Search (6 results, page 1 of 1)

0.011655438 = product of:
  0.058277186 = sum of:
    0.03915052 = weight(_text_:buch in 506) [ClassicSimilarity], result of:
      0.03915052 = score(doc=506,freq=4.0), product of:
        0.13472971 = queryWeight, product of:
          4.64937 = idf(docFreq=1149, maxDocs=44218)
          0.028978055 = queryNorm
        0.29058564 = fieldWeight in 506, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.64937 = idf(docFreq=1149, maxDocs=44218)
          0.03125 = fieldNorm(doc=506)
    0.012581941 = weight(_text_:und in 506) [ClassicSimilarity], result of:
      0.012581941 = score(doc=506,freq=8.0), product of:
        0.06422601 = queryWeight, product of:
          2.216367 = idf(docFreq=13101, maxDocs=44218)
          0.028978055 = queryNorm
        0.19590102 = fieldWeight in 506, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          2.216367 = idf(docFreq=13101, maxDocs=44218)
          0.03125 = fieldNorm(doc=506)
    0.006544724 = product of:
      0.013089448 = sum of:
        0.013089448 = weight(_text_:information in 506) [ClassicSimilarity], result of:
          0.013089448 = score(doc=506,freq=22.0), product of:
            0.050870337 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.028978055 = queryNorm
            0.25731003 = fieldWeight in 506, product of:
              4.690416 = tf(freq=22.0), with freq of:
                22.0 = termFreq=22.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.03125 = fieldNorm(doc=506)
      0.5 = coord(1/2)
  0.2 = coord(3/15)

Abstract

Unternehmen sehen sich heutzutage regelmäßig der Herausforderung gegenübergestellt, aus umfangreichen Mengen an Dokumenten schnell relevante Informationen zu identifizieren. Dabei zeigt sich jedoch, dass Suchverfahren, die lediglich syntaktische Abgleiche von Informationsbedarfen mit potenziell relevanten Dokumenten durchführen, häufig nicht die an sie gestellten Erwartungen erfüllen. Viel versprechendes Potenzial bietet hier der Einsatz von Ontologien für das Information Retrieval. Beim ontologiebasierten Information Retrieval werden Ontologien eingesetzt, um Wissen in einer Form abzubilden, die durch Informationssysteme verarbeitet werden kann. Eine Berücksichtigung des so explizierten Wissens durch Suchalgorithmen führt dann zu einer optimierten Deckung von Informationsbedarfen. Jan Hermans stellt in seinem Buch ein adaptives Referenzmodell für die Entwicklung von ontologiebasierten Information Retrieval-Systemen vor. Zentrales Element seines Modells ist die einsatzkontextspezifische Adaption des Retrievalprozesses durch bewährte Techniken, die ausgewählte Aspekte des ontologiebasierten Information Retrievals bereits effektiv und effizient unterstützen. Die Anwendung des Referenzmodells wird anhand eines Fallbeispiels illustriert, bei dem ein Information Retrieval-System für die Suche nach Open Source-Komponenten entwickelt wird. Das Buch richtet sich gleichermaßen an Dozenten und Studierende der Wirtschaftsinformatik, Informatik und Betriebswirtschaftslehre sowie an Praktiker, die die Informationssuche im Unternehmen verbessern möchten. Jan Hermans, Jahrgang 1978, studierte Wirtschaftsinformatik an der Westfälischen Wilhelms-Universität in Münster. Seit 2003 war er als Wissenschaftlicher Mitarbeiter am European Research Center for Information Systems der WWU Münster tätig. Seine Forschungsschwerpunkte lagen in den Bereichen Wissensmanagement und Information Retrieval. Im Mai 2008 erfolgte seine Promotion zum Doktor der Wirtschaftswissenschaften.

RSWK

Information Retrieval / Ontologie <Wissensverarbeitung> / Wissensmanagement

Series

Advances in information systems and management science; 39

Subject

Information Retrieval / Ontologie <Wissensverarbeitung> / Wissensmanagement

0.002746075 = product of:
  0.020595562 = sum of:
    0.013345163 = weight(_text_:und in 5777) [ClassicSimilarity], result of:
      0.013345163 = score(doc=5777,freq=4.0), product of:
        0.06422601 = queryWeight, product of:
          2.216367 = idf(docFreq=13101, maxDocs=44218)
          0.028978055 = queryNorm
        0.20778441 = fieldWeight in 5777, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          2.216367 = idf(docFreq=13101, maxDocs=44218)
          0.046875 = fieldNorm(doc=5777)
    0.007250399 = product of:
      0.014500798 = sum of:
        0.014500798 = weight(_text_:information in 5777) [ClassicSimilarity], result of:
          0.014500798 = score(doc=5777,freq=12.0), product of:
            0.050870337 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.028978055 = queryNorm
            0.2850541 = fieldWeight in 5777, 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=5777)
      0.5 = coord(1/2)
  0.13333334 = coord(2/15)

Abstract

This book discusses many of the key design issues for building search engines and emphazises the important role that applied mathematics can play in improving information retrieval. The authors discuss not only important data structures, algorithms, and software but also user-centered issues such as interfaces, manual indexing, and document preparation. They also present some of the current problems in information retrieval that many not be familiar to applied mathematicians and computer scientists and some of the driving computational methods (SVD, SDD) for automated conceptual indexing

Classification

ST 230 [Informatik # Monographien # Software und -entwicklung # Software allgemein, (Einführung, Lehrbücher, Methoden der Programmierung) Software engineering, Programmentwicklungssysteme, Softwarewerkzeuge]

RSWK

Suchmaschine / Information Retrieval
Suchmaschine / Information Retrieval / Mathematisches Modell (HEBIS)

RVK

ST 230 [Informatik # Monographien # Software und -entwicklung # Software allgemein, (Einführung, Lehrbücher, Methoden der Programmierung) Software engineering, Programmentwicklungssysteme, Softwarewerkzeuge]

Subject

Suchmaschine / Information Retrieval
Suchmaschine / Information Retrieval / Mathematisches Modell (HEBIS)

0.0013870286 = product of:
  0.020805428 = sum of:
    0.020805428 = weight(_text_:und in 6) [ClassicSimilarity], result of:
      0.020805428 = score(doc=6,freq=14.0), product of:
        0.06422601 = queryWeight, product of:
          2.216367 = idf(docFreq=13101, maxDocs=44218)
          0.028978055 = queryNorm
        0.32394084 = fieldWeight in 6, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          2.216367 = idf(docFreq=13101, maxDocs=44218)
          0.0390625 = fieldNorm(doc=6)
  0.06666667 = coord(1/15)

Footnote

Rez. in: CD Info. 2003, H.10, S.12: "Der Aufwand bei der Internet-Recherche hat sich mit guten Suchmaschinen wie Google verringert. Trotzdem verbringt der Computeranwender eine Menge Zeit mit dem Öffnen und Schließen von Webseiten, die er nie benötigt hätte. Wer die Arbeitsweise und die Möglichkeiten von Google kennt, kann die Suche besser eingrenzen und gelangt oft direkter zur gewünschten Homepage. Der Google Pocket Guide erläutert die Funktionsweise des am meisten verwendeten Suchtools, gibt Tipps zur optimalen Nutzung und liefert gleich einige konkrete Beispiele für deren Verwendung. Neben den Optionen der Erweiterten Suche widmet sich das kleine Taschenbuch auch der Syntax der Website, sodass die Befehle direkt in die Suchmaske eingegeben werden können. Auch Zusatz-Features wie die Bildersuche, der Webkatalog, die Newsgroup-Datenbank sowie der seit Kurzem auch in deutscher Sprache verfügbare News-Bereich werden behandelt. Der Google Pocket Guide erläutert kurz und bündig die wichtigsten Techniken und hilft Zeit und Aufwand zu sparen. Der brandneue Titel ist derzeit leider nur in Englisch verfügbar."

6.5447245E-4 = product of:
  0.009817086 = sum of:
    0.009817086 = product of:
      0.019634172 = sum of:
        0.019634172 = weight(_text_:information in 2605) [ClassicSimilarity], result of:
          0.019634172 = score(doc=2605,freq=22.0), product of:
            0.050870337 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.028978055 = queryNorm
            0.38596505 = fieldWeight in 2605, product of:
              4.690416 = tf(freq=22.0), with freq of:
                22.0 = termFreq=22.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046875 = fieldNorm(doc=2605)
      0.5 = coord(1/2)
  0.06666667 = coord(1/15)

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

3.4805894E-4 = product of:
  0.005220884 = sum of:
    0.005220884 = product of:
      0.010441768 = sum of:
        0.010441768 = weight(_text_:information in 7) [ClassicSimilarity], result of:
          0.010441768 = score(doc=7,freq=14.0), product of:
            0.050870337 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.028978055 = queryNorm
            0.20526241 = fieldWeight in 7, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.03125 = fieldNorm(doc=7)
      0.5 = coord(1/2)
  0.06666667 = coord(1/15)

Abstract

The second edition of Understanding Search Engines: Mathematical Modeling and Text Retrieval follows the basic premise of the first edition by discussing many of the key design issues for building search engines and emphasizing the important role that applied mathematics can play in improving information retrieval. The authors discuss important data structures, algorithms, and software as well as user-centered issues such as interfaces, manual indexing, and document preparation. Significant changes bring the text up to date on current information retrieval methods: for example the addition of a new chapter on link-structure algorithms used in search engines such as Google. The chapter on user interface has been rewritten to specifically focus on search engine usability. In addition the authors have added new recommendations for further reading and expanded the bibliography, and have updated and streamlined the index to make it more reader friendly.

Content

Inhalt: Introduction Document File Preparation - Manual Indexing - Information Extraction - Vector Space Modeling - Matrix Decompositions - Query Representations - Ranking and Relevance Feedback - Searching by Link Structure - User Interface - Book Format Document File Preparation Document Purification and Analysis - Text Formatting - Validation - Manual Indexing - Automatic Indexing - Item Normalization - Inverted File Structures - Document File - Dictionary List - Inversion List - Other File Structures Vector Space Models Construction - Term-by-Document Matrices - Simple Query Matching - Design Issues - Term Weighting - Sparse Matrix Storage - Low-Rank Approximations Matrix Decompositions QR Factorization - Singular Value Decomposition - Low-Rank Approximations - Query Matching - Software - Semidiscrete Decomposition - Updating Techniques Query Management Query Binding - Types of Queries - Boolean Queries - Natural Language Queries - Thesaurus Queries - Fuzzy Queries - Term Searches - Probabilistic Queries Ranking and Relevance Feedback Performance Evaluation - Precision - Recall - Average Precision - Genetic Algorithms - Relevance Feedback Searching by Link Structure HITS Method - HITS Implementation - HITS Summary - PageRank Method - PageRank Adjustments - PageRank Implementation - PageRank Summary User Interface Considerations General Guidelines - Search Engine Interfaces - Form Fill-in - Display Considerations - Progress Indication - No Penalties for Error - Results - Test and Retest - Final Considerations Further Reading

RSWK

Suchmaschine / Information Retrieval
Suchmaschine / Information Retrieval / Mathematisches Modell (HEBIS)

Subject

Suchmaschine / Information Retrieval
Suchmaschine / Information Retrieval / Mathematisches Modell (HEBIS)

3.255793E-4 = product of:
  0.0048836893 = sum of:
    0.0048836893 = product of:
      0.009767379 = sum of:
        0.009767379 = weight(_text_:information in 1749) [ClassicSimilarity], result of:
          0.009767379 = score(doc=1749,freq=4.0), product of:
            0.050870337 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.028978055 = queryNorm
            0.1920054 = fieldWeight in 1749, 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=1749)
      0.5 = coord(1/2)
  0.06666667 = coord(1/15)

Abstract

A practical approach to developing and operating an effective programme to manage hybrid records within an organization. This title positions records management as an integral business function linked to the organisation's business aims and objectives. The authors also address the records requirements of new and significant pieces of legislation, such as data protection and freedom of information, as well as exploring strategies for managing electronic records. Bullet points, checklists and examples assist the reader throughout, making this a one-stop resource for information in this area.