Search (4 results, page 1 of 1)

  • × classification_ss:"ST 515"
  1. Abbas, J.: Structures for organizing knowledge : exploring taxonomies, ontologies, and other schemas (2010) 0.01
    0.014240801 = product of:
      0.042722404 = sum of:
        0.042722404 = product of:
          0.12816721 = sum of:
            0.12816721 = weight(_text_:objects in 480) [ClassicSimilarity], result of:
              0.12816721 = score(doc=480,freq=4.0), product of:
                0.3086582 = queryWeight, product of:
                  5.315071 = idf(docFreq=590, maxDocs=44218)
                  0.05807226 = queryNorm
                0.41523993 = fieldWeight in 480, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  5.315071 = idf(docFreq=590, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=480)
          0.33333334 = coord(1/3)
      0.33333334 = coord(1/3)
    
    Abstract
    LIS professionals use structures for organizing knowledge when they catalog and classify objects in the collection, when they develop databases, when they design customized taxonomies, or when they search online. Structures for Organizing Knowledge: Exploring Taxonomies, Ontologies, and Other Schema explores and explains this basic function by looking at three questions: 1) How do we organize objects so that they make sense and are useful? 2) What role do categories, classifications, taxonomies, and other structures play in the process of organizing? 3) What do information professionals need to know about organizing behaviors in order to design useful structures for organizing knowledge? Taking a broad, yet specialized approach that is a first in the field, this book answers those questions by examining three threads: traditional structures for organizing knowledge; personal structures for organizing knowledge; and socially-constructed structures for organizing knowledge. Through these threads, it offers avenues for expanding thinking on classification and classification schemes, taxonomy and ontology development, and structures. Both a history of the development of taxonomies and an analysis of current research, theories, and applications, this volume explores a wide array of topics, including the new digital, social aspect of taxonomy development. Examples of subjects covered include: Formal and informal structures Applications of knowledge structures Classification schemes Early taxonomists and their contributions Social networking, bookmarking, and cataloging sites Cataloging codes Standards and best practices Tags, tagging, and folksonomies Descriptive cataloging Metadata schema standards Thought exercises, references, and a list of helpful websites augment each section. A final chapter, "Thinking Ahead: Are We at a Crossroads?" uses "envisioning exercises" to help LIS professionals look into the future.
  2. Peters, I.: Folksonomies : indexing and retrieval in Web 2.0 (2009) 0.01
    0.008863624 = product of:
      0.026590873 = sum of:
        0.026590873 = product of:
          0.053181745 = sum of:
            0.053181745 = weight(_text_:indexing in 4203) [ClassicSimilarity], result of:
              0.053181745 = score(doc=4203,freq=4.0), product of:
                0.22229293 = queryWeight, product of:
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.05807226 = queryNorm
                0.23924173 = fieldWeight in 4203, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.03125 = fieldNorm(doc=4203)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Footnote
    Zugl.: Düsseldorf, Univ., Diss., 2009 u.d.T.: Peters, Isabella: Folksonomies in Wissensrepräsentation und Information Retrieval Rez. in: IWP - Information Wissenschaft & Praxis, 61(2010) Heft 8, S.469-470 (U. Spree): "... Nachdem sich die Rezensentin durch 418 Seiten Text hindurch gelesen hat, bleibt sie unentschieden, wie der auffällige Einsatz langer Zitate (im Durchschnitt drei Zitate, die länger als vier kleingedruckte Zeilen sind, pro Seite) zu bewerten ist, zumal die Zitate nicht selten rein illustrativen Charakter haben bzw. Isabella Peters noch einmal zitiert, was sie bereits in eigenen Worten ausgedrückt hat. Redundanz und Verlängerung der Lesezeit halten sich hier die Waage mit der Möglichkeit, dass sich die Leserin einen unmittelbaren Eindruck von Sprache und Duktus der zitierten Literatur verschaffen kann. Eindeutig unschön ist das Beenden eines Gedankens oder einer Argumentation durch ein Zitat (z. B. S. 170). Im deutschen Original entstehen auf diese Weise die für deutsche wissenschaftliche Qualifikationsarbeiten typischen denglischen Texte. Für alle, die sich für Wissensrepräsentation, Information Retrieval und kollaborative Informationsdienste interessieren, ist "Folksonomies : Indexing and Retrieval in Web 2.0" trotz der angeführten kleinen Mängel zur Lektüre und Anschaffung - wegen seines beinahe enzyklopädischen Charakters auch als Nachschlage- oder Referenzwerk geeignet - unbedingt zu empfehlen. Abschließend möchte ich mich in einem Punkt der Produktinfo von de Gruyter uneingeschränkt anschließen: ein "Grundlagenwerk für Folksonomies".
  3. Weller, K.: Knowledge representation in the Social Semantic Web (2010) 0.01
    0.0077556716 = product of:
      0.023267014 = sum of:
        0.023267014 = product of:
          0.046534028 = sum of:
            0.046534028 = weight(_text_:indexing in 4515) [ClassicSimilarity], result of:
              0.046534028 = score(doc=4515,freq=4.0), product of:
                0.22229293 = queryWeight, product of:
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.05807226 = queryNorm
                0.20933652 = fieldWeight in 4515, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.02734375 = fieldNorm(doc=4515)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    The main purpose of this book is to sum up the vital and highly topical research issue of knowledge representation on the Web and to discuss novel solutions by combining benefits of folksonomies and Web 2.0 approaches with ontologies and semantic technologies. This book contains an overview of knowledge representation approaches in past, present and future, introduction to ontologies, Web indexing and in first case the novel approaches of developing ontologies. This title combines aspects of knowledge representation for both the Semantic Web (ontologies) and the Web 2.0 (folksonomies). Currently there is no monographic book which provides a combined overview over these topics. focus on the topic of using knowledge representation methods for document indexing purposes. For this purpose, considerations from classical librarian interests in knowledge representation (thesauri, classification schemes etc.) are included, which are not part of most other books which have a stronger background in computer science.
  4. Manning, C.D.; Raghavan, P.; Schütze, H.: Introduction to information retrieval (2008) 0.01
    0.006267529 = product of:
      0.018802587 = sum of:
        0.018802587 = product of:
          0.037605174 = sum of:
            0.037605174 = weight(_text_:indexing in 4041) [ClassicSimilarity], result of:
              0.037605174 = score(doc=4041,freq=2.0), product of:
                0.22229293 = queryWeight, product of:
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.05807226 = queryNorm
                0.16916946 = fieldWeight in 4041, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.03125 = fieldNorm(doc=4041)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Content
    Inhalt: Boolean retrieval - The term vocabulary & postings lists - Dictionaries and tolerant retrieval - Index construction - Index compression - Scoring, term weighting & the vector space model - Computing scores in a complete search system - Evaluation in information retrieval - Relevance feedback & query expansion - XML retrieval - Probabilistic information retrieval - Language models for information retrieval - Text classification & Naive Bayes - Vector space classification - Support vector machines & machine learning on documents - Flat clustering - Hierarchical clustering - Matrix decompositions & latent semantic indexing - Web search basics - Web crawling and indexes - Link analysis Vgl. die digitale Fassung unter: http://nlp.stanford.edu/IR-book/pdf/irbookprint.pdf.