Search (7 results, page 1 of 1)

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Abstract

This book constitutes the refereed proceedings of the 10th European Conference on Research and Advanced Technology for Digital Libraries, ECDL 2006, held in Alicante, Spain in September 2006. The 36 revised full papers presented together with the extended abstracts of 18 demo papers and 15 revised poster papers were carefully reviewed and selected from a total of 159 submissions. The papers are organized in topical sections on architectures, preservation, retrieval, applications, methodology, metadata, evaluation, user studies, modeling, audiovisual content, and language technologies.

Content

Inhalt u.a.: Architectures I Preservation Retrieval - The Use of Summaries in XML Retrieval / Zoltdn Szldvik, Anastasios Tombros, Mounia Laimas - An Enhanced Search Interface for Information Discovery from Digital Libraries / Georgia Koutrika, Alkis Simitsis - The TIP/Greenstone Bridge: A Service for Mobile Location-Based Access to Digital Libraries / Annika Hinze, Xin Gao, David Bainbridge Architectures II Applications Methodology Metadata Evaluation User Studies Modeling Audiovisual Content Language Technologies - Incorporating Cross-Document Relationships Between Sentences for Single Document Summarizations / Xiaojun Wan, Jianwu Yang, Jianguo Xiao - Semantic Web Techniques for Multiple Views on Heterogeneous Collections: A Case Study / Marjolein van Gendt, Antoine Isaac, Lourens van der Meij, Stefan Schlobach Posters - A Tool for Converting from MARC to FRBR / Trond Aalberg, Frank Berg Haugen, Ole Husby

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Abstract

A modern information retrieval system must have the capability to find, organize and present very different manifestations of information - such as text, pictures, videos or database records - any of which may be of relevance to the user. However, the concept of relevance, while seemingly intuitive, is actually hard to define, and it's even harder to model in a formal way. Lavrenko does not attempt to bring forth a new definition of relevance, nor provide arguments as to why any particular definition might be theoretically superior or more complete. Instead, he takes a widely accepted, albeit somewhat conservative definition, makes several assumptions, and from them develops a new probabilistic model that explicitly captures that notion of relevance. With this book, he makes two major contributions to the field of information retrieval: first, a new way to look at topical relevance, complementing the two dominant models, i.e., the classical probabilistic model and the language modeling approach, and which explicitly combines documents, queries, and relevance in a single formalism; second, a new method for modeling exchangeable sequences of discrete random variables which does not make any structural assumptions about the data and which can also handle rare events. Thus his book is of major interest to researchers and graduate students in information retrieval who specialize in relevance modeling, ranking algorithms, and language modeling.

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Date

22. 2.2013 11:34:18

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Content

Enthält die Kapitel: - Grundlagen der Informationswissenschaft Ziel der Buchreihe - Informationswissenschaft - Information und Wissen - Propädeutik des Information Retrieval Geschichte des Information Retrieval - Grundbegriffe des Information Retrieval - Relevanz und Pertinenz - Dokumente - Typologie von Retrievalsystemen - Architektur eines Retrievalsystems - Boolesche Retrievalsysteme Boolesches Retrieval - Informetrische Analysen - Erweitertes Boolesches Retrieval - Informationslinguistik - Natural Language Processing n-Gramme - Worte - Phrasen, Eigennamen, Komposita - Begriffe - Anaphora - Fehlertolerantes Retrieval - Klassische Retrievalmodelle Textstatistik - Vektorraummodell - Probabilistisches Modell - Web Information Retrieval Linktopologie - Strukturinformationen in Dokumenten - Nutzer und Nutzung - Themenentdeckung und -verfolgung - Spezialprobleme des Information Retrieval Soziale Netzwerke und "small worlds" - Kontrolliertes Vokabular - Sprachübergreifendes Retrieval - Anfragedialog - Retrieval von Textstellen - Bild- und Tonretrieval

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Date

7. 4.2008 21:41:29

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Footnote

Neben Anwendungen und Beispielen aus verschiedenen Ländern belegt der Autor anhand beeindruckender Beispiele, wie wenig sinnstiftend Wort-/Wortsstammfilter sind (Seite 84 bis 91). Ein Hauptproblem in der Informations- und Wissensgesellschaft sieht er darin: »Die Bequemlichkeit der Nutzer« führe zu einer selbst auferlegten »Informationsbeschränkung« bei der Nutzung von Suchmaschinen (Seite 18 bis 21). Dementsprechend sieht Strzolka in der »fehlenden Informationskompetenz und Zensur« eine »unheilvolle Allianz« (Seite 24). »Sich auf Suchmaschinen als objektive Instanz zu verlassen«, heißt es später (Seite 56), »ist so naiv, wie die Bibel als einzige Informationsquelle für das Leben in der modernen Welt zu nutzen«. Denn: »Suchmaschinen zensieren nicht - Ihre Betreiber organisieren Zensur.« Internetzensur Auf 25 Seiten (Seite 74 bis 99) dokumentiert Strzolka mit bemerkenswerten Beispielen, wie das in der Praxis geschieht. Nach Strzolka beteiligen sich Bibliothekare auch an der (Internet-)Zensur (Seite 22 f, mit Beispielen auf Seite 34). Hier wäre eine tiefergehende Auseinsandersetzung angebracht gewesen. Beeindruckend dabei, wie Strzolka über »Zensur und Idiotenfallen« (Seite 84 bis 90) berichtet. »Das Internet ist eine ausgesprochen heterogene Datensammlung und >keineswegs die größte Bibliothek der Welt>, wie immer zu hören ist.« (Seite 25) Denn: »Informationsportale verengen den Weg in die Wissensgesellschaft [...], weil sie die Fokussierung auf gewünschte Quellen [fördern]« (Seite 25). Vor diesem Hintergrund müsse deshalb eher von »Informationsbeschränkung« als von »Informationsvielfalt« die Rede sein.