Search (12 results, page 1 of 1)

0.036342062 = product of:
  0.072684124 = sum of:
    0.072684124 = sum of:
      0.037318856 = weight(_text_:retrieval in 5135) [ClassicSimilarity], result of:
        0.037318856 = score(doc=5135,freq=4.0), product of:
          0.15791564 = queryWeight, product of:
            3.024915 = idf(docFreq=5836, maxDocs=44218)
            0.052204985 = queryNorm
          0.23632148 = fieldWeight in 5135, product of:
            2.0 = tf(freq=4.0), with freq of:
              4.0 = termFreq=4.0
            3.024915 = idf(docFreq=5836, maxDocs=44218)
            0.0390625 = fieldNorm(doc=5135)
      0.035365272 = weight(_text_:22 in 5135) [ClassicSimilarity], result of:
        0.035365272 = score(doc=5135,freq=2.0), product of:
          0.18281296 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.052204985 = queryNorm
          0.19345059 = fieldWeight in 5135, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0390625 = fieldNorm(doc=5135)
  0.5 = coord(1/2)

Date

22. 3.2008 16:18:27

LCSH

Information storage and retrieval systems / Architecture

Subject

Information storage and retrieval systems / Architecture

0.02503425 = product of:
  0.0500685 = sum of:
    0.0500685 = product of:
      0.100137 = sum of:
        0.100137 = weight(_text_:retrieval in 2605) [ClassicSimilarity], result of:
          0.100137 = score(doc=2605,freq=20.0), product of:
            0.15791564 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.052204985 = queryNorm
            0.63411707 = fieldWeight in 2605, product of:
              4.472136 = tf(freq=20.0), with freq of:
                20.0 = termFreq=20.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.046875 = fieldNorm(doc=2605)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

For introductory information retrieval courses at the undergraduate and graduate level in computer science, information science and computer engineering departments. Written by a leader in the field of information retrieval, Search Engines: Information Retrieval in Practice, is designed to give undergraduate students the understanding and tools they need to evaluate, compare and modify search engines. Coverage of the underlying IR and mathematical models reinforce key concepts. The book's numerous programming exercises make extensive use of Galago, a Java-based open source search engine. SUPPLEMENTS / Extensive lecture slides (in PDF and PPT format) / Solutions to selected end of chapter problems (Instructors only) / Test collections for exercises / Galago search engine

LCSH

Information retrieval
Information Storage and Retrieval

RSWK

Suchmaschine / Information Retrieval

Subject

Suchmaschine / Information Retrieval
Information retrieval
Information Storage and Retrieval

0.020440381 = product of:
  0.040880762 = sum of:
    0.040880762 = product of:
      0.081761524 = sum of:
        0.081761524 = weight(_text_:retrieval in 4041) [ClassicSimilarity], result of:
          0.081761524 = score(doc=4041,freq=30.0), product of:
            0.15791564 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.052204985 = queryNorm
            0.51775444 = fieldWeight in 4041, product of:
              5.477226 = tf(freq=30.0), with freq of:
                30.0 = termFreq=30.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.03125 = fieldNorm(doc=4041)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Class-tested and coherent, this textbook teaches information retrieval, including web search, text classification, and text clustering from basic concepts. Ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students. Slides and additional exercises are available for lecturers. - This book provides what Salton and Van Rijsbergen both failed to achieve. Even more important, unlike some other books in IR, the authors appear to care about making the theory as accessible as possible to the reader, on occasion including short primers to certain topics or choosing to explain difficult concepts using simplified approaches. Its coverage [is] excellent, the quality of writing high and I was surprised how much I learned from reading it. I think the online resources are impressive.

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.

LCSH

Information retrieval

RSWK

Dokumentverarbeitung / Information Retrieval / Abfrageverarbeitung (GBV)
Information Retrieval / Einführung (BVB)

Subject

Dokumentverarbeitung / Information Retrieval / Abfrageverarbeitung (GBV)
Information Retrieval / Einführung (BVB)
Information retrieval

0.01770189 = product of:
  0.03540378 = sum of:
    0.03540378 = product of:
      0.07080756 = sum of:
        0.07080756 = weight(_text_:retrieval in 4332) [ClassicSimilarity], result of:
          0.07080756 = score(doc=4332,freq=10.0), product of:
            0.15791564 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.052204985 = queryNorm
            0.44838852 = fieldWeight in 4332, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.046875 = fieldNorm(doc=4332)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Das Semantic Web bezeichnet ein erweitertes World Wide Web (WWW), das die Bedeutung von präsentierten Inhalten in neuen standardisierten Sprachen wie RDF Schema und OWL modelliert. Diese Arbeit befasst sich mit dem Aspekt des Information Retrieval, d.h. es wird untersucht, in wie weit Methoden der Informationssuche sich auf modelliertes Wissen übertragen lassen. Die kennzeichnenden Merkmale von IR-Systemen wie vage Anfragen sowie die Unterstützung unsicheren Wissens werden im Kontext des Semantic Web behandelt. Im Fokus steht die Suche nach Fakten innerhalb einer Wissensdomäne, die entweder explizit modelliert sind oder implizit durch die Anwendung von Inferenz abgeleitet werden können. Aufbauend auf der an der Universität Duisburg-Essen entwickelten Retrievalmaschine PIRE wird die Anwendung unsicherer Inferenz mit probabilistischer Prädikatenlogik (pDatalog) implementiert.

Footnote

Zugl.: Dortmund, Univ., Dipl.-Arb., 2006 u.d.T.: Hüsken, Peter: Information-Retrieval im Semantic-Web.

RSWK

Information Retrieval / Semantic Web

Subject

Information Retrieval / Semantic Web

0.014751574 = product of:
  0.029503148 = sum of:
    0.029503148 = product of:
      0.059006296 = sum of:
        0.059006296 = weight(_text_:retrieval in 4063) [ClassicSimilarity], result of:
          0.059006296 = score(doc=4063,freq=10.0), product of:
            0.15791564 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.052204985 = queryNorm
            0.37365708 = fieldWeight in 4063, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4063)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

RSWK

Suchmaschine / Semantic Web / Information Retrieval
Suchmaschine / Information Retrieval / Ranking / Datenstruktur / Kontextbezogenes System

Subject

Suchmaschine / Semantic Web / Information Retrieval
Suchmaschine / Information Retrieval / Ranking / Datenstruktur / Kontextbezogenes System

Theme

Semantisches Umfeld in Indexierung u. Retrieval

0.01180126 = product of:
  0.02360252 = sum of:
    0.02360252 = product of:
      0.04720504 = sum of:
        0.04720504 = weight(_text_:retrieval in 4731) [ClassicSimilarity], result of:
          0.04720504 = score(doc=4731,freq=10.0), product of:
            0.15791564 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.052204985 = queryNorm
            0.29892567 = fieldWeight in 4731, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.03125 = fieldNorm(doc=4731)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Das Werk behandelt die aktuellen Entwicklungen zur inhaltlichen Erschließung von Informationsquellen im Internet. Topic Maps, semantische Modelle vernetzter Informationsressourcen unter Verwendung von XML bzw. HyTime, bieten alle notwendigen Modellierungskonstrukte, um Dokumente im Internet zu klassifizieren und ein assoziatives, semantisches Netzwerk über diese zu legen. Neben Einführungen in XML, XLink, XPointer sowie HyTime wird anhand von Einsatzszenarien gezeigt, wie diese neuartige Technologie für Content Management und Information Retrieval im Internet funktioniert. Der Entwurf einer Abfragesprache wird ebenso skizziert wie der Prototyp einer intelligenten Suchmaschine. Das Buch zeigt, wie Topic Maps den Weg zu semantisch gesteuerten Suchprozessen im Internet weisen.

RSWK

Internet / Information Retrieval / Semantisches Netz / HyTime
Internet / Information Retrieval / Semantisches Netz / XML

Subject

Internet / Information Retrieval / Semantisches Netz / HyTime
Internet / Information Retrieval / Semantisches Netz / XML

0.011195658 = product of:
  0.022391316 = sum of:
    0.022391316 = product of:
      0.04478263 = sum of:
        0.04478263 = weight(_text_:retrieval in 3911) [ClassicSimilarity], result of:
          0.04478263 = score(doc=3911,freq=4.0), product of:
            0.15791564 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.052204985 = queryNorm
            0.2835858 = fieldWeight in 3911, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.046875 = fieldNorm(doc=3911)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

RSWK

Suchmaschine / Information-Retrieval-System / Optimierung

Subject

Suchmaschine / Information-Retrieval-System / Optimierung

0.0074637714 = product of:
  0.014927543 = sum of:
    0.014927543 = product of:
      0.029855086 = sum of:
        0.029855086 = weight(_text_:retrieval in 1840) [ClassicSimilarity], result of:
          0.029855086 = score(doc=1840,freq=4.0), product of:
            0.15791564 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.052204985 = queryNorm
            0.18905719 = fieldWeight in 1840, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.03125 = fieldNorm(doc=1840)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

RSWK

Google / Internet / Information Retrieval / Aufsatzsammlung

Subject

Google / Internet / Information Retrieval / Aufsatzsammlung

0.0065308 = product of:
  0.0130616 = sum of:
    0.0130616 = product of:
      0.0261232 = sum of:
        0.0261232 = weight(_text_:retrieval in 493) [ClassicSimilarity], result of:
          0.0261232 = score(doc=493,freq=4.0), product of:
            0.15791564 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.052204985 = queryNorm
            0.16542503 = fieldWeight in 493, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.02734375 = fieldNorm(doc=493)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

LCSH

Information storage and retrieval systems / Architecture

Subject

Information storage and retrieval systems / Architecture

0.0057132603 = product of:
  0.0114265205 = sum of:
    0.0114265205 = product of:
      0.022853041 = sum of:
        0.022853041 = weight(_text_:retrieval in 1443) [ClassicSimilarity], result of:
          0.022853041 = score(doc=1443,freq=6.0), product of:
            0.15791564 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.052204985 = queryNorm
            0.14471677 = fieldWeight in 1443, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.01953125 = fieldNorm(doc=1443)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Footnote

Rez. in: Information - Wissenschaft und Praxis 56(2004) H.1, S.61-62 (D. Lewandowski): "Die Autoren des vorliegenden Bandes haben sich in den letzten Jahren durch ihre zahlreichen Veröffentlichungen zum Verhalten von Suchmaschinen-Nutzern einen guten Namen gemacht. Das nun erschienene Buch bietet eine Zusammenfassung der verstreut publizierten Aufsätze und stellt deren Ergebnisse in den Kontext eines umfassenderen Forschungsansatzes. Spink und Jansen verwenden zur Analyse des Nutzungsverhaltens query logs von Suchmaschinen. In diesen werden vom Server Informationen protokolliert, die die Anfragen an diesen Server betreffen. Daten, die aus diesen Dateien gewonnen werden können, sind unter anderem die gestellten Suchanfragen, die Adresse des Rechners, von dem aus die Anfrage gestellt wurde, sowie die aus den Trefferlisten ausgewählten Dokumente. Der klare Vorteil der Analyse von Logfiles liegt in der Möglichkeit, große Datenmengen ohne hohen personellen Aufwand erheben zu können. Die Daten einer Vielzahl anonymer Nutzer können analysiert werden; ohne dass dabei die Datenerhebung das Nutzerverhalten beeinflusst. Dies ist bei Suchmaschinen von besonderer Bedeutung, weil sie im Gegensatz zu den meisten anderen professionellen Information-Retrieval-Systemen nicht nur im beruflichen Kontext, sondern auch (und vor allem) privat genutzt werden. Das Bild des Nutzungsverhaltens wird in Umfragen und Laboruntersuchungen verfälscht, weil Nutzer ihr Anfrageverhalten falsch einschätzen oder aber die Themen ihrer Anfragen nicht nennen möchten. Hier ist vor allem an Suchanfragen, die auf medizinische oder pornographische Inhalte gerichtet sind, zu denken. Die Analyse von Logfiles ist allerdings auch mit Problemen behaftet: So sind nicht alle gewünschten Daten überhaupt in den Logfiles enthalten (es fehlen alle Informationen über den einzelnen Nutzer), es werden keine qualitativen Informationen wie etwa der Grund einer Suche erfasst und die Logfiles sind aufgrund technischer Gegebenheiten teils unvollständig. Die Autoren schließen aus den genannten Vor- und Nachteilen, dass sich Logfiles gut für die Auswertung des Nutzerverhaltens eignen, bei der Auswertung jedoch die Ergebnisse von Untersuchungen, welche andere Methoden verwenden, berücksichtigt werden sollten.

RSWK

Internet / Information Retrieval (BVB)

Subject

Internet / Information Retrieval (BVB)

0.0039582625 = product of:
  0.007916525 = sum of:
    0.007916525 = product of:
      0.01583305 = sum of:
        0.01583305 = weight(_text_:retrieval in 4854) [ClassicSimilarity], result of:
          0.01583305 = score(doc=4854,freq=2.0), product of:
            0.15791564 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.052204985 = queryNorm
            0.10026272 = fieldWeight in 4854, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.0234375 = fieldNorm(doc=4854)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Footnote

Vgl.: http://www.springer.com/computer/database+management+%26+information+retrieval/book/978-3-540-72215-1.

0.0026388417 = product of:
  0.0052776835 = sum of:
    0.0052776835 = product of:
      0.010555367 = sum of:
        0.010555367 = weight(_text_:retrieval in 442) [ClassicSimilarity], result of:
          0.010555367 = score(doc=442,freq=2.0), product of:
            0.15791564 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.052204985 = queryNorm
            0.06684181 = fieldWeight in 442, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.015625 = fieldNorm(doc=442)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Footnote

Chapter 2 examines the politics of information retrieval in the context of collaborative filtering techniques. Rogers begins by discussing the underpinnings of modern search engine design by examining medieval practices of knowledge seeking, following up with a critique of the collaborative filtering techniques. Rogers's major contention is that collaborative filtering rids us of user idiosyncrasies as search query strings, preferences, and recommendations are shared among users and without much care for the differences among them, both in terms of their innate characteristics and also their search goals. To illustrate Rogers' critiques of collaborative filtering, he describes an information searching experiment that he conducted with students at University of Vienna and University of Amsterdam. Students were asked to search for information on Viagra. As one can imagine, depending on a number of issues, not the least of which is what sources did one extract information from, a student would find different accounts of reality about Viagra, everything from a medical drug to a black-market drug ideal for underground trade. Rogers described how information on the Web differed from official accounts for certain events. The information on the Web served as an alternative reality. Chapter 3 describes the Web as a dynamic debate-mapping tool, a political instrument. Rogers introduces the "Issue Barometer," an information instrument that measures the social pressure on a topic being debated by analyzing data available from the Web. Measures used by the Issue Barometer include temperature of the issue (cold to hot), activity level of the debate (mild to intense), and territorialization (one country to many countries). The Issues Barometer is applied to an illustrative case of the public debate surrounding food safety in the Netherlands in 2001. Chapter 4 introduces "The Web Issue Index," which provides an indication of leading societal issues discussed on the Web. The empirical research on the Web Issues Index was conducted on the Genoa G8 Summit in 1999 and the anti-globalization movement. Rogers focus here was to examine the changing nature of prominent issues over time, i.e., how issues gained and lost attention and traction over time.