to digital libraries, portals, open archives, and content management systems.
    Content
    Thesauri : introduction and recent developments -- Thesauri in interactive information retrieval -- User-centered approach to the evaluation of thesauri : query formulation and expansion -- Thesauri in web-based search systems -- Thesaurus-based search and browsing functionalities in new thesaurus construction standards -- Design of search user interfaces for thesauri -- Design of user interfaces for multilingual and meta-thesauri -- User-centered evaluation of thesaurus-enhanced search user interfaces -- Guidelines for the design of thesaurus-enhanced search user interfaces -- Current trends and developments.
    LCSH
    Information storage and retrieval systems
    Information retrieval
    World Wide Web
    RSWK
    Information Retrieval
    Subject
    Information Retrieval
    Information storage and retrieval systems
    Information retrieval
    World Wide Web
  18. Garshol, L.M.: Metadata? Thesauri? Taxonomies? Topic Maps! : making sense of it all (2005) 0.01
    0.009852618 = product of:
      0.059115704 = sum of:
        0.04194983 = weight(_text_:web in 4729) [ClassicSimilarity], result of:
          0.04194983 = score(doc=4729,freq=6.0), product of:
            0.111951075 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.03430388 = queryNorm
            0.37471575 = fieldWeight in 4729, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.046875 = fieldNorm(doc=4729)
        0.017165873 = weight(_text_:information in 4729) [ClassicSimilarity], result of:
          0.017165873 = score(doc=4729,freq=12.0), product of:
            0.060219705 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.03430388 = queryNorm
            0.2850541 = fieldWeight in 4729, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046875 = fieldNorm(doc=4729)
      0.16666667 = coord(2/12)
    
    Abstract
    The task of an information architect is to create web sites where users can actually find the information they are looking for. As the ocean of information rises and leaves what we seek ever more deeply buried in what we don't seek, this discipline becomes ever more relevant. Information architecture involves many different aspects of web site creation and organization, but its principal tools are information organization techniques developed in other disciplines. Most of these techniques come from library science, such as thesauri, taxonomies, and faceted classification. Topic maps are a relative newcomer to this area and bring with them the promise of better-organized web sites, compared to what is possible with existing techniques. However, it is not generally understood how topic maps relate to the traditional techniques, and what advantages and disadvantages they have, compared to these techniques. The aim of this paper is to help build a better understanding of these issues.
    Source
    Journal of information science. 30(2005) no.4, S.378-391
  19. Mu, X.; Lu, K.; Ryu, H.: Explicitly integrating MeSH thesaurus help into health information retrieval systems : an empirical user study (2014) 0.01
    0.00985075 = product of:
      0.0591045 = sum of:
        0.013058522 = weight(_text_:information in 2703) [ClassicSimilarity], result of:
          0.013058522 = score(doc=2703,freq=10.0), product of:
            0.060219705 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.03430388 = queryNorm
            0.21684799 = fieldWeight in 2703, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2703)
        0.046045978 = weight(_text_:system in 2703) [ClassicSimilarity], result of:
          0.046045978 = score(doc=2703,freq=12.0), product of:
            0.10804188 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.03430388 = queryNorm
            0.42618635 = fieldWeight in 2703, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2703)
      0.16666667 = coord(2/12)
    
    Abstract
    When consumers search for health information, a major obstacle is their unfamiliarity with the medical terminology. Even though medical thesauri such as the Medical Subject Headings (MeSH) and related tools (e.g., the MeSH Browser) were created to help consumers find medical term definitions, the lack of direct and explicit integration of these help tools into a health retrieval system prevented them from effectively achieving their objectives. To explore this issue, we conducted an empirical study with two systems: One is a simple interface system supporting query-based searching; the other is an augmented system with two new components supporting MeSH term searching and MeSH tree browsing. A total of 45 subjects were recruited to participate in the study. The results indicated that the augmented system is more effective than the simple system in terms of improving user-perceived topic familiarity and question-answer performance, even though we did not find users spend more time on the augmented system. The two new MeSH help components played a critical role in participants' health information retrieval and were found to allow them to develop new search strategies. The findings of the study enhanced our understanding of consumers' search behaviors and shed light on the design of future health information retrieval systems.
    Source
    Information processing and management. 50(2014) no.1, S.24-40
  20. Youlin, Z.; Baptista Nunes, J.M.; Zhonghua, D.: Construction and evolution of a Chinese Information Science and Information Service (CIS&IS) onto-thesaurus (2014) 0.01
    0.009815458 = product of:
      0.05889275 = sum of:
        0.019821443 = weight(_text_:information in 1376) [ClassicSimilarity], result of:
          0.019821443 = score(doc=1376,freq=16.0), product of:
            0.060219705 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.03430388 = queryNorm
            0.3291521 = fieldWeight in 1376, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046875 = fieldNorm(doc=1376)
        0.039071307 = weight(_text_:system in 1376) [ClassicSimilarity], result of:
          0.039071307 = score(doc=1376,freq=6.0), product of:
            0.10804188 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.03430388 = queryNorm
            0.36163113 = fieldWeight in 1376, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.046875 = fieldNorm(doc=1376)
      0.16666667 = coord(2/12)
    
    Abstract
    Thesauri are the most important tools for information and knowledge organization, and they undergo regular improvements according to the rapid development of new requirements and affordances of emerging information techniques. This paper attempts to integrate ontology into the conceptual organization scheme of thesauri and proposes a new solution to extend the functionality of thesauri based on ontological features, which is termed here as an onto-thesaurus. In this study, a prototype system named the Chinese Information Science and Information Service onto-thesaurus system (CIS&IS), was developed to analyze ontothesaurus with the category of information science and information service in the Chinese Topic Classification Dictionary with a two-stage approach. The first stage aims to define and construct the onto-thesaurus. The second stage aims to realize the evolution function of onto-thesaurus. The main purpose of this system was to achieve the function of self-learning and auto-evolution and to enable a much more effective conceptual retrieval by the newly proposed onto-thesaurus.

Authors

Languages

Types

  • a 204
  • el 24
  • m 11
  • x 7
  • n 6
  • s 6
  • r 4
  • b 1
  • More… Less…